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Join The Work

  • htugrulbuyukisik
  • 13 Nis 2017
  • 1 dakikada okunur

This is an open source project and the cluster computing part is still prealpha. There are also no built-in kernel codes. The core of this API only works with OpenCL kernels but will get better when kernel supply grows and becomes ready for direct compute methods such as image-resizing and fast fourier transform.

If you think you can add kernel functions like fast fourier transforms, image encoding-decoding or efficient communication methods with TCP-IP, feel free to visit:

Repository:

Tutorial:

Workloads to be balanced in the development are:

 
 
 

Commentaires


Why GPGPU? 
  • Offload image-resize to all GPUs and FPGAs so server feels more relaxed to host websites

  • Move compute-heavy sql table joins to C# side to let sql server handle the data-heavy parts.

  • Make particle physics programs performance-aware, even a mild overclock to one of GPUs will increase overall performance.

  • Write your own genuine kernel code to accomplish multi-GPU computing, easily without getting low-level on host side.

 UPCOMING VERSIONS: 

 

  • Device to device pipelining

 

  • Built-in image resizer functions.

 

  • Built-in matrix-multiplication functions.

 

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