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An attempt to achieve task scheduling taking advantage of the parallelization capabilities of the GPU.

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GabrieleMessina/SchedulingWithGPU

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SchedulingWithGPU

Results and Report

Prerequisites

  • C and C++ compilers.
  • OpenCL SDK for at least one of your platforms.
  • An editor, of course.

Build (Windows)

  1. Check the makefile to suits your environment variables and compiler.
  2. Open Visual Studio Developer Command Prompt, move to the src folder and send the make command.
  3. Run the desired .exe file.
  4. Eventually choose the platform you want the code to run by writing his index in the config.txt file, you can find the correct index using oclinfo.exe once you've build it.

Build (Linux [and i think Mac too])

  1. Same as Windows but you don't need to build from Visual Studio Developer Command Prompt, every shell will be alright.
  2. And of course you won't have any .exe file, just run whatever the compiler will create.

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An attempt to achieve task scheduling taking advantage of the parallelization capabilities of the GPU.

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