Sparstition: A Partitioning Scheme for Large-Scale Sparse Matrix Vector Multiplication on FPGA-Reference-Cited by-同舟云学术

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Sparstition: A Partitioning Scheme for Large-Scale Sparse Matrix Vector Multiplication on FPGA

Published:2019-07 Issue: Volume: Page:
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Container-title:2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
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Author:

Sigurbergsson Bjorn,Hogervorst Tom,Qiu Tong Dong,Nane Razvan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8812310/8824995/08825125.pdf?arnumber=8825125

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel Machine Learning Approach for High-Precision Brain Tumor Detection from MRI Images;2023 International Conference on Engineering and Emerging Technologies (ICEET);2023-10-27

2. Spica: Exploring FPGA Optimizations to Enable an Efficient SpMV Implementation for Computations at Edge;2023 IEEE International Conference on Edge Computing and Communications (EDGE);2023-07

3. Toward Energy-Efficient Sparse Matrix-Vector Multiplication with near STT-MRAM Computing Architecture;Proceedings of the 28th Asia and South Pacific Design Automation Conference;2023-01-16

4. Multi-Mode SpMV Accelerator for Transprecision PageRank With Real-World Graphs;IEEE Access;2023

5. Hardware Acceleration of High-Performance Computational Flow Dynamics Using High-Bandwidth Memory-Enabled Field-Programmable Gate Arrays;ACM Transactions on Reconfigurable Technology and Systems;2022-06-30

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