PrimitivesAndGraphProcessing-GPU

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PrimitivesAndGraphProcessing-GPU

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Survey of Primitives and Graph Processing on GPUs (Until 2016) - by Yulin Che (https://github.com/CheYulin)

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# Primitives & Graph Processing
## GPU Related Repositories
### Primitives-Cuda
- [Nccl](https://github.com/NVIDIA/nccl)    
  - all-reduce, all-gather, reduce-scatter, reduce, broadcast  
- [Cub](https://github.com/NVlabs/cub)   
  - CUB provides state-of-the-art, reusable software components for every layer of the CUDA programming model
- [ModernGPU](https://github.com/moderngpu/moderngpu)
  - moderngpu is a productivity library for general-purpose computing on GPUs. It is a header-only C++ library written for CUDA. The unique value of the library is in its accelerated primitives for solving irregularly parallel problems.

### Primitives-OpenCL
- [Boost.Compute](https://github.com/boostorg/compute)    
- [Bolt](https://github.com/HSA-Libraries/Bolt)

### Utilities
- [VexCL](https://github.com/ddemidov/vexcl)
  - VexCL is a vector expression template library for OpenCL/CUDA. It has been created for ease of GPGPU development with C++. VexCL strives to reduce amount of boilerplate code needed to develop GPGPU applications, supporting vector arithmetic, reduction, sparse matrix-vectork products, etc.
- [EasyOpenCL](https://github.com/Gladdy/EasyOpenCL)
  - Focus on programming the GPU instead of messing about with long C-style OpenCL function calls and manual memory management. CMake support for Linux and Mac - No more linking problems when you have installed the correct driver.
- [Hpx](https://github.com/STEllAR-GROUP/hpx)
  - A general purpose C++ runtime system for parallel and distributed applications of any scale http://stellar-group.org/libraries/hpx .

### Graph Processing Frameworks
- [Medusa](https://github.com/JianlongZhong/Medusa)  
- [Gunrock](https://github.com/gunrock/gunrock)  
- [CuSha](https://github.com/farkhor/CuSha)  [CushaCPU](https://github.com/farkhor/MTCPU-VertexCentric  )
- [Olive](https://github.com/ACSAlab/olive)  
- [Frog](https://github.com/AndrewStallman/Frog)  
- [MapGraph](https://github.com/CheYulin/MirrorOfMapGraph)  
- [GAS Vertex-Centric API](https://githUub.com/RoyalCaliber/vertexAPI2) [GraphReduce](https://github.com/dipanjans12/GraphReduce)   
- [Totem](https://github.com/netsyslab/Totem)  
- [Falcon](https://github.com/unniiisc/Falcon-A-Graph-Manipulation-Language-for-Heterogeneous-Systems)

### Graph Processing Benchmarks
- [graphalytics](https://github.com/tudelft-atlarge/graphalytics)   
- [graphBig](https://github.com/graphbig/graphBIG)  
- [distributed](https://github.com/xvz/graph-processing)

### GPU GraphDB
- [Alenka](https://github.com/antonmks/Alenka)  
  - written to use vector based processing and high bandwidth of modern GPUs

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