Difference between revisions of "VT GPGPU Use Case Computer Science"
Jump to navigation
Jump to search
Line 1: | Line 1: | ||
[[Category:Virtual Teams]] | |||
= Scientific Discipline = | = Scientific Discipline = | ||
Computer Science - Hybrid CPU/GPGPU workload management | Computer Science - Hybrid CPU/GPGPU workload management |
Revision as of 17:11, 19 December 2012
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.