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- W1043866735 abstract "This paper presents a distributed, streaming graph parti-
 tioner, Graph Streaming Partitioner (GraSP), which makes
 partition decisions as each vertex is read from memory, sim-
 ulating an online algorithm that must process nodes as they
 arrive. GraSP is a lightweight high-performance comput-
 ing (HPC) library implemented in MPI, designed to be easily
 substituted for existing HPC partitioners such as ParMETIS.
 It is the rst MPI implementation for streaming partition-
 ing of which we are aware, and is empirically orders-of-
 magnitude faster than existing partitioners while providing
 comparable partitioning quality. We demonstrate the scala-
 bility of GraSP on up to 1024 compute nodes of NERSC's
 Edison supercomputer. Given a minute of run-time, GraSP
 can partition a graph three orders of magnitude larger than
 ParMETIS can." @default.
- W1043866735 created "2016-06-24" @default.
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- W1043866735 date "2015-01-01" @default.
- W1043866735 modified "2023-09-24" @default.
- W1043866735 title "GraSP: distributed streaming graph partitioning" @default.
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- W1043866735 doi "https://doi.org/10.5821/hpgm15.3" @default.
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