Configurable sparse matrix - matrix multiplication accelerator on FPGA: A systematic design space exploration approach with quantization effects

Configurable sparse matrix - matrix multiplication accelerator on FPGA: A systematic design space exploration approach with quantization effects

High-performance sparse matrix multipliers are essential for deep learning applications, and as big data analytics continues to evolve, specialized accelerators are also needed to efficiently handle sparse matrix operations. This paper proposes a modified, configurable, outer product based architect...

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Bibliographic Details
Main Authors: G. Noble, S. Nalesh, S. Kala, Akash Kumar
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Alexandria Engineering Journal
Subjects:
Accelerator
FPGA
Outer product
Sparse matrix multiplication
SpGEMM
Quantization
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824001145

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http://www.sciencedirect.com/science/article/pii/S1110016824001145

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