iHeartGraph / Enterprise
Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.
☆31Updated 7 years ago
Alternatives and similar repositories for Enterprise:
Users that are interested in Enterprise are comparing it to the libraries listed below
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆47Updated 2 years ago
- Out-of-GPU-Memory Graph Processing with Minimal Data Transfer☆53Updated 2 years ago
- Asynchronous Multi-GPU Programming Framework☆46Updated 3 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆68Updated 6 years ago
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆20Updated 4 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆35Updated 5 years ago
- iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD'16☆24Updated 7 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 6 years ago
- ☆46Updated 2 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated 4 months ago
- ☆35Updated 5 years ago
- ☆25Updated last year
- A graph processing engine for hybrid CPU and GPU platforms☆38Updated 6 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…☆30Updated 6 years ago
- ☆24Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆39Updated 2 months ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- ☆40Updated 3 years ago
- An efficient storage system for concurrent graph processing☆10Updated 4 years ago
- FlashMob is a shared-memory random walk system.☆32Updated last year
- Lumos: Dependency-Driven Disk-based Graph Processing☆18Updated 5 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 5 years ago
- Source code for the paper: Accelerating Dynamic Graph Analytics on GPUs☆25Updated last year
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- ☆29Updated 4 years ago
- Trust: Triangle Counting Reloaded on GPUs☆20Updated last year
- ☆29Updated 8 years ago