Konferenzen zum Thema Hochleistungsrechner, Parallelrechner in den Vereinigten Staaten (USA)

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PDADS — The 1st International Workshop on Parallel and Distributed Algorithms for Decision Sciences
09. Aug 2021 • Chicago, Vereinigte Staaten
Co-hosted with the 50th International Conference on Parallel Processing (ICPP 2021)
Welcome to the First International Workshop on Parallel and Distributed Algorithms for Decision Sciences (PDADS), 2021. The goal of this workshop is to create a forum for scientists, engineers and practitioners to share new results and collaborate on ideas at the intersection of parallel and distributed algorithms, decision sciences and combinatorial optimization. There is a growing recognition that a variety of science and engineering use-cases can benefit from parallel and distributed optimization frameworks that can deliver real-time decision-making capabilities. Especially in this age of ever-increasing powerful computing technologies, optimization-driven decision science problems that were otherwise considered computationally prohibitive for integration within scientific and engineering applications, especially those needing real-time decision-making capabilities, are now becoming possible. This workshop will focus on the theory, design, development and deployment of parallel and distributed algorithms for faster and more accurate solutions of different types of optimization problems that arise within the broader purview of the decision sciences.
Event Organizers;     Email: pdads-chairs@email.ornl.gov
Parallel algorithms for integer/mixed-integer programming, linear/nonlinear programming, stochastic programming, robust optimization, combinatorial optimization, feasibility problems (SAT, CP, etc.), Parallel heuristic and meta-heuristic algorithms, Parallel evolutionary algorithms, swarm intelligence, ant colonies, other, Parallel local and complete search methods, Learning approaches for optimization in parallel and distributed environments, Parallel and distributed approaches for parameter tuning, simulation-based optimization, and black box optimization, Parallel algorithm portfolios, Quantum optimization algorithms, Use of randomization techniques for scalable decision support systems, Application of decision support systems on novel computing platforms (shared/distributed memory, edge devices, cloud platforms, field programable gate arrays, quantum computers, etc.), Use of parallel computing for timely and/or higher quality decision support * Theoretical analysis of convergence and/or complexity of parallel optimization algorithms and decision support systems.
ICPP — The International Conference on Parallel Processing
09. Aug 2021 - 12. Aug 2021 • Chicago, Vereinigte Staaten
The International Conference on Parallel Processing (ICPP) is one of the oldest continuously running computer science conferences in parallel computing in the world. It is a premier forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of the field. This year will be the 50th year of ICPP. ICPP2021 will be held at the US Argonne National Laboratory in Chicago, USA and special events will be held to celebrate the 50th anniversary at the conference. ICPP2021 is in cooperation with ACM SIGHPC. We invite everyone to participate in the conference and its celebration.
PP22 — SIAM Conference on Parallel Processing for Scientific Computing
23. Feb 2022 - 26. Feb 2022 • Hyatt Regency Seattle Seattle, Washington, Vereinigte Staaten
The SIAM Conference on Parallel Processing for Scientific Computing is sponsored by the SIAM Activity Group on Supercomputing.
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Stand vom 10. Mai 2021