dhruvbird / GTgraphLinks
The Gtgraph library from Georgia Tech.
☆19Updated 2 years ago
Alternatives and similar repositories for GTgraph
Users that are interested in GTgraph are comparing it to the libraries listed below
Sorting:
- LLAMA Graph Analytics Engine☆41Updated 7 years ago
- A scalable distributed graph partitioner. Ongoing research.☆15Updated 8 years ago
- GraphMat graph analytics framework☆102Updated 2 years ago
- Lightweight performance and debugging tools☆17Updated 5 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- A graph processing engine for hybrid CPU and GPU platforms☆38Updated 6 years ago
- Chaos: Scale-out Graph Processing from Secondary Storage☆50Updated 9 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆70Updated 6 years ago
- ☆82Updated 7 years ago
- Out-of-core graph processing on a single machine.☆130Updated 7 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 5 years ago
- A DSL for efficient Graph Analysis☆102Updated 6 years ago
- A NUMA-aware Graph-structured Analytics Framework☆44Updated 6 years ago
- Webgraph++ code (http://cnets.indiana.edu/groups/nan/webgraph/)☆31Updated 11 months ago
- This repository contains information about graph processing.☆32Updated 11 months ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- Aspen is a Low-Latency Graph Streaming System built using Compressed Purely-Functional Trees☆88Updated 6 years ago
- A vertex-centric CUDA/C++ API for large graph analytics on GPUs using the Gather-Apply-Scatter abstraction☆23Updated 11 years ago
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆11Updated 8 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
- Your worst case is our best case.☆139Updated 8 years ago
- A Spark Based Scalable Framework for Efficient Hypergraph Processing☆22Updated 9 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆85Updated 5 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆35Updated 5 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 6 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆31Updated 8 years ago
- ☆25Updated 2 years ago
- Lumos: Dependency-Driven Disk-based Graph Processing☆20Updated 5 years ago
- Graph500 reference implementations☆175Updated 3 years ago
- ☆29Updated 8 years ago