Conferences and Meetings on High Performance Computing, Supercomputing, Parallel Computing

Institute of Information and Communication Technologies Bulgarian Academy of Sciences in cooperation with Sozopol municipality

Hierarchical, adaptive, domain decomposition and local refinement methods; Robust preconditioning algorithms; Monte Carlo methods and algorithms; Numerical linear algebra; Control systems; Parallel algorithms and performance analysis; Large-scale computations of environmental, biomedical and engineering problems.

Scientific Computing ,    Distributed, Edge and Cloud Computing

ACM

ACM International Conference on Supercomputing 2021

Call for papers

The ACM International Conference on Supercomputing (ICS) is the premier

international forum for the presentation of research results in

high-performance computing systems. The 35th conference (ICS-2021) will

be held virtually; Papers are solicited on all aspects of research,

development, and application of high-performance and supercomputing

systems, including, but not limited to:

    High performance computing

    Cloud computing

    Big data

    Machine learning

    Computer architecture

    Algorithms

    Languages and runtimes

    Performance

The review process will include a rebuttal period, and the papers will

be judged based on novelty, technical soundness, and potential impact

on the field.

Important dates

Abstract submission: January 28th, 2021 (firm deadline, no extension)

Paper submission: February 4th, 2021 (firm deadline, no extension)

Rebuttal period: March 16-18, 2021

Author notification: March 31st, 2021

All dates above are AOE (Anywhere on Earth).

For details, see

https://ics21.github.io

HPC, architecture, parallel computing

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.

Operational research,    Distributed, Edge and Cloud Computing

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.

PAAP 2021 will be organized by Xidian University.

Following the successful PAAP’08 in Hefei, PAAP’09 in Nanning, PAAP’10 in Dalian, and PAAP’11 in Tianjin, PAAP’12 in Taipei, PAAP’14 in Beijing, PAAP’15 in Nanjing, PAAP’17 in Haikou, PAAP’18 in Taiwan, PAAP’19 in Shenzhen, the 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP’21) will be held in Xi'an, China, December 10-12, 2021.

Phone: [+86-28-87555888];     Email: contactpco@qq.com

Architectures; Algorithms; Parallel Programming; High Performance Systems; Privacy and Security; Big Data Processing and Deep Learning;

Algorithms and Data Structues,    Software Engineering

The central aim of this conference is to explore multi-disciplinary research. It focuses on Quantum Computing and Quantum Simulations, Exa-scale Computing and its Applications, Metaheuristics in Science and Technology, Numerical Linear Algebraic Methods for Large Scale Scientific Computing, and Quantum Communications and Quantum Cryptography for Scientists, Researchers and Engineers. Its impact is already being felt in many areas of Sciences and Engineering disciplines. Current research in computational science requires multi-disciplinary knowledge, not only in sciences and engineering but also in technologies of computing. This conference offers academic researchers, developers and practitioners an opportunity to discuss various aspects of computational science and engineering related computational methods and problems solving techniques for science and engineering research.

The SIAM Conference on Parallel Processing for Scientific Computing is sponsored by the SIAM Activity Group on Supercomputing.