Graphdyns
WebFeb 1, 2024 · This work proposes GraphDynS, a hardware/software co-design with decoupled datapath and data-aware dynamic scheduling that can elaborately schedule … http://arxiv-export3.library.cornell.edu/pdf/2202.11343
Graphdyns
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WebDec 2, 2024 · An overview of Coupled Data 결합 데이터: Weakly Coupled Data, Strongly Coupled Data, WebMar 12, 2016 · This paper found that modern graph processing frameworks executed on the latest Intel multi-core systems (a single node server) exhibit a good data locality and achieve a good speedup with an increased number of cores, contrary to traditional past stereotypes. Large graph processing has attracted much renewed attention due to its increased …
WebAug 15, 2024 · Acces PDF Hardware Software Co Design Proceedings Of The Nato Advanced Study Insute Tremezzo Italy June Hardware/Software Co-Design, Codes/CASHE '96 Hardware WebNov 1, 2024 · Overall, GraphDynS achieves 4.4× speedup and 11.6× less energy on average with half the memory bandwidth compared to a state-of-the-art GPGPU-based solution. Compared to a state-of-the-art graph ...
WebOct 8, 2024 · Hardware Software Co Design Proceedings Of The Nato Advanced Study Institute Tremezzo Italy June Eventually, you will definitely discover a new experience and talent by WebMar 31, 2024 · Overall, GraphDynS achieves 4.4× speedup and 11.6× less energy on average with half the memory bandwidth compared to a state-of-the-art GPGPU-based solution. Compared to a state-of-the-art graph analytics accelerator, GraphDynS also achieves 1.9× speedup and 1.8× less energy on average using the same memory …
WebTo achieve this goal, we propose GraphDynS, a hardware/software co-design with decoupled datapath and data-aware dynamic scheduling.
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