Results 1 to 10 of about 661,672 (286)
Programming parallel computers [PDF]
Proceedings. 1988 International Conference on Computer Languages, 2003 This paper is from a keynote address to the IEEE International Conference on Computer Languages, October 9, 1988. Keynote addresses are expected to be provocative (and perhaps even entertaining), but not necessarily scholarly. The reader should be warned that this talk was prepared with these expectations in mind.Parallel computers offer the potential ...
openaire +2 more sources
Implicit in the development of parallel programming language using Visual Basic
Journal of Kufa for Mathematics and Computer, 2018 Several studies have been performed to investigate the benefits of parallel programming models, and compared the models with same language family.
Zainab fahad mhawes al-naseri
doaj +1 more source
Parallel programming software package GraphPlus Templet
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2011 The parallel programming automation software package named Graphplus templet is considered. Its design purposes, architecture, efficiency of applying for numerical modeling problems solutions, features against similar approaches are discussed.
Sergey V Vostokin +2 more
doaj +3 more sources
A Semantic Framework to Debug Parallel Lazy Functional Languages
Mathematics, 2020 It is not easy to debug lazy functional programs. The reason is that laziness and higher-order complicates basic debugging strategies. Although there exist several debuggers for sequential lazy languages, dealing with parallel languages is much harder ...
Alberto de la Encina +3 more
doaj +1 more source
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
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
core +3 more sources