Results 31 to 40 of about 186,522 (338)
Exploiting path parallelism in logic programming [PDF]
, 1995 This paper presents a novel parallel implementation of Prolog. The system is based on Multipath, a novel execution model for Prolog that implements a partial breadth-first search of the SLD-tree.
González Colás, Antonio María +1 more
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An efficient algorithm for data parallelism based on stochastic optimization
Alexandria Engineering Journal, 2022 Deep neural network models can achieve greater performance in numerous machine learning tasks by raising the depth of the model and the amount of training data samples.
Khalid Abdulaziz Alnowibet +3 more
doaj +1 more source
Integrating parallelism and asynchrony for high-performance software development [PDF]
E3S Web of Conferences, 2023 This article delves into the crucial roles of parallelism and asynchrony in the development of high-performance software programs. It provides an insightful exploration into how these methodologies enhance computing systems' efficiency and performance ...
Zaripova Rimma +2 more
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SingleCaffe: An Efficient Framework for Deep Learning on a Single Node
IEEE Access, 2018 Deep learning (DL) is currently the most promising approach in complicated applications such as computer vision and natural language processing. It thrives with large neural networks and large datasets.
Chenxu Wang +5 more
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Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows
Моделирование и анализ информационных систем, 2020 A statically typed version of the data driven functional parallel computing model is proposed. It enables a representation of dynamically changing parallelism by means of asynchronous serial data flows.
Alexander I. Legalov +3 more
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SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics [PDF]
, 2017 We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as
Bohn, Andy +13 more
core +2 more sources
GPU Parallel Method for Deep Learning Image Classification [PDF]
Jisuanji gongcheng, 2023 This paper proposes an improved ring all-reduce algorithm with lower time complexity to improve the low efficiency of multiple Graphics Processing Unit(GPU) parallel transmission in deep-learning image classification scenes.This algorithm optimizes the ...
HAN Yanling, SHEN Siyang, XU Lijun, WANG Jing, ZHANG Yun, ZHOU Ruyan
doaj +1 more source
Parallelization and Locality Optimization for Red-Black Gauss-Seidel Stencil [PDF]
Jisuanji kexue, 2022 Stencil is a common cyclic nested computing model,which is widely used in many scientific and engineering simulation applications,such as computational electromagnetism,weather simulation,geophysics,ocean simulation and so on.With the deve-lopment of ...
JI Ying-rui, YUAN Liang, ZHANG Yun-quan
doaj +1 more source
Queue, 2008 Users always care about performance. Although often it’s just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.
openaire +2 more sources
A Parallelised ROOT for Future HEP Data Processing [PDF]
EPJ Web of Conferences, 2019 In the coming years, HEP data processing will need to exploit parallelism on present and future hardware resources to sustain the bandwidth requirements. As one of the cornerstones of the HEP software ecosystem, ROOT embraced an ambitious parallelisation
Piparo Danilo +6 more
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