computational.science August 2023

computational.science@lists.iccsa.org

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2024 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab
by Esmond G. Ng 23 Sep '23

23 Sep '23

Berkeley Lab is now accepting applications for the 2024 Luis W. Alvarez Postdoctoral Fellowship and the 2024 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, data science, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2021 and no later than September 30, 2024) 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, data science, 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; developing and advancing extreme-scale scientific data management, analysis, and visualization; developing and advancing next-generation machine learning, AI, and data science approaches for science; advancing quantum computing and networking technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies; researching methods to control and manage next-generation networks; and managing scientific data and workflows in distributed environments Application Process: For consideration applications are due October 2, 2023. Details of the application process can be found by search for job 99672 at https://jobs.lbl.gov/.

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CFP - IEEE HPCC2023 (High Performance Computing and Communications), Dec. 2023
by Jesson Butt 07 Sep '23

07 Sep '23

Call for papers: The 25th IEEE International Conference on High Performance Computing and Communications (HPCC 2023), 13-15 Dec. 2023, Melbourne, Australia. Website: http://www.swinflow.org/confs/2023/hpcc/ Key dates: Submission Deadline: September 15, 2023 (HST, Firm) Notification: October 15, 2023 Final Manuscript Due: October 30, 2023 Submission site: http://www.swinflow.org/confs/2023/hpcc/submission.htm Publication: Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to special issues of selected journals listed on the conference website. =========== Introduction With the rapid growth in computing and communications technology, the past decade has witnessed a proliferation of powerful parallel and distributed systems and an ever increasing demand for practice of high performance computing and communications (HPCC). HPCC has moved into the mainstream of computing and has become a key technology in determining future research and development activities in many academic and industrial branches, especially when the solution of large and complex problems must cope with very tight timing schedules. Among a series of highly successful International Conferences on High Performance Computing and Communications (HPCC), HPCC conference comes to its 25th edition of a forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of high performance computing and communications. IEEE HPCC is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). Scope and Topics Topics of particular interest include, but are not limited to: Track 1: High Performance Computing and Applications - High Performance Computing Theory - High Performance Computing Architectures - System Software and Middleware - System Software Support for Scientific Workflows - Storage and I/O Systems - Resource Management - Instruction-Level and Thread-Level Parallelism - Performance Modeling and Evaluation - Massively Multicore Systems - Future Novel Computing Platforms - Database Applications and Data Mining - High Performance Computing for Bioinformatics - High Performance Computing for Big Data - High Performance Computing for AI - High Performance Computing for Block Chains - Green High Performance Computing Track 2: Parallel and Distributed Computing and Systems - Parallel and Distributed System Architectures - Parallel and Distributed Algorithms - Data Center Architectures - Resource Virtualization - Web Services and Internet Computing - Cloud, Edge, and Cluster Computing - Sustainable and Energy Efficient Computing - Federated Learning - Embedded Systems - Distributed Systems and Applications - Pervasive/Ubiquitous Computing & Intelligence - Distributed Graphics and VR/AR/MR Systems - Distributed AI and Soft/Natural Computing - Power-Efficient and Green Computing Systems - Parallel and Distributed Computing for Big Data - Parallel and Distributed Computing for AI Track 3: Communications and Networking - Network and Interconnect Architectures - Computer Networks - Internet Architectures and Protocols - Telecommunications - Trust, Security, and Privacy - Energy-Aware Computing and Networking - 5G Network - Software Defined Networking - Network Functions Virtualization - Machine Learning and Deep Learning - Social Networking and Computing - Performance Evaluation and Measurement Submission Guidelines Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, 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/2023/hpcc/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 invited to special issues of selected journals listed on the conference website. General Chairs Xian-He Sun, Illinois Institute of Technology, USA Beniamino Di Martino, Universita' della Campania "Luigi Vanvitelli", Italy Laurence T. Yang, St. Francis Xavier University, Canada Program Chairs Muneeb Hassan, Deakin University, Australia Carson Leung, University of Manitoba, Canada

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GandALF 2023: Registration is open – Call For Participation
by Gabriele Puppis 21 Aug '23

21 Aug '23

*[apologies for cross-postings]* * Registration is finally open for the Fourteenth International Symposium on Games, Automata, Logics, and Formal Verification (GandALF 23), to be held in Udine (Italy) on September 18-20, 2023. *** Early registration deadline is September 4, 2023 (Monday) *** We invite you to attend GandALF 2023. We will offer a very exciting technical and social program, which includes 15 contributed talks, 4 invited talks by renowned international theoretical computer scientists: - Weighted Automata At The Border Of Decidability by Laure Daviaud <https://www.city.ac.uk/about/people/academics/laure-daviaud> – University of East Anglia (UK),- Complexity Aspects Of Logics In Team Semantics by Juha Kontinen <https://researchportal.helsinki.fi/en/persons/juha-kontinen> – University of Helsinki (Finland),- Strategic Reasoning Under Imperfect Information – The Case Of Synchronous Recall by Sophie Pinchinat <https://people.irisa.fr/Sophie.Pinchinat/> – IRISA/University of Rennes (France),- The Church Synthesis Problem Over Continuous Time by Alexander Rabinovich <http://www.cs.tau.ac.il/~rabinoa> – Tel Aviv University (Israel), and an enchanting boat trip and dinner at a traditional Casone (check it out at https://gandalf23.uniud.it/excursion/ <https://gandalf23.uniud.it/excursion/>). To register to the conference, follow the instructions at https://gandalf23.uniud.it/registration/ <https://gandalf23.uniud.it/registration/>. For more details about GandALF 2023 and about how to organize your visit to Udine, check our webpage (https://gandalf23.uniud.it/ <https://gandalf23.uniud.it/>). The full program will be published soon. cheers Dario and Antonis (GandALF 23 PC co-chairs)*

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FGCS Special Issue on Scalable Compute Continuum
by Matteo Nardelli 07 Aug '23

07 Aug '23

(Our apologies if you received multiple copies of this CFP) ============================================== Future Generation Computer Systems Special Issue on Scalable Compute Continuum The full call for papers is available on the official FGCS website: https://www.sciencedirect.com/journal/future-generation-computer-systems/ab… ============================================== Motivation and Scope ======================= The “Compute Continuum” paradigm promises to manage the heterogeneity and dynamism of widespread computing resources, aiming to simplify the execution of distributed applications improving data locality, performance, availability, adaptability, energy management as well as other non-functional features. This is made possible by overcoming the fragmentation of IoT-edge-cloud resources and their segregation in tiers, enabling applications to be seamlessly executed and relocated along a continuum of resources spanning from the edge to the cloud. By distributing resources all around, the emerging Compute Continuum paradigm supports the execution of data-intensive applications as close as possible to data sources and end users. Besides consolidated vertical and horizontal scaling patterns, this paradigm also offers more detailed adaptation actions that strictly depend on the specific infrastructure components (e.g., to reduce energy consumption, or to exploit specific hardware such as GPUs and FPGAs). This enables the enhancement of latency-sensitive applications, the reduction of network bandwidth consumption, the improvement of privacy protection, and the development of novel services aimed at improving living, health, safety, and mobility. All of this should be achievable by application developers without having to worry about how and where the developed application components will be executed. Therefore, to unleash the true potential offered by the Compute Continuum, autonomous, proactive, and infrastructure-aware management is desirable, if not mandatory, calling for novel interdisciplinary approaches that exploit optimization theory, control theory, machine learning, and artificial intelligence methods. This special issue aims to investigate and gather research contributions on the emerging Compute Continuum, seeking solutions for running distributed applications while efficiently managing heterogeneous and widespread computing resources. Topics of interest include, but are not limited to, the following: - Scalable architectures and systems for the Compute Continuum; - System software for cloud-edge-IoT orchestration; - Distributed and decentralized management of resources and application deployment in the - Compute Continuum; - Programming models, languages and patterns for the Compute Continuum; - Compute Continuum performance modeling and analysis; - Compute Continuum as a service; - Energy-efficient solutions for sustainable Compute Continuum; - AI in the Compute Continuum; - Scalable applications for Compute Continuum (IoT, microservices, serverless); - Data-intensive and stream processing systems and applications in the Compute Continuum; - Digital Twins and industry applications in the Compute Continuum; - Prototypes and real-life experiments involving the Compute Continuum; - Benchmarks and experimental platforms for reproducible experiments in the Compute Continuum. Guest Editors ======================= Valeria Cardellini, University of Rome Tor Vergata, Italy. Patrizio Dazzi, University of Pisa, Italy. Gabriele Mencagli, University of Pisa, Italy. Matteo Nardelli, Bank of Italy, Italy. Massimo Torquati, University of Pisa, Italy. Important Dates ======================= Submission portal opens: May 1, 2023 Deadline for paper submission: November 3, 2023 Latest acceptance deadline for all papers: March 8, 2024 Manuscript Submission Instructions ======================= The FGCS’s submission system ( https://www.editorialmanager.com/FGCS/default.aspx) will be open for submissions to our Special Issue from May 1, 2023. When submitting your manuscript please select the article type VSI: SI_SCC_ScalCompContinuum. All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue. Looking forward to receiving your excellent submissions soon. Best regards, Valeria Cardellini, Patrizio Dazzi, Gabriele Mencagli, Matteo Nardelli, and Massimo Torquati

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computational.science August 2023