SCHEDULE: NOV 10-16, 2012
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Exploring Multiple Levels of Heterogeneous Performance Modeling
SESSION: Doctoral Showcase - Dissertation Research Showcase
EVENT TYPE: Doctoral Showcase
TIME: 11:45AM - 12:00PM
SESSION CHAIR: Yong Chen
Presenter(s):Vivek V. Pallipuram Krishnamani
ROOM:155-F
ABSTRACT:
Heterogeneous performance prediction models are valuable tools to accurately predict application runtime, allowing for efficient design space exploration and application mapping. Existing performance prediction models require intricate computing architecture knowledge and do not address multiple levels of design space abstraction. Our research aims to develop an easy-to-use and accurate multi-level performance prediction suite that addresses two levels of design space abstraction: low-level with partial implementation details and system specifications; and high-level with minimum implementation details and high-level system specifications. The proposed multi-level performance prediction suite targets synchronous iterative algorithms (SIAs) using our synchronous iterative execution models for GPGPU and FPGA clusters. The current work focuses on low-level abstraction modeling for GPGPU clusters using regression analysis and achieves over 90% prediction accuracy for the chosen SIA case studies. Our continued research aims at complete construction of the heterogeneous performance modeling suite and validation using additional SIA case studies.
Chair/Presenter Details:
Yong Chen (Chair) - Texas Tech University
Vivek V. Pallipuram Krishnamani - Clemson University
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