Adam27X / hybrid_BCLinks
Hybrid methods for Parallel Betweenness Centrality on the GPU
☆24Updated 6 years ago
Alternatives and similar repositories for hybrid_BC
Users that are interested in hybrid_BC are comparing it to the libraries listed below
Sorting:
- GraphMat graph analytics framework☆102Updated 2 years ago
- A graph processing engine for hybrid CPU and GPU platforms☆38Updated 6 years ago
- This repository contains the cuStinger data structure used for dynamic graph representation.☆20Updated 6 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆31Updated 8 years ago
- Asynchronous Multi-GPU Programming Framework☆46Updated 4 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆36Updated 5 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆87Updated 5 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 6 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆63Updated 4 years ago
- Frog is Asynchronous Graph Processing on GPU with Hybrid Coloring Model. The fundamental idea is based on Pareto principle (or 80-20 rule…☆36Updated 4 years ago
- GBBS: Graph Based Benchmark Suite☆212Updated 3 weeks ago
- MPI+OpenMP implementation of Louvain method for Graph Community Detection, with a number of parallel heuristics/approximate computing tec…☆27Updated last month
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆53Updated 9 years ago
- Multi-threaded Large-Scale RMAT Graph Generator.☆129Updated last year
- Aspen is a Low-Latency Graph Streaming System built using Compressed Purely-Functional Trees☆87Updated 6 years ago
- GraphBLAS Template Library (GBTL): C++ graph algorithms and primitives using semiring algebra as defined at graphblas.org☆136Updated 2 years ago
- Dynamic data structure for sparse graphs.☆31Updated last year
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 5 years ago
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆11Updated 8 years ago
- A NUMA-aware Graph-structured Analytics Framework☆44Updated 7 years ago
- ☆24Updated 8 months ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- Chaos: Scale-out Graph Processing from Secondary Storage☆50Updated 9 years ago
- High-Performance Linear Algebra-based Graph Primitives on GPUs☆229Updated 4 years ago
- Triangle Counting for the GPU using CUDA.☆14Updated 9 years ago
- ☆25Updated 4 years ago
- Differentiated Computation and Partitioning on Skewed (Natural or Bipartite) Graphs☆66Updated 3 years ago
- Codes of the paper "Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions" that was published in SIGMOD 2018. Authors…☆30Updated 6 years ago
- ☆17Updated 5 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆55Updated 2 years ago