Karlsruhe High Quality Graph Partitioning
This is the open source framework to compute high quality graph partitions.
Pinned Repositories
CompressedStreamingGraphPartitioning
StreamCPI is a framework for reducing the memory consumption of streaming graph partitioners by compressing the array of block assignments used by such partitioners with run-length compression.
FREIGHT
Streaming Hypergraph Partitioning
HeiStream
Buffered Streaming Graph Partitioning
IntegratedProcessMapping
Integrated Multi-Level Process Mapping
KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
kahip.github.io
KaHIP Homepage
KaMinPar
Shared-Memory and Distributed-Memory Parallel Graph Partitioning
mt-KaHIP
Shared-Memory Parallel Multilevel Partitioning.
OnlineMultiSection
Streaming Process Mapping
Karlsruhe High Quality Graph Partitioning's Repositories
KaHIP/KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
KaHIP/KaMinPar
Shared-Memory and Distributed-Memory Parallel Graph Partitioning
KaHIP/mt-KaHIP
Shared-Memory Parallel Multilevel Partitioning.
KaHIP/FREIGHT
Streaming Hypergraph Partitioning
KaHIP/HeiStream
Buffered Streaming Graph Partitioning
KaHIP/IntegratedProcessMapping
Integrated Multi-Level Process Mapping
KaHIP/OnlineMultiSection
Streaming Process Mapping
KaHIP/CompressedStreamingGraphPartitioning
StreamCPI is a framework for reducing the memory consumption of streaming graph partitioners by compressing the array of block assignments used by such partitioners with run-length compression.
KaHIP/kahip.github.io
KaHIP Homepage