CASK
Author:
Affiliation:
1. Imperial College London, London, United Kingdom
Funder
Engineering and Physical Sciences Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2847263.2847338
Reference17 articles.
1. Y. Saad Iterative Methods for Sparse Linear Systems. Society for Applied and Industrial Mathematics 2003. Y. Saad Iterative Methods for Sparse Linear Systems. Society for Applied and Industrial Mathematics 2003.
2. An efficient sparse conjugate gradient solver using a Beneš permutation network
3. EURECA
4. Reduce, Reuse, Recycle (R3): A design methodology for Sparse Matrix Vector Multiplication on reconfigurable platforms
5. A Sparse Matrix Personality for the Convey HC-1
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2. Efficient FPGA-Based Sparse Matrix–Vector Multiplication With Data Reuse-Aware Compression;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12
3. Modular and Lean Architecture with Elasticity for Sparse Matrix Vector Multiplication on FPGAs;2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2023-05
4. Programming Model;Software Defined Chips;2022-11-15
5. Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs;2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD);2021-11-01
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