stijnh / HyGraph
High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing
☆12Updated 8 years ago
Alternatives and similar repositories for HyGraph:
Users that are interested in HyGraph are comparing it to the libraries listed below
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 4 years ago
- LonestarGPU: Irregular algorithms parallelized for GPUs☆34Updated 5 years ago
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- ☆25Updated last year
- A NUMA-aware Graph-structured Analytics Framework☆42Updated 6 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 6 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated 4 months ago
- HeteroSync is a benchmark suite for performing fine-grained synchronization on tightly coupled GPUs☆28Updated 6 months ago
- Transforming Graphs for Efficient Irregular Graph Processing on GPUs☆47Updated 2 years ago
- Asynchronous Multi-GPU Programming Framework☆46Updated 3 years ago
- Parallelized and vectorized SpMV on Intel Xeon Phi (Knights Landing, AVX512, KNL)☆25Updated last year
- This code base represents "faimGraph: High Performance Management of Fully-dynamic Graphs under tight Memory Constraints on the GPU"☆11Updated 3 years ago
- ☆18Updated 4 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
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆10Updated 8 years ago
- ☆46Updated 2 years ago
- ☆29Updated 8 years ago
- ☆21Updated 4 years ago
- Evaluating different memory managers for dynamic GPU memory☆25Updated 4 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆31Updated 7 years ago
- ☆9Updated 6 years ago
- RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s☆35Updated 2 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 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…☆36Updated 3 years ago
- iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD'16☆24Updated 7 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- Triangle Counting for the GPU using CUDA.☆14Updated 9 years ago
- ☆35Updated 5 years ago
- Graphene: Fine-Grained IO Management for Graph Computing. FAST'17☆20Updated 8 years ago
- Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling☆13Updated last year