farkhor / WS-VR
A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.
☆10Updated 8 years ago
Alternatives and similar repositories for WS-VR:
Users that are interested in WS-VR are comparing it to the libraries listed below
- LonestarGPU: Irregular algorithms parallelized for GPUs☆34Updated 5 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- A graph processing engine for hybrid CPU and GPU platforms☆38Updated 6 years ago
- Asynchronous Multi-GPU Programming Framework☆46Updated 3 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 3 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 6 years ago
- mini is mini☆20Updated 5 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 4 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- This code base represents "faimGraph: High Performance Management of Fully-dynamic Graphs under tight Memory Constraints on the GPU"☆11Updated 3 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆31Updated 7 years ago
- A NUMA-aware Graph-structured Analytics Framework☆42Updated 6 years ago
- This repository contains the cuStinger data structure used for dynamic graph representation.☆19Updated 6 years ago
- ☆29Updated 8 years ago
- GraphMat graph analytics framework☆102Updated 2 years ago
- Codes of the paper "Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions" that was published in SIGMOD 2018. Authors…☆28Updated 6 years ago
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆82Updated 5 years ago
- Triangle Counting for the GPU using CUDA.☆14Updated 9 years ago
- High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing☆12Updated 8 years ago
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆20Updated 4 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated 4 months ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆47Updated 2 years ago
- ☆25Updated last year
- GraphBLAS Template Library (GBTL): C++ graph algorithms and primitives using semiring algebra as defined at graphblas.org☆133Updated last year
- HeteroSync is a benchmark suite for performing fine-grained synchronization on tightly coupled GPUs☆28Updated 6 months ago
- A Comprehensive Benchmark Suite for Graph Computing☆67Updated 6 years ago
- Aspen is a Low-Latency Graph Streaming System built using Compressed Purely-Functional Trees☆87Updated 5 years ago
- ☆28Updated this week