kittobi1992's Stars
kahypar/kahypar-shared-resources
This repository contains resources shared between KaHyPar and Mt-KaHyPar under MIT license.
dfunke/mountains
kurpicz/pwm
Parallel Wavelet Tree and Wavelet Matrix Construction
noahares/portfolio_solver
ParAlg/gbbs
GBBS: Graph Based Benchmark Suite
nektos/act
Run your GitHub Actions locally 🚀
KaHIP/KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
oneapi-src/oneTBB
oneAPI Threading Building Blocks (oneTBB)
TILOS-AI-Institute/HypergraphPartitioning
Hypergraph Partitioning: benchmarks, evaluators, best known solutions and codes
KaHIP/KaMinPar
Shared-Memory and Distributed-Memory Parallel Graph Partitioning
bingmann/sqlplot-tools
Generate pgfplots or gnuplots from embedded SQL statements
nasa/hybridq
HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.
oltpbenchmark/oltpbench
Database Benchmarking Framework
kahypar/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.