Pinned Repositories
danielseemaier.github.io
FREIGHT
Streaming Hypergraph Partitioning
graphiobench
graphtools
huge-allocs-test
kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
mkexp
Scripts to install and run experiments with various distributed graph partitioners
KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
KaMinPar
Shared-Memory and Distributed-Memory Parallel Graph Partitioning
KaGen
KaGen: Communication-free Massively Distributed Graph Generators
DanielSeemaier's Repositories
DanielSeemaier/mkexp
Scripts to install and run experiments with various distributed graph partitioners
DanielSeemaier/kahypar
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
DanielSeemaier/graphtools
DanielSeemaier/graphiobench
DanielSeemaier/huge-allocs-test
DanielSeemaier/danielseemaier.github.io
DanielSeemaier/FREIGHT
Streaming Hypergraph Partitioning
DanielSeemaier/geographer
DanielSeemaier/getaffinity
DanielSeemaier/growt
This is a header only library offering a variety of dynamically growing concurrent hash tables. That all work by dynamically migrating the current table once it gets too full.
DanielSeemaier/HeiStream
Buffered Streaming Graph Partitioning
DanielSeemaier/hyperlink
DanielSeemaier/KaHIP
The graph partitioning framework KaHIP -- Karlsruhe High Quality Partitioning.
DanielSeemaier/minloggapa
DanielSeemaier/mt-kahypar
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
DanielSeemaier/PuLP
DanielSeemaier/sampling
Efficient Random Sampling: Parallel, Vectorized, Cache-Efficient, and Online
DanielSeemaier/SparseAllToAllBenchmark
DanielSeemaier/utils_tm
DanielSeemaier/webgraph-converter
Convert graphs in the webgraph format to plain text edgelists.