SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]
☆23Jun 14, 2020Updated 5 years ago
Alternatives and similar repositories for simd-x
Users that are interested in simd-x are comparing it to the libraries listed below
Sorting:
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆32May 20, 2017Updated 8 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Feb 3, 2025Updated last year
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆32Jun 25, 2025Updated 8 months ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆38Nov 11, 2019Updated 6 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆50Nov 15, 2022Updated 3 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆53Nov 17, 2015Updated 10 years ago
- A graph processing engine for hybrid CPU and GPU platforms☆38Feb 7, 2019Updated 7 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Oct 25, 2018Updated 7 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Apr 23, 2020Updated 5 years ago
- Hybrid methods for Parallel Betweenness Centrality on the GPU☆24Dec 20, 2018Updated 7 years ago
- ☆12Dec 17, 2023Updated 2 years ago
- Source code of "ThunderRW: An In-Memory Graph Random Walk Engine" published in VLDB'2021 - By Shixuan Sun, Yuhang Chen, Shengliang Lu, Bi…☆27Aug 15, 2021Updated 4 years ago
- Graph Sampling using GPU☆52Mar 17, 2022Updated 3 years ago
- Asynchronous Multi-GPU Programming Framework☆48Jun 8, 2021Updated 4 years ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆29Jul 23, 2023Updated 2 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆58Nov 15, 2022Updated 3 years ago
- A Scalable BFS Accelerator on FPGA-HBM Platform☆13Jul 30, 2021Updated 4 years ago
- Triangle Counting for the GPU using CUDA.☆14Nov 5, 2015Updated 10 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…☆36May 29, 2021Updated 4 years ago
- CUDA Dynamic Memory Allocator for SOA Data Layout☆38Dec 29, 2021Updated 4 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆63Oct 17, 2020Updated 5 years ago
- Lumos: Dependency-Driven Disk-based Graph Processing☆20Jan 19, 2020Updated 6 years ago
- G3: A Programmable GNN Training System on GPU☆43Aug 29, 2020Updated 5 years ago
- Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].☆18Jan 23, 2020Updated 6 years ago
- GVProf: A Value Profiler for GPU-based Clusters☆53Mar 24, 2024Updated last year
- ☆17Feb 26, 2020Updated 6 years ago
- ☆19Jul 1, 2020Updated 5 years ago
- Trust: Triangle Counting Reloaded on GPUs☆21Oct 14, 2023Updated 2 years ago
- ☆22Dec 4, 2020Updated 5 years ago
- ☆24May 23, 2023Updated 2 years ago
- Graphene: Fine-Grained IO Management for Graph Computing. FAST'17☆20Apr 12, 2017Updated 8 years ago
- GPU MemoryManager based on virtualized queues☆27Jun 25, 2022Updated 3 years ago
- iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD'16☆26Jun 8, 2017Updated 8 years ago
- Tutorials for NVIDIA CUPTI samples☆55Nov 3, 2025Updated 3 months ago
- ❤️ CUDA/C++ GPU graph analytics simplified.☆32Sep 19, 2022Updated 3 years ago
- A framework for pipelined computing on GPU☆30Jul 17, 2019Updated 6 years ago
- Source code for the paper: Accelerating Dynamic Graph Analytics on GPUs☆29Jun 19, 2023Updated 2 years ago
- Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite☆69Sep 12, 2018Updated 7 years ago