September 2023 - computational.science

PDP 2024 Special Session on High Performance Computing in Modelling and Simulation (HPCMS)
by William Spataro 24 Sep '23

24 Sep '23

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: 10th Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2024 (https://www.pdp2024.org/) The 32th Euromicro International Conference on Parallel, and Network-Based Computing Dublin (Ireland) 20-22 March 2023 https://www.pdp2022.org/ Deadline: October 31st, 2023 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our tenth edition which will take place in Dublin (Ireland). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 31 October 2023 Acceptance notification: 27 November 2023 Camera ready due: 16 January 2024 Conference: 20 - 22 March 2024 Submission guidelines Please contact spataro(a)unical.it for more information before submitting potential papers. Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. For submission, please use the following link and select the HPCMS session: https://easychair.org/conferences/?conf=pdp2024 and select the "High Performance Computing in Modelling and Simulation" track. Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. Organizers William Spataro - University of Calabria, Italy Giuseppe A. Trunfio - University of Sassari, Italy Donato D'Ambrosio, University of Calabria, Italy Rocco Rongo, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Program Committee Angelos Amanatiadis, Democritus University of Thrace, Greece Gladys Utrera, Universitat Politècnica de Catalunya. Barcelona, Spain Donato D’Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D’Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, Degiro, The Netherlands Massimo Cafaro, University of Salento, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.496464 Fax : +39.0984.493570 Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------------------------------------------ Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <https://www.unical.it/5x1000>

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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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[VHPC JSA SI] November 30th deadline: CfP Journal SI::Virtualization in High-Performance Cloud Computing (Elsevier JSA)
by Michael Alexander 12 Sep '23

12 Sep '23

following the 18th Workshop on Virtualization in High-Performance Cloud Computing” (VHPC), we would like to invite you to submit a paper to the Special Issue on Virtualization in High-Performance Cloud Computing Journal of Systems Architecture (JSA) Elsevier, a first quarter ranked Scientific Journal Ranking/CiteScore journal. Special Issue: Virtualization in High-Performance Cloud Computing Journal of Systems Architecture (JSA) Elsevier Submission deadline: November 30th, 2023 Accelerator Virtualization::we particularly welcome submissions on: *architectural propositions of specialized accelerator hardware for LLM **training and inference, with a keen focus on their virtualization.* *This includes, but is not limited to, systolic arrays utilized in matrix multiplication, similar to those in TPUs.* ---------------------------------------------------------------------------------------------------------------- Call for Papers Special Issue: Virtualization in High-Performance Cloud Computing Journal of Systems Architecture (JSA) Elsevier Submission deadline: November 30, 2023 ------------------------------------------------------------ ---------------------------------------------------- This JSA Special Issue solicits original, high-quality submissions related to topics of interest for the VHPC series of workshops, i.e., virtualization across the entire software stack with a special focus on the intersection of HPC, Containerization/Virtualization and Cloud/Edge Computing. Each topic encompasses aspects related to design/architecture, management, performance management, modeling and configuration/tooling: # Accelerator virtualization We particularly welcome submissions on architectural propositions of specialized accelerator hardware for LLM training and inference, with a keen focus on their virtualization. This includes, but is not limited to, systolic arrays utilized in matrix multiplication, similar to those in TPUs. # Design / Architecture: * Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter) * Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) * Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) * Use of Risc-V related technologies for cloud, virtualized and HPC use-cases * VM & Container trust and security models * Multi-environment coupling, system software supporting in-situ analysis with HPC * simulation * Cloud reliability, fault-tolerance and high-availability * Cloud-based quantum compute services * Energy-efficient and power-aware virtualization * Containers inside VMs with hypervisor isolation * Virtualization support for emerging memory and storage technologies * Lightweight/specialized operating systems in conjunction with virtual machines * Unikernels and use cases for virtualized HPC environments * Formal definition and verification of hypervisors and virtualization system properties * ARM-based hypervisors, ARM virtualization extensions # Management: * Container and VM management for HPC and Cloud/Edge environments * Virtualized/Cloudified instances to support Lambda / Function-as-a-Service (FaaS) Paradigms * HPC services integration, services to support HPC * Service and on-demand scheduling & resource management * Dedicated workload management with VMs or containers * Workflow coupling with VMs and containers * Unikernels and lightweight VM application management * Environments and tools for operating containerized environments (batch, orchestration) * Models for non-HPC workload provisioning on HPC resources # Performance Measurements and Modeling: * Performance improvements for or driven by unikernels * Optimizations of virtual machine monitor platforms and hypervisors * Scalability analysis of VMs and/or containers at large scale * Performance measurement, modeling and monitoring of virtualized/cloud workloads * Virtualization in supercomputing environments, HPC clusters, HPC in the cloud * Energy-efficient deployment of high-performance, ultra-low latency and real-time workloads in cloud infrastructures * Modeling, control and isolation of end-to-end performance for parallel & distributed Cloud/HPC applications, including the use of cloud functions / FaaS # Configuration / Tooling: * Tool support for unikernels: configuration/build environments, debuggers, profilers * Job scheduling/control/policy and container placement in virtualized environments * Measuring and controlling “OS/Virtualization noise” * Operating MPI in containers/VMs and Unikernels * GPU virtualization operationalization * Manuscript submission information: # Guest editors: Prof. Tommaso Cucinotta, Scuola Superiore Sant’Anna, Pisa, Italy Michael Alexander, Austrian Academy of Sciences Anastassios Nanos, Nubificus, Ltd., UK # Important Dates Submission Start Date: September 15, 2023 Submission deadline: November 30, 2023 Expected Acceptance Deadline (Subject to change): January 1, 2024 # Paper Submission JSA SI call at Elsevier: https://www.sciencedirect.com/journal/journal-of-systems-architecture/about… General information for submitting papers to JSA can be found at: https://www.elsevier.com/journals/journal-of-systems-architecture/1383-7621… Submissions should be made online at https://www.editorialmanager.com/jsa/ , select VHPC as article type. While optional, we highly recommend registering your abstract. Please email your abstract to vhpc.dist(a)gmail.com and use "JSASI" as your subject line. # URLs: * Feel free to follow the following X/Twitter resources on the HPC Virtualization SI, the VHPC workshop, in-context HPC updates: - VHPC Workshop X/Twitter <https://urldefense.com/v3/__https://twitter.com/VHPCworkshop__;!!P1tgJ-3e!A…> - Follow Link VHPC/HPC updates on X/Twitter <https://urldefense.com/v3/__https://twitter.com/intent/follow?screen_name=V…> - X/Twitter HPC Virtualization Community <https://twitter.com/i/communities/1700614991332688215> CfP pages: - VHPC Special Issue <https://vhpc.github.io/jsa_si/> - Journal of Systems Architecture Call for Papers <https://www.sciencedirect.com/journal/journal-of-systems-architecture/about…> * Abstract registration, paper submissions - Elsevier Submission Link <https://www.editorialmanager.com/jsa/> - Register HPC Virtualization Abstract Email <vhpc.dist(a)gmail.com?subject=JSASI> Kind regards, Tommaso Cucinotta, Michael Alexander, Anastassios Nanos

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OLA'2024@Dubrovnik Optimization & Learning Int. Conf.
by El-Ghazali Talbi 08 Sep '23

08 Sep '23

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2024 International Conference on Optimization and Learning 13-15 May 2024 Dubrovnic, Croatia http://ola2024.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2024 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2024 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 12 pages Important dates: =============== Paper submission extended deadline Dec 16, 2023 Notification of acceptance Feb 09, 2024 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2024 International Conference on Optimization and Learning (SCOPUS, Springer) Dubrovnik, Croatia, May 2024 https://ola2024.sciencesconf.org/ *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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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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CFP: Parallel Computational Technologies 2024 (Chelyabinsk, Russia, April 2-4, 2024)
by Цымблер Михаил Леонидов ич 06 Sep '23

06 Sep '23

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT 2024), 18th International Scientific Conference, April 2-4, 2024, Chelyabinsk, Russia http://agora.guru.ru/pavt/eng https://link.springer.com/conference/pct Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, and South Ural State University are jointly organizing the 18th International Scientific Conference on Parallel Computational Technologies (PCT 2024) to be held in Chelyabinsk, Russia, April 2-4, 2024. The main purpose of the PCT 2024 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Big data and data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT 2024 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website http://agora.guru.ru/pavt2024/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2024 by February 15, 2024. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers will be published (after further revision) in the Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru, indexed in Russian Science Citation Index on the Web of Science platform). IMPORTANT DATES * Submission of abstracts: December 1, 2023 * Submission of the papers: February 1, 2024 * Notification of acceptance: March 1, 2024 * Camera-ready version: April 15, 2024 * Registration for participation in supercomputer exhibition: March 1, 2024 * Registration of participants (non-speakers): March 25, 2024 * Conference: April 1, 2024: arrival date April 2-4, 2024: conference work dates April 5, 2024: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2024. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Yu.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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CFP: The 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2024)
by Bahman Javadi 02 Sep '23

02 Sep '23

The 24th IEEE/ACM International Symposium on Cluster, Cloud, and Internet Computing (CCGrid 2024) is a leading forum for disseminating and discussing 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, and the SCALE challenge featuring live demonstrations. We solicit original contributions in 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 research tracks: * Track 1: Hardware Systems and Networking: Sustainable and green computing; architecture, networking of data centers; virtualized hardware (GPUs, tensor processing units, FPGAs); RISC V / Open hardware architectures, etc. * Track 2: Software Systems and Platforms: Service-oriented architectures; utility computing models; IaaS, PaaS, SaaS; programming models and runtime systems; resource management and scheduling; and energy-efficient software. * Track 3: Machine Learning (ML) for Systems and Systems for ML: Techniques, platforms, and systems for supporting machine learning and artificial intelligence applications; use of ML/AI applications to enhance the performance of cluster, cloud and Internet-computing systems; ML/AI techniques for workload prediction; application scheduling, resource placement, resilience in cluster, cloud and Internet-computing systems. * Track 4: Future Compute Continuum and Seamless Ecosystems: Internet computing frontiers; future Internet; osmotic computing; cloud-economics; post- and Non-Von Neumann computing; quantum computing. * Track 5: Applications and Workflows: Data science; machine learning and artificial intelligence applications; cyber-physical systems; e-Health; Internet of Things (IoT)-enabled smart systems and applications; workflows. * Track 6: Performance Monitoring, Modeling, Analysis, and Benchmarking: Performance models; monitoring and evaluation tools; analysis of system/application performance; performance benchmarking; visualization for system or application performance; cloud performance; edge performance; and cloud-native performance tools. * Track 7: Distributed and Parallel Storage Systems: storage and memory stack architecture; distributed and parallel storage; HW/SW co-design for storage systems; NVM storage; cloud storage; edge storage; storage- and memory-as-a-service; file and data management; key-value stores; CDNs; data privacy, integrity, and regulation; resilience of service attacks. * Track 8: Education about Cluster, Cloud and Internet Computing: curriculum, didactics, and technology developments for cluster, cloud, and Internet-scale computing; virtual laboratory; teaching parallel and distributed systems; teaching performance; teaching cloud, cluster, and Internet-scale technologies; sharing digital learning objects; sharing lab experiments; reproducing educational experiments; teaching methodology in cluster, cloud and Internet computing. Paper Submission Authors are invited to submit papers electronically. 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. 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 determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the 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 available online through the IEEE and ACM Digital Libraries. Important Dates Papers Due (Abstract): November 27, 2023 Papers Due (Final): December 4, 2023 Notification of Acceptance: February 12, 2024 Camera Ready Papers Due: March 4, 2024 Conference: May 6-9, 2024 Program Committee Co-Chairs Alexandru Iosup, Vrije Universiteit Amsterdam, Netherlands Xubin He, Temple University, USA Beth Plale, Indiana University, USA

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Open PhD student position at KIT: Uncertainty quantification in multiscale materials modelling
by Kondov, Ivan (SCC) 01 Sep '23

01 Sep '23

Dear all, We are inviting applicants for the following open position (see below). With my best regards, Ivan Kondov PhD Position (3 years 75% salary level E13) Uncertainty quantification in multiscale materials modelling Courses: mathematics, physics, computational science, materials science Topic description Uncertainty quantification has been adopted for single-scale methods such as density functional theory (DFT), force field methods and coarse-grained modeling. These methods, although widely applied, are still no black-box methods. Their successful application still requires a very good knowledge of their strengths and shortcomings. Moreover, combining these methods raises the question about propagation of uncertainty across the time and length scales. Application 1 (in project P1 "Friction at solid--liquid interfaces") Quantities obtained from molecular dynamics (MD) simulations fluctuate naturally because of thermal effects. A key aspect of our continuum-coupling scheme will therefore be to disentangle thermal fluctuations from uncertainties. Methods for local and global sensitivity analysis have to be developed to determine and discriminate the errors caused by the MD simulations. This requires the development of a machine learning (ML) regression scheme that predicts amplitudes of thermal fluctuations, e.g. of the stress tensor, in addition to mean values as well as their respective uncertainties for active learning scenarios. With these amplitudes, the continuum solver will be extended to incorporate these fluctuations. This requires a reformulation of the height-averaged continuum equation, starting from fluctuating hydrodynamics. A key challenge here will be the analytical computation of statistical fluctuations of the averaged field that needs to fulfil some form of fluctuation-dissipation theorem. Application 2 (in project P3 "Single-site catalysis in porous materials") Reaction and diffusion rates, computed by either DFT or machine learning force fields (MLFF), contain uncertainties of various kinds that are propagated through the kinetic Monte Carlo (KMC) simulation. Especially when two or more KMC rates are produced using a common method and input data that may result in error cancellation or accumulation. The effects of such correlated uncertainties will be investigated using global sensitivity analysis. This will make possible to identify the critical uncertainties in the most influential rates determining the kinetic pathway. We will analyze the uncertainties affecting the predicted effect of confinement, as well as uncertainties arising from the DFT calculations. Requirements Knowledge or experience in at least one of these methodological fields will be an advantage for the candidate: mathematical modelling, machine learning / statistical modeling, and uncertainty quantification. Partners This thesis will be carried out in the framework of the interdisciplinary Research Training Group 2450 "Tailored Scale-Bridging Approaches to Computational Nanoscience" in close collaboration with partner PhD students within the training group. Contact Dr. Ivan Kondov Steinbuch Centre for Computing Karlsruhe Institute of Technology ivan.kondov(a)kit.edu

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