arXiv Open Access 2017

Sparse Matrix Multiplication on CAM Based Accelerator

Leonid Yavits Ran Ginosar

Lihat Sumber

Abstrak

Sparse matrix multiplication is an important component of linear algebra computations. In this paper, an architecture based on Content Addressable Memory (CAM) and Resistive Content Addressable Memory (ReCAM) is proposed for accelerating sparse matrix by sparse vector and matrix multiplication in CSR format. Using functional simulation, we show that the proposed ReCAM-based accelerator exhibits two orders of magnitude higher power efficiency as compared to existing sparse matrix-vector multiplication implementations.

Topik & Kata Kunci

cs.AR

Penulis (2)

Leonid Yavits

Ran Ginosar

Format Sitasi

APA MLA BibTeX

Yavits, L., Ginosar, R. (2017). Sparse Matrix Multiplication on CAM Based Accelerator. https://arxiv.org/abs/1705.09937

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓