2020
DOI: 10.1109/mdat.2020.2968260
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Hardware-Based Real-Time Workload Forensics

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Cited by 4 publications
(1 citation statement)
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“…In addition, hardware acceleration has become one of the key technologies to support real-time processing of complex robotic systems. Research in Reference [2] and Reference [3] has made significant progress in hardware-level real-time workload forensics, which provides an important reference for hardware optimization of robotic systems. At the same time, the research of Reference [4] greatly accelerated the training process of graph neural networks through extremely fast GPU kernel design, further supporting the efficiency of robots in processing large-scale graphics data.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, hardware acceleration has become one of the key technologies to support real-time processing of complex robotic systems. Research in Reference [2] and Reference [3] has made significant progress in hardware-level real-time workload forensics, which provides an important reference for hardware optimization of robotic systems. At the same time, the research of Reference [4] greatly accelerated the training process of graph neural networks through extremely fast GPU kernel design, further supporting the efficiency of robots in processing large-scale graphics data.…”
Section: Introductionmentioning
confidence: 99%