Results 21 to 30 of about 8,251,462 (363)
The Journal of Supercomputing, 1995 Distributed systems are an alternative to shared-memory multiprocessors for the execution of parallel applications.Panda is a run-time system that provides architectural support for efficient parallel and distributed programming. It supplies fast user-level threads and a means for transparent and coordinated sharing of objects across a homogeneous ...
Assenmacher, Holger +5 more
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Effective Parallel Computing via a Free Stale Synchronous Parallel Strategy
IEEE Access, 2019 As the data becomes bigger and more complex, people tend to process it in a distributed system implemented on clusters. Due to the power consumption, cost, and differentiated price-performance, the clusters are evolving into the system with heterogeneous
Hang Shi +4 more
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A Tag-Based Solution for Safer Parallel STL Usage
Acta Electrotechnica et Informatica, 2023 The continuous evolution of programming languages creates a challenge not only for the compiler implementers but also for the regular developers. The C++17 standard introduced the Parallel STL library, a parallel extension of the original and fundamental
Barth Benjámin +2 more
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Ukrainian Journal of Educational Studies and Information Technology, 2023 There is a growing demand for software developers who have experience writing parallel programs rather than just "parallelizing" sequential systems as computer hardware gets more and more parallel.
Yuriy Sitsylitsyn
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Visual Parallel Programming as PaaS cloud service with Graph-Symbolic Programming Technology
Труды Института системного программирования РАН, 2018 In this paper we present the visual approach to parallel programming provided by Graph-Symbolic Programming Technology. The basics of this technology are described as well as advantages and disadvantages of visual parallel programming.
Darya Egorova, Victor Zhidchenko
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SkelCL: enhancing OpenCL for high-level programming of multi-GPU systems [PDF]
, 2013 Application development for modern high-performance systems with Graphics Processing Units (GPUs) currently relies on low-level programming approaches like CUDA and OpenCL, which leads to complex, lengthy and error-prone programs.
Gorlatch, Sergei, Steuwer, Michel
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The template programming of parallel algorithms
Mathematical Modelling and Analysis, 2002 The parallel programming tools and packages are evolving rapidly. However the complexity of parallel thinking does not allow to implement many algorithms for the end user.
M. Baravykaite, R. Šablinskas
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Asynchronous Execution of Python Code on Task Based Runtime Systems [PDF]
, 2018 Despite advancements in the areas of parallel and distributed computing, the complexity of programming on High Performance Computing (HPC) resources has deterred many domain experts, especially in the areas of machine learning and artificial intelligence
Amini, Parsa +11 more
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PList-based Divide and Conquer Parallel Programming [PDF]
Journal of Communications Software and Systems, 2020 This paper details an extension of a Java parallel programming framework – JPLF. The JPLF framework is a programming framework that helps programmers build parallel programs using existing building blocks.
Virginia Niculescu +2 more
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Dynamic programming for multi-view disparity/depth estimation [PDF]
, 2006 novel algorithm for disparity/depth estimation from multi-view images is presented. A dynamic programming approach with window-based correlation and a novel cost function is proposed..
Anantrasirichai, N +3 more
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