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Difference between revisions of "VT GPGPU Use Case Computer Science"

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<b>[[GPGPU-WG:GPGPU_Working_Group| GO TO THE GPGPU WORKING GROUP]]</b>
<b>[[GPGPU-WG:GPGPU_Working_Group| GO TO THE GPGPU WORKING GROUP]]</b>
<b>[[VT_GPGPU/Use_Case|GO TO THE GPGPU USE CASES]]</b>
<b>[[VT_GPGPU/Use_Case|GO TO THE GPGPU USE CASES]]</b>



Latest revision as of 16:02, 19 June 2015

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GO TO THE GPGPU WORKING GROUP

GO TO THE GPGPU USE CASES

Scientific Discipline

Computer Science - Hybrid CPU/GPGPU workload management

Institute or Community

  • Trinity College Dublin, Ireland

Keywords

  • MPI
  • OpenCL
  • Hybrid CPU/GPGPU

Description

We have investigated a new dynamic workload sharing algorithm using the CPU and GPGPUs. A hueristic is used to determine how much work should be assigned to a given GPGPU or CPU. We use OpenCL with multiple ICDs (Nvidia/intel/AMD) to ensure that we have access to the CPU as an OpenCL device. OpenMPI is used to help distribute work across multiple machine.