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Postdoc Position on ML for Gravitational-wave Astrophysics at Cardiff University
by raymondv＠cardiff.ac.uk 24 Jan '22

24 Jan '22

The Cardiff University Gravity Exploration Institute (http://www.astro.cardiff.ac.uk/research/gravity/) seeks applications to fill the position of Postdoctoral Research Associate in observational gravitational-wave astronomy. Two positions are available: - Vacancy 13326BR: The successful applicant will lead Cardiff’s astrophysical interpretation of compact binary coalescence signals in data from the LIGO-Virgo-KAGRA network. Particular focus will be placed on obtaining the most reliable and accurate inferences, taking into account both detector and signal modelling complexities. Candidates with experience in using machine learning techniques are encouraged to apply. For informal enquiries about the post please contact Vivien Raymond (RaymondV @cardiff.ac.uk). - Vacancy 13328BR: The successful applicant will lead the development of Cardiff’s machine-learning pipeline for the low-latency detection of generic gravitational-wave transient signals in data from the LIGO-Virgo-KAGRA network. Candidates with experience in using machine learning techniques in gravitational-wave astronomy are encouraged to apply. For informal enquiries about the post please contact Prof. Patrick Sutton (SuttonPJ1 @cardiff.ac.uk). Both positions are full-time, fixed-term for 2 years and available immediately. Salary: £34,304 - £40,927 per annum (Grade 6). For full information or to apply, please visit https://www.cardiff.ac.uk/jobs/vacancies/academic-vacancies , click on "View our academic vacancies", and search for posts 13326BR or 13328BR. For informal enquiries about working at Cardiff School of Physics and Astronomy please contact Courtney Watkins (phys...(a)cardiff.ac.uk) Application deadline: Thursday, 3 February 2022. Interview are expected to be held mid-February 2022. Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who have the ambition to create a University which seeks to fulfil our social, cultural and economic obligation to Cardiff, Wales, and the world. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements. “Cardiff University is a signatory to the San Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: https://www.cardiff.ac.uk/research/our-research-environment/integrity-and-e…

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Postdoc Position on ML for Gravitational-wave Astrophysics at Cardiff University
by raymondv＠cardiff.ac.uk 24 Jan '22

24 Jan '22

The Cardiff University Gravity Exploration Institute (http://www.astro.cardiff.ac.uk/research/gravity/) seeks applications to fill the position of Postdoctoral Research Associate in observational gravitational-wave astronomy. Two positions are available: - Vacancy 13326BR: The successful applicant will lead Cardiff’s astrophysical interpretation of compact binary coalescence signals in data from the LIGO-Virgo-KAGRA network. Particular focus will be placed on obtaining the most reliable and accurate inferences, taking into account both detector and signal modelling complexities. Candidates with experience in using machine learning techniques are encouraged to apply. For informal enquiries about the post please contact Vivien Raymond (RaymondV @cardiff.ac.uk). - Vacancy 13328BR: The successful applicant will lead the development of Cardiff’s machine-learning pipeline for the low-latency detection of generic gravitational-wave transient signals in data from the LIGO-Virgo-KAGRA network. Candidates with experience in using machine learning techniques in gravitational-wave astronomy are encouraged to apply. For informal enquiries about the post please contact Prof. Patrick Sutton (SuttonPJ1 @cardiff.ac.uk). Both positions are full-time, fixed-term for 2 years and available immediately. Salary: £34,304 - £40,927 per annum (Grade 6). For full information or to apply, please visit https://www.cardiff.ac.uk/jobs/vacancies/academic-vacancies , click on "View our academic vacancies", and search for posts 13326BR or 13328BR. For informal enquiries about working at Cardiff School of Physics and Astronomy please contact Courtney Watkins (phys...(a)cardiff.ac.uk) Application deadline: Thursday, 3 February 2022. Interview are expected to be held mid-February 2022. Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who have the ambition to create a University which seeks to fulfil our social, cultural and economic obligation to Cardiff, Wales, and the world. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements. “Cardiff University is a signatory to the San Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: https://www.cardiff.ac.uk/research/our-research-environment/integrity-and-e…

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Computational and Applied Statistics at ICCSA 2022 - First call for papers
by Ana Cristina Silva Braga 18 Jan '22

18 Jan '22

***************************************************************************** Apologies if you receive multiple copies of this email. First Call for Papers (Scopus and ISI index) Deadline March 27, 2022 ***************************************************************************** Dear Colleague, This is an invitation to submit a contribution for the: Computational and Applied Statistics (https://cas2022.webnode.page) Workshop of the 22st International Conference on Computational Science and Applications (ICCSA 2022, https://iccsa.org) will be held on July 4-7, 2022, in Malaga, Spain. Like last year, ICCSA 2022 offers the possibility of online-only participation (with reduces registration fees). But we are also planning to offer the possibility of in-presence participation, should the pandemic situation allow it, by setting up a blended experience for mixed online/in-presence sessions. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, Python, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES ================ March 27, 2022: Deadline for abstract and paper submission April 15, 2022: Notification of Acceptance May 10, 2022: Submission deadline for the final version of the Paper (hard deadline) May 10, 2022: Registration ends (hard deadline) July 4-7, 2022: ICCSA 2022 Conference in Malaga, Spain PROCEEDINGS ============ The proceedings of the CAS 2022 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact. Best regards, Ana Cristina Braga (CAS 2022 organizer)

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[CFP] ACM International Conference on Computing Frontiers 2022
by Tumeo, Antonino 07 Jan '22

07 Jan '22

[Apologies for multiple postings] ACM International Conference on Computing Frontiers 2020 (http://www.computingfrontiers.org) Turin, Italy May 17-19, 2022 The next ACM International Conference on Computing Frontiers will take place on May 17th - 19th, 2022. The Computing Frontiers 2022 conference will take place in Turin, Italy. As the situation related to COVID-19 is improving, safety measures and restrictions will remain uncertain for the upcoming months across Europe and worldwide. In transition towards a future post-pandemic event again, CF2022 will support remote participation for the speakers which undergo travel restrictions. Computing Frontiers is an eclectic, interdisciplinary, collaborative community of researchers who investigate emerging technologies in the broad field of computing: our common goal is to drive the scientific breakthroughs that support society. CF's broad scope is driven by recent technological advances in wide-ranging fields impacting computing, such as novel computing models and paradigms, advancements in hardware, network and systems architecture, cloud computing, novel device physics and materials, new application domains of artificial intelligence, big data analytics, wearables and IoT. The boundaries between the state-of-the-art and revolutionary innovation constitute the advancing frontiers of science, engineering, and information technology — and are the CF community focus. CF provides a venue to share, discuss, and advance broad, forward-thinking, early research on the future of computing and welcomes work on a wide spectrum of computer systems, from embedded and hand-held/wearable devices to supercomputers and datacenters. ——————————— Topics of Interest ——————————— We seek original research contributions at the frontiers of a wide range of topics, including novel computational models and algorithms, new application paradigms, computer architecture (from embedded to HPC systems), computing hardware, memory technologies, networks, storage solutions, compilers, and environments. * Innovative Computing Approaches, Architectures, Accelerators, Algorithms, and Models - Approximate, analog, inexact, probabilistic computing - Neuromorphic, biologically-inspired computing, and hyperdimensional computing - Dataflow architectures, near-data, and in-memory processing * Quantum computing systems - Quantum algorithms and applications for current and near-term quantum devices - Quantum programming models, runtime, compilers and microarchitecture - Quantum error correction and fault-tolerant quantum computation - Architectures and design methodologies for scalable quantum computing systems - Benchmarks, methods, and performance metrics to evaluate quantum computing systems * Technological Scaling Limits and Beyond - Limits: Defect- and variability-tolerant designs, graphene and other novel materials, nanoscale design, dark silicon - Extending past Moore's law: 3D-stacking, heterogeneous architectures and accelerators, chiplets, distributed and federated computing and their challenges * Efficient AI computing - Deep learning co-processors including architectures, efficient algorithms, chip design and hardware-software codesign, frameworks and programming models - Edge deep learning for IoT and Cyber-Physical Systems - Distributed AI computing for cloud data servers * Embedded, IoT, and Cyber-Physical Systems - Ultra-low power designs, energy scavenging - Physical security, attack detection and prevention - Reactive, real-time, scalable, reconfigurable, and self-aware systems - Sensor networks, IoT, and architectural innovation for wearable computing * Large-Scale System Design and Networking - Large-scale homogeneous/heterogeneous architectures and networking - System-balance and CPU-offloading - Power- and energy-management for clouds, datacenters, and exascale systems - Big Data analytics and exascale data management * System Software, Compiler Technologies, and Programming Languages - Technologies that push the limits of operating systems, virtualization, and container technologies - Large scale frameworks for distributed computing and communication - Resource and job management, scheduling and workflow systems for managing large-scale heterogeneous systems - Compiler technologies: hardware/software integrated solutions, high-level synthesis - Tools for analyzing and managing performance at large scale - Novel programming approaches - Tools and framework for automated anomaly detection and anticipation of large-scale systems * Fault Tolerance and Resilience - Solutions for ultra-large and safety-critical systems (e.g., infrastructure, airlines) - Hardware and software approaches in adverse environments such as space * Security - Methods, system support, and hardware for protecting against malicious code - Real-time implementations of security algorithms and protocols - Quantum and post-quantum cryptography * Computers and Society - Artificial Intelligence (AI) ethics and AI environmental impact - Education, health, cost/energy-efficient design, smart cities, emerging markets, and interdisciplinary applications We strongly encourage submissions in emerging fields that may not fit into traditional categories — if in doubt, please contact the PC co-chairs by email: Andrea Bartolini (a [DOT] bartolini (AT) unibo [DOT] it ) and Anastasiia Butko (abutko (AT) lbl [DOT] gov). ——————————— Submission ——————————— We encourage the submission of both full and short papers containing high-quality research describing original and unpublished work. Papers must be submitted through https://easychair.org/conferences/?conf=cf22. Short papers may be position papers or may describe preliminary or highly speculative work. Full papers are a maximum of eight (8) (excluding references) and short papers are a maximum of four (4) (including references) double-column pages in ACM conference format. Authors may buy up to two (2) extra pages for accepted full papers. Page limits include figures, tables and scale systems Tolerance and Resilience [page2image2261515696] appendices, but exclude references for full papers. As the review process is double-blind, removal of all identifying information from paper submissions is required (i.e., cite own work in third person). Papers not conforming to the above submission policies on formatting, page limits and the removal of identifying information will be automatically rejected. Authors are strongly advised to submit their papers with the final list of authors, as changes may not be feasible at later stages. No-show policy: Any accepted papers are expected to be presented at the conference and at least one full registration is required from a submission author for each accepted paper. A no- show of papers will result in exclusion from the ACM digital library proceedings. If circumstances arise such that authors are unable to present their papers at the conference, they must contact the PC co-chairs. ——————————— Submission Format ——————————— Stage 1 - Abstract submission: A title, abstract (approx. 100 words), and a list of all co-authors must be submitted by January 30th, 2022 (AoE). You may also submit the paper at this time. Stage 2 - Paper submission: The short or full papers must be submitted by February 6th, 2022 (AoE). ——————————— Organization ——————————— General Chair Luca Sterpone, Politecnico di Torino, Italy Program Co-Chairs Andrea Bartolini, Università di Bologna, Italy Anastasiia Butko, LBLN, USA Finance Chair Siddhartha Jana, Intel Mariangela Saracco, Politecnico di Torino, Italy Local and Arrangment Chair Sarah Azimi, Politecnico di Torino, Italy Web Co-Chairs Simone Vuotto, Università di Genova, Italy Corrado De Sio, Politecnico di Torino, Italy Publication Co-Chairs Josef Weidendorfer, Technische Universität München, Germany Kristian Rietveld, Leiden University, Netherlands Registration Chair Eleonora Vacca, Politecnico di Torino, Italy Transportation Chair Daniele Rizzieri, Politecnico di Torino, Italy Publicity Chair Andrea Portaluri, Politecnico di Torino, Italy Computing Frontiers Steering Committee Michela Becchi, North Carolina State University, US John Feo, PNNL, US Hubertus Franke, New York University / IBM Research, US Paul Kelly, Imperial College London, UK Sally A. McKee, Clemson University, US Claudia Di Napoli, ICAR-CNR, IT Gianluca Palermo, Politecnico di Milano, IT Maurizio Palesi, University of Catania, IT Francesca Palumbo, University of Sassari, IT Kristian Rietveld, Leiden University, NL Kento Sato, RIKEN R-CCS, JP Martin Schulz, Technical University of Munich, DE Carsten Trinitis, Technical University of Munich, DE Antonino Tumeo, PNNL, US Josef Weidendorfer, Leibniz Supercomputing Centre, DE

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[CFP] ExSAIS 2022: Workshop on Extreme Scaling of AI for Science
by Tumeo, Antonino 07 Jan '22

07 Jan '22

[Please accept our apologies for multiple postings.] CALL FOR PAPERS ******************************************************************************* ExSAIS 2022: Workshop on Extreme Scaling of AI for Science https://hpc.pnl.gov/exsais/ June 3, 2022 Co-Located with IPDPS 2022 Lyon, France ****************************************************************************** Call for Papers --------------- The evolution of machine perception to machine learning and reasoning, and ultimately machine intelligence, has a potential to significantly impact acceleration and advancement of autonomous scientific discovery and the operation of scientific instruments. While machine reasoning will enable intelligent systems to better understand and interact with their physical world, machine intelligence through modeling, simulation and automation, closes the gap between experiments, extreme computing, and scientific discovery. In order to usher in this new era of autonomous science, advances in several areas of artificial intelligence and other disciplines e.g., high-performance computing, data engineering need to come together. Therefore, the goal of this workshop is to bring together researchers from diverse backgrounds to enable extreme scaling of AI for science. This workshop will address the overarching goal of enabling semi-autonomous and autonomous AI-driven predictive and prescriptive scientific discovery at scale by integrating extreme-scale heterogeneous and reconfigurable computing paradigms, multiscale mathematics, physics-based simulation, data sciences and engineering to address challenges across science, scientific instruments, and security domains e.g., biology, chemistry, and material science. Specific areas of interest include: * Algorithms: Advance extreme-scale Artificial Intelligence through algorithmic development in the areas of probabilistic reasoning, multimodal representation learning, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction. * Implementation and deployment: Enable scalable Artificial Intelligence through advances in distributed and parallel AI algorithms and tools, heterogeneous and reconfigurable computing platforms and paradigms, Exascale systems, and compilers and system software for extreme-scale AI/ML algorithms. * Applications: Discuss application use cases in science domains of importance including computational biology, molecular chemistry, material science, epidemiology, energy and physics. The workshop seeks short and long papers spanning all areas of scaling AI for science, engineering and security domains including but not limited to: * Parallel and distributed algorithms for machine learning, machine reasoning, and machine intelligence at scale. Specific examples include: probabilistic reasoning, data analytics, knowledge representation learning, multi-modal analysis, natural language processing, robotics, decision making, combinatorial optimization and human-machine interaction * Software tools, compilers and system software to enable AI for machine perception and reasoning at scale. Specific examples include PyTorch (and Glow), TensorFlow (and XLA), CNTK, TVM, and the MLIR framework. * Application case studies in all areas of science and engineering such as biology, chemistry, material science, high energy physics, and climate security . IMPORTANT DATES --------------- Position or full paper submission: February 1, 2022 AoE Notification: February 28, 2022 AoE Camera-ready: March 15, 2022 Workshop: June 3, 2022 PAPER SUBMISSIONS --------------- Submission site: https://ssl.linklings.net/conferences/ipdps Authors can submit two types of papers: Short papers (up to 4 pages) and long papers (up to 10 pages). All submissions must be single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. ORGANIZATION --------------- * General co-Chairs Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov Mahantesh Halappanavar (PNNL), hala(a)pnnl.gov * Program co-Chairs Svitlana Volkova (PNNL), svitlana.volkova(a)pnnl.gov Robert Rallo (PNNL), robert.rallo(a)pnnl.gov * Technical Program Committee Nesreen Ahmed, Intel, US Sadaf Alam, CSCS & ETH Zurich, CH Frank Alexander, Brookhaven National Laboratory, US Sanjukta Bhowmick, University of North Texas, US Auroop Ganguly, Northeastern University, US Gauri Joshi, Carnegie Mellon University, US Vipin Kumar, University of Minnesota, US Johannes Langguth, Simula, NO Maxim Naumov, Facebook, US Israt Nisa, Amazon, US Jim Pfaendtner, University of Washington, US Bruno Ribeiro, Purdue University, US Prabhat Ram, Lawrence Berkeley National Laboratory, US Edoardo Serra, Boise State University, US Shaden Smith, Microsoft, US Jordi Torres, Barçelona Supercomputing Center, ES Gina Tourassi, Oak Ridge National Laboratory, US Oriol Vinyals, DeepMind, US Draguna Vrabie, Pacific Northwest National Laboratory, US David Womble, Oak Ridge National Laboratory, US

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Ada-Europe 2022 Conference - 1st deadline approaching 16 Jan
by Dirk.Craeynest＠cs.kuleuven.be 02 Jan '22

02 Jan '22

----------------------------------------------------------------------- 2nd Call for Contributions 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) 14-17 June 2022, Ghent, Belgium www.ada-europe.org/conference2022 Organized by Ada-Europe in cooperation with ACM SIGAda (approval pending) and Ada Resource Association (ARA) *** 1st DEADLINE approaching 16 January 2022 *** #AEiC2022 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- *** General Information The 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) will take place in Ghent, Belgium, in the week of 14-17 June, in dual mode, with a solid core of in-presence activities accompanied by digital support for remote participation. The conference schedule comprises a journal track, an industrial track, a work-in-progress track, a vendor exhibition, parallel tutorials, and satellite workshops. *** Schedule 16 January 2022: Submission deadline for journal-track papers, tutorials and workshop proposals. 27 February 2022: Submission deadline for industrial-track and work-in-progress-track abstracts. 14 March 2022: Notification of invitations-to-present for journal-track papers. Notification of acceptance for all other types of submission. 3 April 2022: Publication of advance program. *** Topics The conference is an established international forum for providers, practitioners and researchers in reliable software technologies. The conference presentations will illustrate current work in the theory and practice of developing, running and maintaining challenging long-lived, high-quality software systems for a variety of application domains including manufacturing, robotics, avionics, space, health care, transportation, cloud environments, smart energy, serious games. The program will allow ample time for keynotes, Q&A sessions and discussions, and social events. Participants include practitioners and researchers from industry, academia and government organizations active in the promotion and development of reliable software technologies. The topics of interest for the conference include but are not limited to: - Real-Time and Safety-Critical Systems: design, implementation and verification challenges, novel approaches, e.g., Mixed-Criticality Systems, novel scheduling algorithms, novel design and analysis methods; - High-Integrity Systems and Reliability: theory and practice of High-Integrity Systems, languages vulnerabilities and countermeasures, architecture-centred development methods and tools; - Reliability-oriented Programming Languages (not limited to Ada): compilation and runtime challenges, language profiles, use cases and experience reports, language education and training initiatives; - Experience Reports: case studies, lessons learned, and comparative assessments. Refer to the conference website for the full list of topics. *** Call for Journal-track Submissions Following the journal-first model inaugurated in 2019, the conference includes a journal-track that seeks original and high-quality submissions that describe mature research work in the scope of the conference. Accepted papers for this track will be published in the "Reliable Software Technologies (AEiC2022)" Special Issue of the Journal of Systems Architecture (JSA). General information for submitting to the JSA can be found at https://www.journals.elsevier.com/journal-of-systems-architecture. Submissions should be made online at https://www.editorialmanager.com/jsa/ by selecting the "VSI:AEiC2022" option for the paper type. In order to speed up publication, the JSA has adopted the Virtual Special Issue model, whereby acceptance decisions are made on a rolling basis. On that account, authors are encouraged to submit as early as they can, no later than 16 January 2022. Authors who have successfully passed the first round of review will be invited to present their work at the conference. Ada-Europe, the main conference sponsor, will cover the Open Access fees for the first four papers to gain final acceptance, which do not already enjoy OA from personalized bilateral agreements with the Publisher. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Jérôme Hugues, at the listed address. *** Call for Industrial-track Submissions The conference seeks industrial practitioner presentations that deliver insight on the challenges of developing reliable software. Given their applied nature, such contributions will be subject to a dedicated practitioner-peer review process. Interested authors shall submit a short (one-to-two pages) abstract, by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be invited to expand their contributions into full-fledged articles for publication in the Ada User Journal, which will form the proceedings of the Industrial track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Alejandro R. Mosteo, at the listed address. *** Call for Work-in-Progress-track Submissions The Work-in-Progress track seeks two kinds of submissions: (a) ongoing research, and (b) early-stage ideas. Ongoing research submissions are 4-page papers that describe research results that are not mature enough to be submitted to the journal track as yet. Early-stage ideas, are 1-page papers that pitch new research directions that fall in the scope of the conference. Both kinds of submission must be original and shall undergo anonymous peer review. Submissions by recent MSc graduates and PhD students are especially sought. Authors shall submit their work by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be offered the opportunity to expand their contributions into 4-page articles for publication in the Ada User Journal, which will form the proceedings of the WiP track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Frank Singhoff, at the listed address. *** Academic Listing The Journal of Systems Architecture, publication venue of the journal-track proceedings of the conference, was ranked Q1 (SJR) in the year 2020, also featuring 72th percentile in CiteScope (Scopus). The Ada User Journal, venue of all other technical proceedings of the conference, is indexed by Scopus and by EBSCOhost in the Academic Search Ultimate database. *** Awards Ada-Europe will offer an honorary award for the best technical presentation, to be announced in the closing session of the conference. *** Call for Tutorials The conference seeks tutorials in the form of educational seminars on themes falling within the conference scope, with an academic or practitioner slant, including hands-on or practical elements. Tutorial proposals shall include a title, an abstract, a description of the topic, an outline of the presentation, the proposed duration (half day or full day), the intended level of the contents (introductory, intermediate, or advanced), and a statement motivating attendance. Tutorial proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: tutorial proposal]". The authors of accepted full-day tutorials will receive a complimentary conference registration, halved for half-day tutorials. The Ada User Journal will offer space for the publication of summaries of the accepted tutorials. *** Call for Workshops The conference welcomes satellite workshops centred on themes that fall within the conference scope. Proposals may be submitted for half- or full-day events, to be scheduled at either end of the conference proper. Workshop proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: workshop proposal]". Workshop organizers shall also commit to producing the proceedings of the event, for publication in the Ada User Journal. *** Call for Exhibitors The conference will include a vendor and technology exhibition. Interested providers should direct inquiries to the Exhibition Chair. *** Venue The conference will take place in the heart of the city of Ghent, Belgium, capital of the East Flanders province, a halfhour train ride north-west of Brussels. Ghent is rich in history, culture and higher-education, with a top-100 university founded in 1817. *** Organizing Committee * Conference Chair Tullio Vardanega, University of Padua, Italy tullio.vardanega at unipd.it * Journal-track Chair Jérôme Hugues, Carnegie Mellon University, USA jjhugues at sei.cmu.edu * Industrial-track Chair Alejandro R.Mosteo, Centro Universitario de la Defensa, Zaragoza, Spain amosteo at unizar.es * Work-in-Progress-track Chair Frank Singhoff, University of Brest, France frank.singhoff at univ-brest.fr * Tutorial and Workshop Chair Aurora Agar Armario, NATO, the Netherlands aurora.agar at ncia.nato.int * Exhibition & Sponsorship Chair Ahlan Marriott, White Elephant GmbH, Switzerland software at white-elephant.ch * Publicity Chair Dirk Craeynest, Ada-Belgium & KU Leuven, Belgium dirk.craeynest at cs.kuleuven.be * Local Chair Vicky Wandels, University of Ghent, Belgium Vicky.Wandels at UGent.be *** Previous Editions Ada-Europe organizes annual international conferences since the early 80's. This is the 26th event in the Reliable Software Technologies series, previous ones being held at Montreux, Switzerland ('96), London, UK ('97), Uppsala, Sweden ('98), Santander, Spain ('99), Potsdam, Germany ('00), Leuven, Belgium ('01), Vienna, Austria ('02), Toulouse, France ('03), Palma de Mallorca, Spain ('04), York, UK ('05), Porto, Portugal ('06), Geneva, Switzerland ('07), Venice, Italy ('08), Brest, France ('09), Valencia, Spain ('10), Edinburgh, UK ('11), Stockholm, Sweden ('12), Berlin, Germany ('13), Paris, France ('14), Madrid, Spain ('15), Pisa, Italy ('16), Vienna, Austria ('17), Lisbon, Portugal ('18), Warsaw, Poland ('19), and online from Santander, Spain ('21). Information on previous editions of the conference can be found at http://www.ada-europe.org/confs/ae. ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2022 Publicity Chair Dirk.Craeynest(a)cs.kuleuven.be * 26th Ada-Europe Int.Conf. Reliable Software Technologies (AEiC 2022) * June 14-17, 2022, Ghent, Belgium * www.ada-europe.org/conference2022

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Postdoc Position on Industrial IoT at NTU Singapore
by Tan Rui (Assoc Prof) 29 Dec '21

29 Dec '21

A postdoctoral Research Fellow position is immediately available at the HP-NTU Digital Manufacturing Corporate Lab (https://www.ntu.edu.sg/hp-ntu-corp-lab) Nanyang Technological University (NTU), Singapore. The successful candidate will join the Corporate Lab and the NTU IoT Sensing Group (https://ntuiot.xyz) to conduct research in the area of industrial IoT with focus topics of embedded 3D sensing and the integration with industrial robots. The candidates should have obtained a PhD degree in computer science, computer engineering, or relevant disciplines, and have strong research background and system implementation skills. Research experiences with depth camera, LIDAR, and mmWave radar are pluses. The position will provide excellent opportunities to perform applied research in close collaboration with Hewlett-Packard. Other advantages of the position include: - Stable multi-year fund subject to satisfactory performance; - Various opportunities in Singapore's strategic IoT and AI research clusters; - High-quality living and low tax rates in Singapore. Interested candidates can send CV with full publication list to Dr. Rui Tan at tanrui(a)ntu.edu.sg NTU IoT Sensing Group (https://ntuiot.xyz) is a research team based in the School of Computer Science and Engineering (SCSE), NTU. We focus on the research, design, and evaluation of networked, energy-efficient, and secure sensing systems found in the Internet of Things (IoT) and its AI-empowered generation (AIoT). Our research has two main sub-directions of IoT sensing systems/applications and security/privacy of AIoT sensing. In the first sub-direction, with a strong experimental focus, we study a number of sensing modalities (e.g., powerline radiation, radio frequency, acoustics, image, thermal, and energy), exploit them to construct system functions and applications. In the second sub-direction, we study the security and privacy of AIoT sensing systems that use machine learning to process the sensed data. Due to the immediate application potential, our research has been funded externally by government authorities and companies in the ICT, energy, and manufacturing sectors. Our research works have won multiple best paper awards and runner-up recognitions on various prestigious conferences. We invite candidates with great passion for systems research to join us! About NTU and SCSE: NTU is a fast-rising young university. It is No. 1 among universities under 50 years (2021). The computer science of NTU is ranked 4th and 8th in the world according to The US News and The Academic Ranking of World Universities (Shanghai Ranking) in 2021. ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 20 Dec '21

20 Dec '21

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

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[Deadline Extended: 19th Dec] The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022)
by Bahman Javadi 16 Dec '21

16 Dec '21

============================================================================= The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) in conjunction with the 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022) May 16-19, 2022, Taormina, Sicily, Italy* http://fcrlab.unime.it/ccgrid22/ Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH Hosted/Organised by: * University of Messina, Italy * Cardiff University, UK * University of Klagenfurt, Austria * Ohio State University, USA * Future Computing Research LAB (FCRLAB), Italy ============================================================================= *The safety and well-being of all conference participants is our priority. The CCGrid organizers are closely monitoring the developments of COVID-19. Due to many requests, both the abstract and the regular papers submission deadlines of CCGrid have been extended to Dec 19th, 2021. No further extensions will be provided. Call For Papers The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2022 conference. CCGrid will act with responsibility as its primary consideration. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and ACM Policy Against Harassment. We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: Track 1: Future Internet computing systems Topics in the track: - Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. - Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems; - Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Software Defined Membranes; - Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, and billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. Track 2: Programming models and runtime systems Topics in the track: - Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Track 3: Distributed middleware and network architectures Topics in the track: - Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs; - Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things. Track 4: Storage and I/O systems Topics in the track: - Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Track 5: Security, privacy, trust and resilience Topics in the track: - Cyber-Security, Privacy and Resilient Distributed Systems: Distributed. Systems security and trust Access control. Data privacy and integrity.. Regulation. Resiliency of service attacks. Track 6: Performance modeling, scheduling, and analysis Topics in the track: - Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques; - Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Track 7: Sustainable and green computing Topics in the track: - Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Track 8: Scientific and industrial applications Topics in the track: - Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications; - Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms. Digital Twin the virtual replica of a physical entity. Track 9: Artificial intelligence, Machine Learning and Deep Learning Topics in the track: - Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge and in the Cloud. Cognitive computing; - Machine learning: deep learning, statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation; - Applicative domains: healthcare, sustainability, transportation, commerce,neuroscience and cognitive science; - Quantum machine learning. ================================================================================ Paper Submission: ================= Authors are invited to submit papers electronically through the following link:https://easychair.org/conferences/?conf=ccgrid2022 Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (https://www.ieee.org/conferences/publishing/templates.html) All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries. Important Dates: ================== Timezone: Anywhere in the world! Abstact Paper Due: December 19, 2021 (Final paper submission: December 19, 2021) Full Paper Due: December 19, 2021 (firm deadline) Acceptance Notification: February 11, 2022 Camera Ready Papers Due: March 11, 2022 Best Paper Awards: ================== CCGrid will present Best Paper Awards to the author(s) of top three papers selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Journal Special Issue: ====================== Highly top rated papers from the CCGrid 2022 conference will be invited for submission of extended version for publication in one of the following special issues: - "Software: Practice and Experience" Journal published by Wiley Press; - "Green Communications via Optimization Techniques" for Sustainable Computing: Informatics and Systems published by Elsevier. General Co-Chairs: ================== Massimo Villari, University of Messina , Italy Omer Rana , Cardiff University, UK Program Committee Co-Chairs: ============================= Maria Fazio, University of Messina, Italy Radu Prodan University of Klagenfurt Austria Dhabaleswar K. (DK) Panda Ohio State University. USA Workshop Co-Chairs: ============================== Haiying Shen, University of Virginia, USA Antonio Celesti, University of Messina, Italy Publicity Co-Chairs: ============================== Jithin Jose, Microsoft, USA Bahman Javadi, Western Sydney University, Australia Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Zhicheng Cai, Nanjing University of Science and Technology, China Helene Coullon, Inria, France Sukhpal Singh Gill, Queen Mary University of London, UK Antonino Galletta, University of Messina, Italy Tracks ============================== Track 1: Future Internet computing systems: VCs Hai Jin, Huangzong University of Science and Technology, China Lydia Y. Chen, TU Delft, Netherlands PC members Yogesh Barve, Vanderbilt University Ilja Behnke, TU Berlin Jossekin Beilharz, Hasso-Plattner-Institute Quan Chen, Shanghai Jiao Tong University Yong Chen, Texas Tech University Xiaowen Chu, Hong Kong Baptist University Dong Dai, UNC Charlotte Sheng Di, ANL Pantelis Frangoudis, TU Wien Harshit Gupta, Georgia Institute of Technology Bingsheng He, National University of Singapore Qiang He, Department of Computing Technologies, Swinburne University of Technology Ligang He, The University of Warwick Shadi Ibrahim, Inria, Rennes Bretagne Atlantique Research Center Fuyuki Ishikawa, National Institute of Informatics Fabio Kon, University of SÃ£o Paulo Zhiling Lan, Illinois Institute of Technology Patrick P. C. Lee, The Chinese University of Hong Kong Hao Li, Hunan University Weifa Liang, The Australian National University Rui Mao, Shenzhen University Miguel Matos, IST, INESC-ID, U. Lisboa Thomas Pasquier, University of Bristol Thomas Rausch, Vienna University of Technology Xuanhua Shi, Huazhong University of Science and Technology Lauritz Thamsen, TU Berlin Demetris Trihinas, University of Nicosia Peter Troger, TU Chemnitz Monica Vitali, Politecnico di Milano Philipp Wiesner, Technische UniversitÃ¤t Berlin Jidong Zhai, Tsinghua University Feng Zhang, Renmin University of China Track 2: Programming models and runtime systems: VCs Taisuke Boku, University of Tsukuba, Japan Martin Schulz, Technical University of Munich, Germany PC members Paul Carpenter, Barcelona Supercomputing Center Sunita Chandrasekaran, University of Delaware Bronis de Supinski, Lawrence Livermore National Laboratory Matthew Dosanjh, Sandia National Laboratories Balazs Gerofi, The University of Tokyo Toshihiro Hanawa, The University of Tokyo Sven Karlsson, Technical University of Denmark Michael Klemm, AMD Seyong Lee, Oak Ridge National Laboratory Stefano Markidis, KTH Royal Institute of Technology Naoya Maruyama, NVIDIA Guillaume Mercier, ENSEIRB/INRIA Jose Moreira, IBM Dimitrios Nikolopoulos, Virginia Tech Mitsuhisa Sato, RIKEN AICS/ University of Tsukuba Shinji Sumimoto, Fujitsu Hiroyuki Takizawa, Tohoku University Miwako Tsuji, RIKEN AICS Track 3: Distributed middleware and network architectures: VCs Nectarios Koziris, National Technical University of Athens, Greece Hari Subramoni, Ohio State University, USA PC members Abhishek Chandra, University of Minnesota Alexandre da Silva Veith, University of Toronto Marios Dikaiakos, University of Cyprus Schahram Dustdar, Vienna University of Technology Dror Goldenberg Dorgival Guedes, UFMG Tanzima Islam, Texas State University Vana Kalogeraki, Athens University of Economics and Business Rajkumar Kettimuthu, Argonne National Lab and The University of Chicago Sebastien Rumley Yogesh Simmhan, Indian Institute of Science Christopher Stewart, The Ohio State University An Wang, Case Western Reserve University Ming Zhao, Arizona State University Track 4: Storage and I/O systems: VCs Suren Byna, Lawrence Berkeley National Laboratory, USA Maria S. Perez, Universidad Politecnica de Madrid, Spain PC members Gabriel Antoniu, INRIA Jean Luca Bez, Lawrence Berkeley National Laboratory Jesus Carretero, Universidad Carlos III de Madrid Dong Dai, UNC Charlotte Anthony Kougkas, Illinois Institute of Technology Xiaoyi Lu, University of California, Merced Preeti Malakar, Indian Institute of Technology Kanpur Manolis Marazakis, Instutute of Computer Science, FORTH Osamu Tatebe, University of Tsukuba Bing Xie, Oak Ridge National Lab Track 5: Security, privacy, trust and resilience: VCs Erman Ayday, Case Western Reserve University, USA Richard Sinnott, U. Melbourne, Australia PC members Sharif Abuadbba, data61, CSIRO Nour Almadhoun Alserr, ETH ZÃ¼rich Chris Bayliss, The University of Melbourne Raj Buyya, The University of Melbourne Seyit Camtepe, data61, CSIRO David Chadwick, Crossword Cybersecurity Shiping Chen, data61, CSIRO Shaanan Cohney, The University of Melbourne Anisa Halimi Tianxi Ji, Case Western Reserve Univeristy Christopher Leckie, The University of Melbourne Yang Lu, University of Kent Toby Murray, The University of Melbourne Yao Pan, The University of Melbourne Anthony Stell, The University of Melbourne Shuo Wang, data61, CSIRO Emre Yilmaz, University of Houston-Downtown Haiyang Yu, Beijing University of Technology Xuyun Zhang, Macquarie University Xiaojie Zhu Track 6: Performance modeling, scheduling, and analysis: VCs Sameer Shende, University of Oregon, USA Ana Lucia Varbanescu, University of Amsterdam, Netherlands PC members Jean-Baptiste Besnard, ParaTools SAS Mihai Capota, Intel Nicholas Chaimov, University of Oregon Jan Eitzinger, Regional Computing Center Erlangen Markus Geimer, Juelich Supercomputing Centre Carlos Guerrero, Universitat de les Illes Balears Jeff Hammond, Intel Simon Hammond, Sandia National Laboratories Alexandru Iosup, VU Tanzima Islam, Texas State University John Linford, Arm Artur Podobas, KTH Royal Institute of Technology Nathan Tallent, Pacific Northwest National Laboratory Alexandru Uta, Leiden University Nikolay Yakovets, Eindhoven University of Technology Track 7: Sustainable and green computing: VCs Young Choon Lee, Macquarie U., Australia Wu Feng, Virginia Tech, USA PC members Vignesh Adhinarayanan, AMD Research Woongki Baek, UNIST Rong Ge, Clemson University Ahmed Helal, Intel Dongyoon Lee, Stony Brook University Anne-CÃ©cile Orgerie, CNRS Chen Wang, CSIRO Andrew Younge, Sandia National Laboratories Dong Yuan, The University of Sydney Track 8: Scientific and industrial applications: VCs Vipin Chaudhary, Case Western Reserve University, USA Dana Petcu, West University of Timisoara, Romania PC members Danilo Ardagna, Politecnico di Milano Maria Carla Calzarossa, Universita di Pavia Pawel Czarnul, Dept. of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology Ciprian Dobre, University Politehnica of Bucharest Umberto Ferraro Petrillo, Dipartimento di Statistica, ProbabilitÃ e Statistiche Applicate, UniversitÃ di Roma "La Sapienza" Javier Garcia Blas, Carlos III University Alexandru Iosup, VU Alexey Lastovetsky, University College Dublin Ralf-Peter Mundani, University of Applied Sciences of the Grisons Leandro Navarro, Universitat PolitÃ¨cnica de Catalunya Guillaume Pierre, Univ Rennes, Inria, CNRS, IRISA Massimiliano Rak, University of Campania, Luigi Vanvitelli Laura Ricci, dipartimento di informatica, Univ. di Pisa Blesson Varghese, Queenâ€™s University Belfast Yinghui Wu, Case Western Reserve University Muhammad Younas, Oxford Brookes University Track 9: Artificial intelligence, Machine Learning and Deep Learning: VCs Manish Parashar, University of Utah, USA Ashiq Anjum, University of Leicester, UK PC members Nitin Auluck, Indian Institute of Technology, Ropar Muhammad Ajmal Azad, University of Derby Luiz F. Bittencourt, University of Campinas Ivona Brandic, TU Vienna Beniamino Dimartino Trilce Estrada, University of New Mexico Dalibor Klusacek, CESNET, Brno, Czech Republic Antonio Liotta, Free University of Bozen-Bolzano, Italy Lu Liu, University of Leicester Richard McClatchey, University of the West of England Geyong Min, University of Exeter Dimitrios Nikolopoulos, Virginia Tech Oznur Ozkasap, Koc University Antonio J. Pena, Barcelona Supercomputing Center (BSC) Arvind Ramanathan, Argonne National Laboratory Rizos Sakellariou, The University of Manchester Josef Spillner, Zurich University of Applied Sciences Rafael Tolosana-Calasanz, Universidad de Zaragoza Xinghui Zhao, Washington State University Rongbo Zhu, Huazhong Agricultural University PhD Symposium VCs Carlos A. Varela, Rensselaer Polytechnic Institute, USA George Pallis, University of Cyprus, Cyprus Jacopo Soldani, University of Pisa, Italy Poster VCs Joanna Kolodziej, NASK Warsaw and Cracow University of Technology, Poland Laurent Lefevre, INRIA, France CCGrid Steering Committee: ========================= Henri Bal, Vrije University, The Netherlands Pavan Balaji, Facebook/Argonne National Laboratory, USA (Co-Chair) Rajkumar Buyya, University of Melbourne, Australia (Chair) Franck Capello, Argonne National Laboratory, USA Jesus Carretero, Universidad Carlos III de Madrid, Spain Ewa Deelman, University of Southern California/ISI, USA Marios Dikaiakos, University of Cyprus, Cyprus Jack Dongarra, University of Tennessee & ORNL, USA Tarek El-Ghazawi, George Washington University, USA Dick Epema, Technical University of Delft, The Netherlands Thomas Fahringer, University of Innsbruck, Austria Ian Foster, University of Chicago, USA Wolfgang Gentzsch, UberCloud, Germany Hai Jin, Huazhong University of Science & Technology, China Craig Lee, The Aerospace Corporation, USA Young Choon Lee, Macquarie University, Australia Laurent Lefevre, INRIA, France Manish Parashar, The University of Utah, USA Shikharesh Majumdar, Carleton University, Canada Satoshi Matsuoaka, Tokyo Institute of Technology, Japan Dhabaleswar K Panda, The Ohio State University, USA George Pallis, University of Cyprus, Cyprus Stacy Patterson, Rensselaer Polytechnic Institute, USA. Omer Rana, Cardiff University, UK Paul Roe, Queensland University of Technology, Australia Bruno Schulze, LNCC, Brazil Yogesh Simmhan, Indian Institute of Science, India Xian-He Sun, Illinois Institute of Technology, USA Nalini Venkatasubramanian, University of California, USA Carlos Varela, Rensselaer Polytechnic Institute, USA. Massimo Villari, University of Messina, Italy Cho-Li Wang, University of Hong Kong, China Cheng-Zhong Xu, University of Macau, China Past Members: George Mohay, Queensland University of Technology, Australia Charlie Catlett, Argonne National Laboratory, USA Satoshi Sekiguchi, AIST, Japan Alexander Reinefeld, Konrad-Zuse-Zentrum, Germany Sven Graupner, HP Labs, USA Mark Baker, University of Reading, United Kingdom David Walker, University of Wales, Cardiff, United Kingdom Stephen Turner, Nanyang Technological University, Singapore Geng Lin, Dell Inc., USA ----------------------------------------------------------------------------

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CFP PDSEC-22 Workshop -- held in conjunction with IPDPS22
by Shontz, Suzanne Michelle 06 Dec '21

06 Dec '21

(apologies for cross-postings) The 23nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-22) (http://www.ieee-tcsc.org/2022/pdsec/) will be held on May 30, 2022 in Lyon, France in conjunction with IPDPS 2022. Deadline: PDSEC-22 deadline: 21 Jan 2022 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to themanagement of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. Important Dates: Paper submission due . . . . . . . . . . . . . . January 21, 2022 Notification of Acceptance . . . . . . . . . . . March 4, 2022 Final camera-ready paper . . . . . . . . . . . . March 15, 2022 Workshop . . . . . . . . . . . . . . . . . . . . May 30, 2022 General Chairs Sabine Roller, University of Siegen, Germany Peter Strazdins, The Australian National University, Australia Program Chairs Raphael Couturier, University of Bourgogne Franche-Comte, France Neda Ebrahimi Pour, University of Siegen, Germany Publicity Chair Suzanne Shontz, University of Kansas, USA Steering Committee Laurence T. Yang (Chair), St. Francis Xavier University, Canada Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Web Chair Jiawei Wang, St. Francis Xavier University, Canada

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