JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication

Achieving high performance for Sparse Matrix-Matrix Multiplication (SpMM) has received increasing research attention, especially on multi-core CPUs, due to the large input data size in applications such as graph neural networks (GNNs). Most existing solutions for SpMM computation follow the ahead-of...

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Vydané v:	Proceedings / International Symposium on Code Generation and Optimization s. 448 - 459
Hlavní autori:	Fu, Qiang, Rolinger, Thomas B., Huang, H. Howie
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 02.03.2024
Predmet:	Codes Just-in-Time Instruction Generation Optimization Performance evaluation Performance Optimization Performance Profiling Registers Runtime Sparse matrices SpMM Throughput
ISSN:	2643-2838
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