computational.science December 2021

computational.science@lists.iccsa.org

7 participants
7 discussions

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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CfP - Ada Developer Room at FOSDEM 2022, online
by Dirk.Craeynest＠cs.kuleuven.be 05 Dec '21

05 Dec '21

----------------------------------------------------------------------- Call for Presentations 11th Ada Developer Room at FOSDEM 2022 Sunday 6 February 2022, Online, Everywhere www.cs.kuleuven.be/~dirk/ada-belgium/events/22/220206-fosdem.html Organized in cooperation with Ada-Belgium and Ada-Europe ----------------------------------------------------------------------- The Ada FOSDEM community is pleased to announce the 11th edition of the Ada DevRoom! This time, however, it will take place online on the 6th of February. This edition of the Ada DevRoom is organized in cooperation with Ada-Belgium [1] and Ada-Europe [2]. General Information about FOSDEM -------------------------------- FOSDEM [3], the Free and Open source Software Developers' European Meeting, is a free and non-commercial two-day weekend event organized early each year in Brussels, Belgium. This year, for obvious reasons, it has been turned into an online event, just like last year. It is highly developer-oriented and brings together 8000+ participants from all over the world. No registration is necessary. The goal is to provide open source developers and communities a place to meet with other developers and projects, to be informed about the latest developments in the open source world, to attend interesting talks and presentations on various topics by open source project leaders and committers, and to promote the development and the benefits of open source solutions. Ada Programming Language and Technology --------------------------------------- Awareness of safety and security issues in software systems is ever increasing. Multi-core platforms are now abundant. These are some of the reasons that the Ada programming language and technology attracts more and more attention, among others due to Ada's support for programming by contract and for multi-core targets. The latest Ada language definition was updated early 2016. Work on new features is ongoing, such as improved support for fine-grained parallelism, and will result in a new Ada standard scheduled for 2022. Ada-related technology such as SPARK provides a solution for the safety and security aspects stated above. More and more tools are available, many are open source, including for small and recent platforms. Interest in Ada keeps further increasing, also in the open source community, from which many exciting projects have been started. Ada Developer Room ------------------ FOSDEM is an ideal fit for an Ada Developer Room. On the one hand, it gives the general open source community an opportunity to see what is happening in the Ada community and how Ada can help to produce reliable and efficient open source software. On the other hand, it gives open source Ada projects an opportunity to present themselves, get feedback and ideas, and attract participants to their project and collaboration between projects. At previous FOSDEM events, the Ada-Belgium non-profit organization organized successful Ada Developer Rooms, offering a full day program in 2006 [4], a two-day program in 2009 [5], and full day programs in 2012-2016 [6-10], and in 2018-2020 [11-13]. An important goal is to present exciting Ada technology and projects, including people outside the traditional Ada community. This edition is no different, and since it will take place online, we hope to attract people from all over the world. Call for Presentations ---------------------- We would like to schedule technical presentations, tutorials, demos, live performances, project status reports, discussions, etc, in the Ada Developer Room. Do you have a talk you want to give? Do you have a project you would like to present? Would you like to get more people involved with your project? The Ada organizers call on you to: - discuss and help organize the details, subscribe to the Ada-FOSDEM mailing list [14]; - for bonus points, be a speaker: the Ada-FOSDEM mailing list is the place to be! - don't hesitate to propose a topic that you would like to present to the community, we are eager to know what you have in store for us! We're inviting proposals that are related to Ada software development, and include a technical oriented discussion. You're not limited to slide presentations, of course. Be creative. Propose something fun to share with people so they might feel some of your enthusiasm for Ada! Speaking slots should be 15 or 30 minutes, plus 5 or 10 minutes resp. for Q&A, if the same schedule as last year is followed. However, this schedule is flexible and can be modified for longer talks. For example, a long technical talk can be transformed into a 45 minutes talk, plus time for Q&A. Depending on interest, we might also have a session with lightning presentations (e.g. 5 minutes each), and/or an informal discussion session. Note that all talks will be streamed live (audio+video) and should be prerecorded. After the streaming of the talk, a live Q&A session will take place. By submitting a proposal, you agree to being recorded and streamed. You also agree that the contents of your talk will be published under the same license as all FOSDEM content, a Creative Commons (CC-BY) license. Submission Guidelines --------------------- Your proposal must be submitted to the FOSDEM Pentabarf system [15]. If you already had an account from previous years, please, reuse it. If, for whatever reason, you cannot use Pentabarf, you can also submit your proposal by messaging the Ada-FOSDEM mailing list [14]. If needed, feel free to contact us at the Ada-FOSDEM Mailing list or at <irvise (at) irvise.xyz> (without spaces). Please include: - your name, affiliation, contact info; - the title of your talk (be descriptive and creative); - a short descriptive and attractive abstract; - potentially pointers to more information; - a short bio and photo. See programs of previous Ada DevRooms (URLs below) for presentation examples, as well as for the kind of info we need. Here is the slightly flexible schedule that we will follow: - December 26, 2021: end of the submission period. Remember, we only need the information in the list above. You do not have to submit the entire talk by this date. Try to submit your proposal as early as possible. It is better to submit half of the details early than all late, so do not wait for the last minute. If you are a bit late, submit it to Pentabarf and message <irvise (at) irvise.xyz> directly. - December 31, 2021 - January 2, 2022: announcement of accepted talks. - January 15, 2022: your talk should be recorded and uploaded to the Pentabarf platform. - February 6, 2022: Ada-Devroom day! We look forward to lots of feedback and proposals! Regards, The Ada-FOSDEM team Main organiser: Fernando Oleo Blanco <irvise (at) irvise.xyz> Second in command: Ludovic Brenta <ludovic (at) ludovic-brenta.org> ----------------------------------------------------------------------- [1] http://www.cs.kuleuven.be/~dirk/ada-belgium [2] http://www.ada-europe.org [3] https://fosdem.org [4] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/06/060226-fosdem.html [5] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/09/090207-fosdem.html [6] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/12/120204-fosdem.html [7] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/13/130203-fosdem.html [8] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/14/140201-fosdem.html [9] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/15/150131-fosdem.html [10] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/16/160130-fosdem.html [11] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/18/180203-fosdem.html [12] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/19/190202-fosdem.html [13] http://www.cs.kuleuven.be/~dirk/ada-belgium/events/20/200201-fosdem.html [14] http://listserv.cc.kuleuven.be/archives/adafosdem.html [15] https://penta.fosdem.org/submission/FOSDEM22 -----------------------------------------------------------------------

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[CFP] ExSAIS 2022: Workshop on Extreme Scaling of AI for Science
by Tumeo, Antonino 04 Dec '21

04 Dec '21

[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 scientic discovery and the operation of scientic 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 scientic 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 scientic 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, scientic instruments, and security domains e.g., biology, chemistry, and material science. Specic 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. Specic 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. Specic 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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Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China
by Ioanna Koroni 03 Dec '21

03 Dec '21

Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China Position Description Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece. The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year. Position Location The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China Subject Areas Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics. Salary 1800~2200 EUR net per month. Application Deadline December 31st, 2022 Duration of the contract The duration of the contract is 24~36 months, and can be extended up to 48 months. Salary a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University. b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year. Note: The Living expenses in Kaifeng is relatively low. For instance, Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month. Requirements/Qualifications 1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields. 2. At the time of appointment, the applicants must be no more than 35 years old in age. 3. The applicants should have good publication records in the above-mentioned fields. About Aristotle University of Thessaloniki, Greece Artificial Intelligence and Information Analysis Lab ( <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded). The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications. It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics. Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021. Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision. Homepage: <https://aiia.csd.auth.gr/computer-vision-machine-learning/#people> https://aiia.csd.auth.gr/computer-vision-machine-learning/#people <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en About Henan University and KaiFeng, China Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see http://en.henu.edu.cn/. KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see https://en.wikipedia.org/wiki/Kaifeng. How to apply Applications are only accepted via Email. All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at pitas(a)csd.auth.gr <mailto:pitas@csd.auth.gr> and chongsheng.zhang(a)yahoo.com, with the email subject ''Postdoc application'': - 1. A cover letter - 2. Full CV and list of publications - 3. Two reference letters. If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email. -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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computational.science December 2021