Sparse Matrix-Dense Matrix Multiplication on Heterogeneous CPU+FPGA Embedded System-Reference-Cited by-同舟云学术

Sparse Matrix-Dense Matrix Multiplication on Heterogeneous CPU+FPGA Embedded System

Published:2020-01-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures / 9th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms
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Author:

Hosseinabady Mohammad¹,Nunez-Yanez Jose¹

Affiliation:

1. University of Bristol, Bristol

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Reference15 articles.

1. Implementing sparse matrix-vector multiplication on throughput-oriented processors

2. Model-driven autotuning of sparse matrix-vector multiply on GPUs

3. Tim Davis. 2019. SuiteSparse Matrix Collection. https://sparse.tamu.edu/ Tim Davis. 2019. SuiteSparse Matrix Collection. https://sparse.tamu.edu/

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

5. Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Intel Xeon Phi. In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 1389--1398 Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Intel Xeon Phi. In 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 1389--1398 A Elafrou G Goumas N Koziris 2017

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1. A Survey of Accelerating Parallel Sparse Linear Algebra;ACM Computing Surveys;2023-08-28

2. eSSpMV: An Embedded-FPGA-based Hardware Accelerator for Symmetric Sparse Matrix-Vector Multiplication;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

3. Bandwidth-Efficient Sparse Matrix Multiplier Architecture for Deep Neural Networks on FPGA;2021 IEEE 34th International System-on-Chip Conference (SOCC);2021-09-14