SCHEDULE: NOV 10-16, 2012
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Programming High Performance Heterogeneous Computing Systems: Paradigms, Models and Metrics
SESSION: Doctoral Showcase - Dissertation Research Showcase
EVENT TYPE: Doctoral Showcase
TIME: 2:45PM - 3:00PM
SESSION CHAIR: Yong Chen
Presenter(s):Ashwin M. Aji
ROOM:155-F
ABSTRACT:
While GPUs are computational powerhouses, GPU clusters are largely inefficient due to multiple data transfer costs across the PCIe bus. I have developed MPI-ACC, a high performance communication library for end-to-end data movement in CPU-GPU systems, where MPI-ACC is an extension to the popular MPI parallel programming paradigm. I provide a wide range of optimizations for point-to-point communication within MPI-ACC, which can be seamlessly leveraged by the application developers. I also show how MPI-ACC can further enable new application-specific optimizations, like efficient CPU-GPU co-scheduling and simultaneous CPU-GPU computation and network-GPU communication for improved system efficiency. I have also developed performance models to predict realistic performance bounds for GPU kernels, and this knowledge is used for optimal task distribution between the CPUs and GPUs for better efficiency.
Lastly, I define a general efficiency metric for heterogeneous computing systems and show how MPI-ACC improves the overall efficiency of CPU-GPU based heterogeneous systems.
Chair/Presenter Details:
Yong Chen (Chair) - Texas Tech University
Ashwin M. Aji - Virginia Tech
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