- computational.science - lists.iccsa.org

2023 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab
by Esmond G. Ng 10 Oct '22

10 Oct '22

Berkeley Lab is now accepting applications for the 2023 Luis W. Alvarez Postdoctoral Fellowship and the 2023 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2020 and no later than September 30, 2023) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of computer science, mathematics, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments. Application Process: For consideration applications are due October 24, 2022. Letters of Reference are due October 31, 2022. Details of the application process can be found by search for job 96569 at https://jobs.lbl.gov/.

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (Technical Achievement)
by Arne Wilston 08 Oct '22

08 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Technical Achievement) - 2022 The IEEE TCSC Award for Excellence (Technical Achievement) is awarded for significant and sustained contributions to the scalable computing community through the IEEE Technical Committee on Scalable Computing (TCSC), coupled with an outstanding record of high quality and high impact research. The award consists of a plaque and an honorarium of $1000. The past recipients of the IEEE TCSC award of excellence are: Jack Dongarra (University of Tennessee, USA) in 2008, Rajkumar Buyya (University of Melbourne, Australia) in 2009, William Gropp (University of Illinois at Urbana-Champaign, USA) in 2010, Albert Zomaya (University of Sydney, Australia) in 2011, David Abramson (Monash University, Australia) in 2012, Marc Snir (Argonne National Laboratory, USA) in 2013, Yves Robert (UMR CNRS, ENS Lyon, INRIA, France) in 2014, Ian Foster (University of Chicago and Argonne National Laboratory, USA) in 2015, Sartaj Sahni (University of Florida, USA) in 2016, Laurence T. Yang (St. Francis Xavier University, Canada) in 2017, Minyi Guo (Shanghai Jiaotong University) in 2018, Schahram Dustdar (TU Wien, Austria) in 2019, Jinjun Chen (Swinburne, Australia) in 2020, and Abdulmotaleb El Saddik (University of Ottawa, Canada) in 2021. Nominations: A candidate may be nominated by colleagues/TCSC members or may nominate him/her-self. An individual can nominate at most one candidate for this award. The candidate must be an IEEE, IEEE CS, and TCSC member in good standing. Nomination must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) should contain the following details: 1. Professional Employment Affiliations: List the nominee's current professional affiliations and titles. 2. Citation: Give a brief citation (thirty words or less) precisely stating the most salient reason(s) why the nominee is qualified for the award. 3. Technical Contributions: Describe the nominee's technical achievements in scalable computing as well as significance and impact. (Max 2-page length) 4. TCSC Contribution: Describe the candidate’s service and specific contributions to TCSC. (Max 2-page length) 5. Endorsers: Each nomination must be supported by letter from three at least endorsers. An endorser can endorse only one candidate for this award. The endorsers will be required to comment on the nominee's technical contributions as well as service contributions to the TCSC. The endorsement letters should be included in the nomination package. Important Dates: Nomination Deadline: 31 October 2022 Result Notification: 15 November 2022 Award Selection Committee: The award selection committee will consist of past winners, leaders in the field, as well as members of the TCSC Award Committee. Award Selection Committee: Laurence T. Yang (Chair), St. Francis Xavier University, Canada ( ltyang(a)ieee.org) Bernady O. Apduhan, Kyushu Sangyo University, Japan ( bob(a)is.kyusan-u.ac.jp) Jinjun Chen, Swinburne University of Technology, Australia ( jinjun.chen(a)gmail.com) Jamal Deen, McMaster University, Canada (jamal(a)mcmaster.ca) Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy (beniamino.dimartino(a)unicampania.it)

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (ECR)
by Arne Wilston 07 Oct '22

07 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Early Career Researchers) - 2022 The IEEE TCSC (Technical Committee on Scalable Computing) Award for Excellence (Early Career Researchers) recognizes individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of scalable computing. Typically the candidates are within 5 years of receiving their PhD degree as of January 01 of the year of the award. Nominations: A candidate may be nominated by members of the community.An individual may nominate at most one candidate for this award. Nomination must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) should contain the following details: 1. Name/email of person making the nomination (self-nominations are not eligible); 2. Name/email of candidate for whom the award is recommended; 3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE TCSC. 4. CV of the nominee; 5. Up three support letters from persons other than the nominator – these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees. Important Dates: Nomination Deadline: October 31, 2022 Results Notification: November 15, 2022 Award Selection Committee: Jinjun Chen (Chair), Swinburne University of Technology, Australia, jinjun.chen(a)gmail.com Bernady O. Apduhan, Kyushu Sangyo University, Japan, bob(a)is.kyusan-u.ac.jp Laurence T. Yang, St. Francis Xavier University, Canada, ltyang(a)stfx.ca Beniamino Di Martino, Universita' della Campania Luigi Vanvitelli, Italy, beniamino.dimartino(a)unina.it Didier El Baz, LAAS-CNRS, France, elbaz(a)laas.fr Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards for 2022 will be presented at a selected IEEE TCSC sponsored conference.

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Call for Nominations (CFN) - 2022 IEEE TCSC Award for Excellence (MCR)
by Arne Wilston 05 Oct '22

05 Oct '22

Call for Nominations (CFN) - IEEE TCSC Award for Excellence (Middle Career Researchers) - 2022 The IEEE Technical Committee on Scalable Computing (TCSC) is a technical committee within IEEE Computer Society, aimed at fostering research and education in scalable computing with applications. The committee solicits nominations of Middle Career Researcher (MCR) Award. The award includes an award plaque that will be presented at the annual IEEE HPCC conference, along with a public citation for the award on the IEEE TCSC website. IEEE TCSC Award for Excellence (Middle Career Researchers) recognizes individuals who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of scalable computing with applications. Typically the candidates are within 5 to 15 years of receiving their PhD degree as of January 01 of the year of the award. Nomination Materials: A candidate must be nominated by members of the community. Nominations must be submitted via email to the selection committee chair. A nomination application (as a single PDF file) must consist of the following materials: (1) Name/email of person making the nomination (self-nominations are not eligible) (2) Name/email of the nominee (3) A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE TCSC. (4) CV of the nominee (5) Up to three support letters from persons other than the nominator - these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees. Important Dates: Nomination Deadline: October 31, 2022 Results Notification: November 15, 2022 Award Selection Committee: Jinjun Chen (Chair), Swinburne University of Technology, Australia, jinjun.chen(a)gmail.com Bernady O. Apduhan, Kyushu Sangyo University, Japan, bob(a)is.kyusan-u.ac.jp Laurence T. Yang, St. Francis Xavier University, Canada, ltyang(a)stfx.ca Beniamino Di Martino, Universita' della Campania Luigi Vanvitelli, Italy, beniamino.dimartino(a)unina.it Didier El Baz, LAAS-CNRS, France, elbaz(a)laas.fr Award & Presentation Note: Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards for 2022 will be presented at a selected IEEE TCSC sponsored conference.

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Final CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022
by Jesson Butt 28 Sep '22

28 Sep '22

Final Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: October 7, 2022 (11:59pm UTC/GMT, extended, but firm) Notification: October 31, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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Job Openings: Research Assistant Professor in Computer Science (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 28 Sep '22

28 Sep '22

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. *Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23)* The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. 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 one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. *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 the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the 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 submission of the application may consider their applications unsuccessful. All application materials including publication samples, and 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 post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the positions are filled. URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 <https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832>*

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CFP: IEEE ISPA2022 (Parallel and Distributed Processing with Applications), Dec. 2022, Melbourne, Australia
by Jesson Butt 21 Sep '22

21 Sep '22

Call for papers: The 20th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/ispa/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/ispa/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction The IEEE ISPA 2022 (20th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). The IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2021 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA is sponsored by the IEEE Technical Committee on Scalable Computing (TCSC) and the IEEE Computer Society. IEEE ISPA is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks, in particular Software Defined networking and its applications. Scope and Topics (1) Systems and Architectures Track - Cloud computing and data center technology - Migration of computations - Multi-clouds environments, cloud federation, interoperability - Energy management and Green Computing - Wireless and mobile networks - Internet-Of-Things (IoT) - Social Networks, crowdsourcing, and P2P systems (2) Technologies and Tools Track - Building block processors: FPGA, multicore, GPU, NoC, SoC - Parallel and distributed algorithms - Tools/environments for parallel/distributed software development - Novel parallel programming paradigms - Programming models for cloud services and applications - Code generation and optimization - Compilers for parallel computers - Middleware and tools - Scheduling and resource management - Performance simulations, measurement, and evaluations - Reliability, fault tolerance, dependability, and security (3) Applications Track - High-performance scientific and engineering computing - Grid and cluster computing - Pervasive and ubiquitous computing - Databases, data mining, and data management - Big data and business analytics - Scientific cloud systems and services - Internet computing and web services - Application scenarios of IoT and ubiquitous computing - Experience with computational, workflow and data-intensive applications - Software Defined Networks and its applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: https://edas.info/N30045 Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. Honorary Chairs Albert Zomaya, The University of Sydney, Australia Hai Jin, Huazhong University of Science and Technology, China General Chairs Willy Susilo, University of Wollongong, Australia Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence Yang, St. Francis Xavier University, Canada Program Chairs Haipeng Dai, Nanjing University, China Rajiv Ranjan, Newcastle University, UK Massimo Cafaro, University of Salento, Lecce, Italy Workshop Chairs Rodrigo Calheiros, Western Sydney University, Australia Wei Zheng, Xiamen University, China

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CFP: The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
by Bahman Javadi 14 Sep '22

14 Sep '22

=================================== CCGRID 2023: CALL FOR PAPERS =================================== The 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ May 1-4, 2023, Bangalore, Indiahttps://ccgrid2023.iisc.ac.in ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The 23rd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023) 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 and Edge Computing for Internet of Things (IoT) and Big Data applications. The conference will feature keynotes, technical presentations, posters, workshops, student symposium, industry interactions, the SCALE Challenge, and the co-located ICFEC conference. ----------------------- Call for Papers ----------------------- 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: Hardware Systems and Networking (for Cluster, Cloud and Internet Computing) + Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge, Big Data platforms, distributed file systems, NoSQL databases, Data lakes, Data fabrics. + Sustainable and Green Computing: Environment-friendly computing ecosystems. Power, cooling and thermal awareness. + Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. Software-Defined Network-enabled Systems. Virtualized hardware: GPUs, tensor processing units, FPGAs and other accelerators. (*) Track 2: Software Systems and Platforms (for Cluster, Cloud and Internet Computing) + Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. + Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques. + Performance Modeling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. + Energy-efficient software/applications. Policies, methods, and tools for Energy-efficient computing. Energy-efficiency evaluation methods, metrics, and tools. Energy consumption models. (*) Track 3: ML for Systems, and Systems for ML + Techniques, platforms and systems for supporting Machine Learning and Artificial Intelligence applications. + Artificial Intelligence: Large Scale Machine Learning, AI frontend and backend systems, AI at the Edge and in the Cloud, cognitive computing, federated learning. + Machine learning/Deep Learning: statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation. + Use of Machine Learning and Artificial Intelligence applications to enhance the performance of cluster, cloud and Internet-computing systems. + ML/AI techniques for workload prediction, application scheduling, resource placement, resiliency, etc. in cluster, cloud and Internet-computing systems. (*) Track 4: Future Compute Continuum + Internet Computing Frontiers: Cloud, Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing, sensor data streaming and computation on the edges of the network, Backend as a Service (BaaS) + 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, Functions as a Service (FaaS), Software Defined Membranes. + Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. + Post- and Non-Von Neumann Computing: Neuromorphic computing; Quantum computing, Annealing-based quantum computing, hybrid quantum and classical computing; Approximate, probabilistic, and inexact computing; In-memory processing and memory-based computing; Emerging computing technologies, like analog computing, biologically-inspired computing, memristors. (*) Track 5: Applications and Translation + 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, AR/VR. + Autonomous systems: Role of cluster, cloud and Internet computing to support robotics, self-driving cars, autonomous aerial vehicles, etc. + Applications for 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. + Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks. + Enterprise applications for hybrid clouds, data regulatory and sovereignty concerns, data privacy, auditing and provenance. + AI Application domains: Social networks, healthcare, sustainability, transportation, commerce, neuroscience and cognitive science. ----------------------- Important Dates ----------------------- All deadlines are in Anywhere on Earth (AoE), UTC-12 timezone. + Abstracts: November 25th, 11:59pm + Full Paper: December 2nd, 2022, 11:59pm + Acceptance Notification: Jan 27th, 2023 + Camera Ready Papers: March 17th + Conference: May 1-4, 2023 ----------------------- Paper Submission ----------------------- + Authors are invited to submit papers electronically through the link to be posted shortly. + Page limits: Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures and tables using the IEEE format for conference proceedings. References are not included in the 10-page limit. + Author and reviewer anonymity: All submissions need to be double-blind. Authors should not reveal their identity in their submissions. All references to past work need to be in a third-party form (e.g., instead of saying "in our past work [26] we had done...", you can say "in [26], Chen et. al. had done..."). + Review criteria: 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 program 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. + When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages (excluding references) to address comments received from the reviewers. ----------------------- Best Paper Awards ----------------------- CCGrid will present Best Paper Awards to the top paper(s) selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact of the research work on the science and engineering, and the clarity of presentation. ----------------------- Conference Presentation ----------------------- Conference will be held in person, physically. At least one author of each accepted paper must present their work in-person at the conference. In case of exceptional circumstances such as COVID related restrictions, the option to present remotely will be provided. ----------------------- Conference Sponsorship ----------------------- The is expected to be co-sponsored by IEEE and ACM. Approvals are in progress. ----------------------- Code of Conduct ----------------------- CCGrid will act with responsibility as its primary consideration, with Equity, Diversity, and Inclusion as central goals. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and ACM Policy Against Harassment, and IEEE Computer Society's expectation of professional behavior found in the IEEE Computer Society Open Conference Statement, the IEEE Event Conduct and Safety Statement, and the IEEE Code of Ethics.

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PhD/PostDoc position in GeoComputing/HPC (m/f/x) at LMU Munich
by Marcus Mohr 09 Sep '22

09 Sep '22

======================================================================== Within the project "Multi-physics Simulation for Geodynamics on Heterogeneous Exa-scale Systems (CoMPS)" funded by the German Federal Ministry of Research we have an opening for a PhD/PostDoc in GeoComputing/HPC (m/f/x) The CoMPS project is a collaboration between the GeoComputing group at LMU Munich, the Chair of Informatics 10 (System Simulation) at Friedrich-Alexander-University Erlangen-Nuremberg, the Chair of Numerical Mathematics at TU Munich and the Leibniz Supercomputing Center. CoMPS continues our precursor project TerraNeo (https://terraneo.fau.de) and involves several hot topics in large scale computing, such as e.g. matrix-free iterative solvers, parallel coupling of Eulerian and Lagrangian models, mixed precision, and handling uncertainties. For further details please see: https://www.geophysik.uni-muenchen.de/en/news/open-positions/phd-postdoc-po… Regards Marcus Mohr ======================================================================== Dr.-Ing. Marcus Mohr @> Geophysics - Ludwig-Maximilians-Universitaet Muenchen /? e-mail ... Marcus.Mohr(a)lmu.de |\ Tel ...... +49 (89) 2180-4230 url ...... https://www.geophysik.uni-muenchen.de/~mohr ========================================================================

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CFP: IEEE BDCloud2022 (Big Data and Cloud Computing), Dec. 2022, Melbourne, AUS
by Jesson Butt 08 Sep '22

08 Sep '22

Call for papers: The 12th IEEE International Conference on Big Data and Cloud Computing (BDCloud2022), 17-19 Dec. 2022, Melbourne, Australia. Website: http://www.swinflow.org/confs/2022/bdcloud/ Key dates: Submission Deadline: September 25, 2022 (11:59pm UTC/GMT, firm) Notification: October 25, 2022 Final Manuscript Due: November 10, 2022 Submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publication: Proceedings will be published by IEEE CS Press. Special issues: Distinguished papers will be selected for special issues Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science =========== Introduction Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers (enterprises or individuals) can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures. As estimated by IDC, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. BDCloud (Big Data and Cloud Computing) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Big Data and Cloud Computing as well as their synergy. Scope and Topics Topics of particular interest include, but are not limited to: · Fundamentals of cloud computing · Architectural cloud models · Programming cloud models · Provisioning/pricing cloud models · Data storage and computation in cloud computing · Resource and large-scale job scheduling in cloud computing · Security, privacy, trust, risk in cloud and big data · Fault tolerance and reliability in cloud computing · Access control to cloud computing · Resource virtualisation · Monitoring and auditing in cloud · Scalable and elastic cloud services · Social computing and impacts on the cloud · Innovative HCI and touch-screen models and technologies to cloud · Mobile commerce, handheld commerce and e-markets on cloud · Intelligent/agent-based cloud computing · Migration of business applications to cloud · Energy efficient cloud architecture · Energy aware data storage and computation in cloud computing · Energy aware scheduling, monitoring, auditing in cloud · Green Cloud · Cloud use case studies · Big Data theory, applications and challenges · Big Data mining and analytics on Cloud · Big Data Infrastructure, MapReduce and Cloud Computing · Big Data visualization · Large data stream, incremental datasets on cloud · Distributed and federated datasets · NoSQL data stores and DB scalability · Big Data sharing, security, privacy and trust · Big Data placement, scheduling, and optimization · Distributed file systems for Big Data · Big Data processing, resource scheduling and SLA on Cloud · Performance characterization, evaluation and optimization · Simulation and debugging of Big Data systems · Volume, Velocity, Variety, Value and Veracity of Big Data · Storage and computation management of Big Data · Large-scale workflow management in Big Data · Data management and distributed data systems · Big data applications Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages (or up to 10 pages with over length charge), including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2022/bdcloud/submission.htm Publications Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be selected for special issues in Journal of Parallel and Distributed Computing, Concurrency and Computation: Practice and Experience, Journal of Computer and System Science. General Chairs Xuemin Lin, The University of New South Wales, Australia Geoffrey Fox, Indiana University, USA Yun Yang, Swinburne University of Technology, Australia Program Chairs Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Li Li, Monash University, Australia Lina Yao, University of New South Wales, Australia Workshop Chairs Jason Xue, Data61, Australia Ibrahim Khalil, RMIT, Australia

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