Konferenzen  >  Informatik  >  Hochleistungsrechner, Parallelrechner

Association for Computing Machinery (ACM)

The 35th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA ’23) is sponsored by the ACM Special Interest Groups on Algorithms and Computation Theory (SIGACT) and Computer Architecture (SIGARCH) and organized in cooperation with the European Association for Theoretical Computer Science.  The conference will run from June 17th to June 19th, 2023. Workshops and tutorials will be on June 16th. SPAA 2023 will be held as part of ACM FCRC in Orlando, Florida.

SEIT Lab, Department of Computer Science, University of Cyprus

Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. We invite participants to submit original and unpublished works as posters and/or demos to the Euro-Par 2023 conference presenting the latest breakthroughs which have been developed in H2020, Horizon Europe, EuroHPC JU, national, regional and international R&D projects. Topics of interest should cover the conference scope and tracks (please visit the conference web site for more information about the topics covered by Euro-Par). The poster/demo sessions will provide an excellent opportunity for students and researchers to present early- stage research results and receive valuable feedback on their ongoing research from the community.

Tel.: [+35722892693];     Email: george@ucy.ac.cy

Edge/Cloud-Computing,    Wissenschaftliches Rechnen und Datenwissenschaft

Extreme computing plays a major role in our energy business. Looking across multiple industries, our business undoubtedly exploits the largest high-performance computing (HPC) capacity. Extreme computational simulations and data analytics enable high productivity by making better use of huge amounts of data. Although computational capability is accelerating, we have yet to see how extreme its effects are on pushing upstream to transform its business model. Therefore, algorithms, relating to big data, AI, IoT, HPC and cloud computing, performing and scaling as best as possible, on the latest computing platforms, will have a direct impact on many of the decisions reshaping our industry. The workshop will enable all participants to get acquainted with the very latest advances in HPC architectures and how these may be applied in geoscience applications used in the oil and gas industry and energy transition.

Petrochemie und Ölindustrie,    Wissenschaftliches Rechnen und Datenwissenschaft

Association for Computing Machinery (ACM)

Established in 1988, the annual SC conference has built a diverse community of participants including researchers, scientists, application developers, computing center staff and management, computing industry staff, agency program managers, journalists, and congressional staffers. This diversity is one of the conference's main strengths, making it a yearly "must attend" forum for stakeholders throughout the technical computing community. The technical program is the heart of SC. It has addressed virtually every area of scientific and engineering research, as well as technological development, innovation, and education. Its presentations, tutorials, panels, and discussion forums have included breakthroughs in many areas and inspired new and innovative areas of computing.

CEA, Alternative Energies and Atomic Energy Commission

In addition to promoting the advances in the traditional topics of the conference, encompassing super-computing for nuclear applications and Monte Carlo simulation, SNA + MC2024 will also emphasize novel subjects with strong scientific, technological and societal stakes: the recent breakthroughs in High Performance Computing, environmental issues and energy transition.

Kernenergie,    Wissenschaftliches Rechnen und Datenwissenschaft