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Showing 1-20 of 1,406 results
  1. High-Efficiency Specialized Support for Dense Linear Algebra Arithmetic in LuNA System

    Automatic synthesis of efficient scientific parallel programs for supercomputers is in general a complex problem of system parallel programming....
    Nikolay Belyaev, Vladislav Perepelkin in Parallel Computing Technologies
    Conference paper 2021
  2. Expanding the Cellular Automata Topologies Library for Parallel Implementation of Synchronous Cellular Automata

    The paper discusses the implementation of cellular automata on supercomputers. It outlines the requirements for the software: ease of program...
    Yuri Medvedev, Sergey Kireev, Yulia Trubitsyna in Parallel Computing Technologies
    Conference paper 2023
  3. Comparative analysis of soft-error sensitivity in LU decomposition algorithms on diverse GPUs

    Graphics processing units (GPUs) have become integral to embedded systems and supercomputing centres due to their large memory, cutting-edge...

    German Leon, Jose M. Badia, ... Luis Entrena in The Journal of Supercomputing
    Article Open access 22 February 2024
  4. Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

    This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a...

    Zoran Babović, Branislav Bajat, ... Stan Zak in Journal of Big Data
    Article Open access 22 May 2023
  5. From Monitors to Monitors: A Primitive History

    As computers became multi-component systems in the 1950s, handling the speed differentials efficiently was identified as a major challenge. The...

    Troy K. Astarte in Minds and Machines
    Article Open access 05 April 2023
  6. Trace-Based Optimization of Fragmented Programs Execution in LuNA System

    Automatic construction of high performance distributed numerical simulation programs is used to reduce complexity of distributed parallel programs...
    Victor Malyshkin, Vladislav Perepelkin in Parallel Computing Technologies
    Conference paper 2021
  7. The MPI Technology

    A significant number of modern multiple-processor computer systems belong to the class of multicomputers. This type of system is characterized by...
    Sergei Kurgalin, Sergei Borzunov in A Practical Approach to High-Performance Computing
    Chapter 2019
  8. Parallelization of the Array Method Using OpenMP

    Shared memory programming and distributed memory programming, are the most prominent ways of parallelize applications requiring high processing times...
    Apolinar Velarde Martínez in Advances in Soft Computing
    Conference paper 2021
  9. Concurrent Programming

    We now consider a subject that is substantially different from those seen in the previous chapters. Up to now, we have considered sequential...
    Maurizio Gabbrielli, Simone Martini in Programming Languages: Principles and Paradigms
    Chapter 2023
  10. Classification of Computing System Architectures

    The development of programs for multiprocessor computing systems, also referred to as parallel programming, has been attracting more and more...
    Sergei Kurgalin, Sergei Borzunov in A Practical Approach to High-Performance Computing
    Chapter 2019
  11. Topologies of Computer Networks

    Computer systems that use many simultaneously operating processors can be built based on data transmission networks, also referred to as...
    Sergei Kurgalin, Sergei Borzunov in A Practical Approach to High-Performance Computing
    Chapter 2019
  12. XcalableMP Programming Model and Language

    XcalableMP (XMP) is a directive-based language extension of Fortran and C for distributed-memory parallel computers, and can be classified as a...
    Hitoshi Murai, Masahiro Nakao, Mitsuhisa Sato in XcalableMP PGAS Programming Language
    Chapter Open access 2021
  13. Parallel Algorithms

    A chapter is dedicated to parallel algorithms. Multiprocessor computing systems are extensively used at present for solving tasks on mathematical and...
    Sergei Kurgalin, Sergei Borzunov in The Discrete Math Workbook
    Chapter 2020
  14. Think big, start small: a good initiative to design green query optimizers

    Recently scientists, politicians, students, associations and actors are sounded the alarm to save our planet. The slogan of Greta Thunberg “Our house...

    Simon Pierre Dembele, Ladjel Bellatreche, ... Amine Roukh in Cluster Computing
    Article 30 October 2019
  15. Parallel Computer Architecture

    The possibility for a parallel execution of computations strongly depends on the architecture of the execution platform, which determines how...
    Thomas Rauber, Gudula Rünger in Parallel Programming
    Chapter 2023
  16. Implementation of a 3D model heat equation using fragmented programming technology

    Development of efficient numerical programs for large distributed parallel computers is a challenging problem. Many programming languages, systems...

    Darkhan Akhmed-Zaki, Danil Lebedev, Vladislav Perepelkin in The Journal of Supercomputing
    Article 30 November 2018
  17. ScrimpCo: scalable matrix profile on commodity heterogeneous processors

    The discovery of time series motifs and discords is considered a paramount and challenging problem regarding time series analysis. In this work, we...

    Jose C. Romero, Antonio Vilches, ... Rafael Asenjo in The Journal of Supercomputing
    Article 19 February 2020
  18. An FPGA Implementation of a Distributed Virtual Machine

    An expression in a functional programming language can be compiled into a massively redundant, spatially distributed, concurrent computation called a...
    Lee A. Jensen, Lance R. Williams in Unconventional Computation and Natural Computation
    Conference paper 2018
  19. Scalable distributed data allocation in LuNA fragmented programming system

    The paper presents a scalable distributed algorithm for static and dynamic data allocation in LuNA fragmented programming system. LuNA is intended...

    Victor Malyshkin, Vladislav Perepelkin, Georgy Schukin in The Journal of Supercomputing
    Article 23 June 2016
  20. Automated GPU Support in LuNA Fragmented Programming System

    The paper is devoted to the problem of reduction of complexity of development of numerical parallel programs for distributed memory computers with...
    Belyaev Nikolay, Vladislav Perepelkin in Parallel Computing Technologies
    Conference paper 2017
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