ZAKI+: A Machine Learning Based Process Mapping Tool for SpMV Computations on Distributed Memory Architectures

ZAKI+: A Machine Learning Based Process Mapping Tool for SpMV Computations on Distributed Memory Architectures

Smart cities and other cyber-physical systems (CPSs) rely on various scientific, engineering, business, and social applications that provide timely intelligence for their design, operations, and management. Many of these scientific and analytics applications require the solution of sparse linear equ...

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Bibliographic Details
Main Authors: Sardar Usman, Rashid Mehmood, Iyad Katib, Aiiad Albeshri
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cyber-physical systems
SpMV
sparse linear algebra
sparse matrices
machine learning
MPI
Online Access:https://ieeexplore.ieee.org/document/8737900/

Internet

https://ieeexplore.ieee.org/document/8737900/

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