MTB90 / cuda-floyd_warshall
CUDA implementation of the Blocked Floyd Warshall All pairs shortest path graph algorithm
☆38Updated 6 years ago
Alternatives and similar repositories for cuda-floyd_warshall:
Users that are interested in cuda-floyd_warshall are comparing it to the libraries listed below
- CUDA implementation of the Floyd-Warshall All pairs shortest path graph algorithm(with path reconstruction)☆38Updated 10 years ago
- A Library for fast Hash Tables on GPUs☆114Updated 2 years ago
- A warp-oriented dynamic hash table for GPUs☆74Updated last year
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- BGHT: High-performance static GPU hash tables.☆61Updated 5 months ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 6 years ago
- Some CUDA design patterns and a bit of template magic for CUDA☆149Updated last year
- Implementation of breadth first search on GPU with CUDA Driver API.☆47Updated 3 years ago
- Full-speed Array of Structures access☆164Updated last year
- Asynchronous Multi-GPU Programming Framework☆45Updated 3 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆52Updated last year
- ☆91Updated 8 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆33Updated 5 years ago
- a CUDA implementation of a priority queue☆84Updated 4 years ago
- A minimalistic header only C++11 Neural Network library based on Eigen::Tensor☆20Updated 7 years ago
- ☆64Updated last year
- Sparse matrix computation library for GPU☆54Updated 4 years ago
- 🎃 GPU load-balancing library for regular and irregular computations.☆62Updated 8 months ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 4 years ago
- This repository contains the cuStinger data structure used for dynamic graph representation.☆19Updated 6 years ago
- Efficient Top-K implementation on the GPU☆155Updated 5 years ago
- CUDA Tensor Transpose (cuTT) library☆51Updated 7 years ago
- ☆31Updated 4 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆58Updated 2 years ago
- An implementation of the revised simplex algorithm in CUDA for solving linear optimization problems in the form max{c*x | A*x=b, l<=x<=u}☆26Updated 8 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆81Updated 5 years ago
- iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD'16☆23Updated 7 years ago
- cuASR: CUDA Algebra for Semirings☆35Updated 2 years ago
- Code for paper "Engineering a High-Performance GPU B-Tree" accepted to PPoPP 2019☆56Updated 2 years ago