LonestarGPU: Irregular algorithms parallelized for GPUs
☆38Nov 11, 2019Updated 6 years ago
Alternatives and similar repositories for GaloisGPU
Users that are interested in GaloisGPU are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Galois: C++ library for multi-core and multi-node parallelization☆352May 16, 2024Updated last year
- A Distributed Multi-GPU System for Fast Graph Processing☆65Oct 25, 2018Updated 7 years ago
- Pannotia v0.9 is a suite of OpenCL graph applications☆24Sep 13, 2017Updated 8 years ago
- A Dataflow library for graph analytics acceleration☆14Dec 15, 2015Updated 10 years ago
- GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated…☆15Jun 24, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarkin…☆43Jan 30, 2026Updated 2 months ago
- A Lightweight Graph Processing Framework for Multi-GPUs☆14Apr 15, 2015Updated 11 years ago
- GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators☆34Apr 3, 2022Updated 4 years ago
- ☆12Dec 17, 2023Updated 2 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 framework for pipelined computing on GPU☆30Jul 17, 2019Updated 6 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- Hornet data structure for sparse dynamic graphs and matrices☆90Nov 14, 2019Updated 6 years ago
- ☆33Sep 9, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆12Mar 20, 2017Updated 9 years ago
- ☆19Nov 21, 2022Updated 3 years ago
- A graph processing engine for hybrid CPU and GPU platforms☆39Feb 7, 2019Updated 7 years ago
- A Valgrind extension for CUDA, unofficial mirror for https://www.hlrs.de/organization/av/spmt/research/cudagrind/☆10Aug 5, 2015Updated 10 years ago
- HeteroSync is a benchmark suite for performing fine-grained synchronization on tightly coupled GPUs☆32Sep 19, 2024Updated last year
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆23Jun 14, 2020Updated 5 years ago
- HCC Sample Applications☆13Jan 3, 2017Updated 9 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Feb 3, 2025Updated last year
- ☆81Nov 16, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆33May 20, 2017Updated 8 years ago
- CUDA Dynamic Memory Allocator for SOA Data Layout☆39Dec 29, 2021Updated 4 years ago
- Triangle Counting for the GPU using CUDA.☆14Nov 5, 2015Updated 10 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆41Nov 16, 2021Updated 4 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆32Jun 25, 2025Updated 10 months ago
- mini is mini☆20Jan 19, 2020Updated 6 years ago
- Asynchronous Multi-GPU Programming Framework☆50Jun 8, 2021Updated 4 years ago
- ☆24May 23, 2023Updated 2 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
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This repository contains the cuStinger data structure used for dynamic graph representation.☆20Jan 11, 2019Updated 7 years ago
- ☆14Apr 24, 2024Updated 2 years ago
- G3: A Programmable GNN Training System on GPU☆43Aug 29, 2020Updated 5 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Apr 23, 2020Updated 6 years ago
- This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA☆25Oct 29, 2017Updated 8 years ago
- ☆13Oct 25, 2024Updated last year
- GKLEE is a symbolic analyser and test generator tailored for CUDA C++ programs☆16Dec 12, 2014Updated 11 years ago