Results 21 to 30 of about 21,441,590 (245)
Novel VLSI Architectures and Micro-Cell Libraries for Subscalar Computations
IEEE Access, 2022 Parallelism is the key to enhancing the throughput of computing structures. However, it is well established that the presence of data-flow dependencies adversely impacts the exploitation of such parallelism. This paper presents a case for a new computing
Kumar Sambhav Pandey, Hitesh Shrimali
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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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Distributed Machine Learning Using Data Parallelism on Mobile Platform
J. Mobile Multimedia, 2020 Machine learning has many challenges, and one of them is to deal with large datasets, because the size of them grows continuously year by year. One solution to this problem is data parallelism. This paper investigates the expansion of data parallelism to
M. Szabó
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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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Towards accelerating model parallelism in distributed deep learning systems.
PLoS ONE, 2023 Modern deep neural networks cannot be often trained on a single GPU due to large model size and large data size. Model parallelism splits a model for multiple GPUs, but making it scalable and seamless is challenging due to different information sharing ...
Hyeonseong Choi +3 more
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Applied Sciences, 2021 The rapid development of artificial intelligence technology has made deep neural networks (DNNs) widely used in various fields. DNNs have been continuously growing in order to improve the accuracy and quality of the models.
Yingchi Mao +4 more
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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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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
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Modular design of data-parallel graph algorithms [PDF]
, 2013 Amorphous Data Parallelism has proven to be a suitable vehicle for implementing concurrent graph algorithms effectively on multi-core architectures.
Christianson, B. +2 more
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Relating data—parallelism and (and—) parallelism in logic programs [PDF]
, 1996 Much work has been done in the áreas of and-parallelism and data parallelism in Logic Programs. Such work has proceeded to a certain extent in an independent fashion. Both types of parallelism offer advantages and disadvantages.
Ali +62 more
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