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 17:02, 19 June 2015
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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.