DMM-GAPBS: Adapting the GAP Benchmark Suite to a Distributed Memory Model
2021 IEEE High Performance Extreme Computing Conference (HPEC)(2021)
Abstract
Due to the ability of graphs to model diverse real-world scenarios such as social networks, roads, or biological networks, effective graph processing techniques are of critical importance to a wide array of fields. As a consequence of the growth of data volumes, some graphs have already outgrown the memory capacities of single servers. In such cases, it is desirable to partition and keep the entir...
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Key words
Technological innovation,Social networking (online),Roads,Conferences,Computational modeling,Standardization,Benchmark testing
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