Grus: Toward Unified-memory-efficient High-performance Graph Processing on GPU

Today’s GPU graph processing frameworks face scalability and efficiency issues as the graph size exceeds GPU-dedicated memory limit. Although recent GPUs can over-subscribe memory with Unified Memory (UM), they incur significant overhead when handling graph-structured data. In addition, many popular...

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Veröffentlicht in:	ACM transactions on architecture and code optimization 2021-03, Vol.18 (2), p.1-25
Hauptverfasser:	Wang, Pengyu, Wang, Jing, Li, Chao, Wang, Jianzong, Zhu, Haojin, Guo, Minyi
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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