stanford-mast / Grazelle-PPoPP18Links
Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"
☆23Updated 5 years ago
Alternatives and similar repositories for Grazelle-PPoPP18
Users that are interested in Grazelle-PPoPP18 are comparing it to the libraries listed below
Sorting:
- Aspen is a Low-Latency Graph Streaming System built using Compressed Purely-Functional Trees☆89Updated 6 years ago
- A NUMA-aware Graph-structured Analytics Framework☆44Updated 7 years ago
- Edge-centric Graph Processing System using Streaming Partitions☆82Updated 7 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 7 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆71Updated 6 years ago
- ☆25Updated 2 years ago
- Parallel Balanced Binary Tree Structures☆120Updated 7 months ago
- "GraphOne: A Data Store for Real-time Analytics on Evolving Graphs", Usenix FAST'19☆60Updated 4 years ago
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆11Updated 8 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆38Updated 5 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆31Updated 8 years ago
- Asynchronous Multi-GPU Programming Framework☆47Updated 4 years ago
- Graph500 reference implementations☆180Updated 3 years ago
- GBBS: Graph Based Benchmark Suite☆213Updated 2 months ago
- A graph processing engine for hybrid CPU and GPU platforms☆38Updated 6 years ago
- A simple implementation of the packed memory array☆20Updated 12 years ago
- Pointer-chasing memory benchmark (forked from Doug Pase's code).☆59Updated 11 years ago
- Codes of the paper "Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions" that was published in SIGMOD 2018. Authors…☆29Updated 6 years ago
- New version of pbbs benchmarks☆96Updated last year
- ☆28Updated 5 months ago
- ☆39Updated 6 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆65Updated 7 years ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆51Updated 2 years ago
- ☆25Updated 10 months ago
- Hornet data structure for sparse dynamic graphs and matrices☆89Updated 5 years ago
- ☆29Updated 8 years ago
- Code for paper "Engineering a High-Performance GPU B-Tree" accepted to PPoPP 2019