May 2022
Intermediate to advanced
580 pages
18h 32m
English
book
Programming Massively Parallel Processors, 4th Edition
by Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj
Content preview from Programming Massively Parallel Processors, 4th Edition
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Chapter 14
Sparse matrix computation
Abstract
This chapter introduces the parallel sparse matrix-vector computation pattern. It starts with the basic concepts of sparse matrices, which are matrices in which most of the elements are zeros. It introduces the coordinate list format as a flexible representation that does not store zero matrix elements. It then introduces a kernel based on compressed sparse row data storage for sparse matrices. The ELL format with data padding is then introduced as a regularization technique for improved memory coalescing. Finally, the jagged diagonal storage format based on sorting is introduced to smooth out variation from one row to the next row, allowing further reduction of control divergence and padding overhead ...
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