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CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics

Siying Feng, Jiawen Sun, Subhankar Pal, Xin He, Kuba Kaszyk, Dong-hyeon Park, Magnus Morton, Trevor Mudge, Murray Cole, Michael O'Boyle, Chaitali Chakrabarti, Ronald Dreslinski
2021 2021 58th ACM/IEEE Design Automation Conference (DAC)  
In this work, we propose a novel framework, CoSPARSE, that employs hardware and software reconfiguration as a synergistic solution to accelerate SpMV-based graph analytics algorithms.  ...  CoSPARSE dynamically selects software and hardware configurations for each iteration and achieves a maximum speedup of 2.0× compared to the naïve implementation with no reconfiguration.  ...  CoSPARSE addresses both performance and programmability with a software and hardware reconfigurable SpMV framework.  ... 
doi:10.1109/dac18074.2021.9586114 fatcat:pukdkrjnyndtpcnwyusebclpjm