A scalable sparse matrix-vector multiplication kernel for energy-efficient sparse-blas on FPGAs-Reference-Cited by-同舟云学术

A scalable sparse matrix-vector multiplication kernel for energy-efficient sparse-blas on FPGAs

Published:2014-02-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2014 ACM/SIGDA international symposium on Field-programmable gate arrays
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Author:

Dorrance Richard¹,Ren Fengbo¹,Marković Dejan¹

Affiliation:

1. University of California, Los Angeles, Los Angeles, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2554688.2554785

Reference20 articles.

1. Towards a Universal FPGA Matrix-Vector Multiplication Architecture

2. An I/O Bandwidth-Sensitive Sparse Matrix-Vector Multiplication Engine on FPGAs

3. Understanding the Performance of Sparse Matrix-Vector Multiplication

4. J. Sun G. Peterson and O. Storaasli "Mapping Sparse Matrix-Vector Multiplication on FPGAs " Reconfigurable Systems Summer Institute (RSSI 2007) July 2007. J. Sun G. Peterson and O. Storaasli "Mapping Sparse Matrix-Vector Multiplication on FPGAs " Reconfigurable Systems Summer Institute (RSSI 2007) July 2007.

5. "Intel Math Kernel library." {Online}. Available: http://software.intel.com/en-us/intel-mkl "Intel Math Kernel library." {Online}. Available: http://software.intel.com/en-us/intel-mkl

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