ZAKI: A Smart Method and Tool for Automatic Performance Optimization of Parallel SpMV Computations on Distributed Memory Machines

SpMV is a vital computing operation of many scientific, engineering, economic and social applications, increasingly being used to develop timely intelligence for the design and management of smart societies. Several factors affect the performance of SpMV computations, such as matrix characteristics,...

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Vydáno v:	Mobile networks and applications Ročník 28; číslo 2; s. 744 - 763
Hlavní autoři:	Usman, Sardar, Mehmood, Rashid, Katib, Iyad, Albeshri, Aiiad, Altowaijri, Saleh M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.04.2023 Springer Nature B.V
Témata:	Artificial intelligence Communications Engineering Computational fluid dynamics Computer Communication Networks Computer vision Computing costs Datasets Decision trees Distributed memory Domains Electrical Engineering Engineering IT in Business Machine learning Microprocessors Networks Optimization Optimization techniques Robotics Smart cities Software Sparse matrices Sparsity Distributed memory Parallel computing Machine learning MPI Random forest Sparse matrix vector product (SpMV) Decision trees Sparse linear equation systems Gradient boosting
ISSN:	1383-469X, 1572-8153
On-line přístup:	Získat plný text
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