sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Investigating Prefetch Potential on the Xeon Phi with Autotuning

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Saami Rahman, Ziliang Zong, Apan Qasem

ROOM:Level 4 - Lobby

ABSTRACT:

Prefetching is a well-known technique that is used to hide memory latency. Modern compilers analyze the program and insert prefetch instructions in the compiled binary. The Intel C Compiler (ICC) allows the programmer to specify two parameters that can help the compiler insert more accurate and timely prefetch instructions. The two parameters are -opt-prefetch and -opt-prefetch-distance. When unspecified, ICC uses default heuristics. In this work, we present the results of autotuning the two mentioned parameters and the its effect on performance and energy. Choosing these parameters using analysis by hand can be challenging and time consuming as it requires knowledge of memory access patterns as well as significant time investment. We have developed a simple autotuning framework for the Xeon Phi architecture that automatically tunes these two parameters for any given program. We used the framework on 4 memory intensive programs and gained up to 1.47 speedup and 1.39 greenup.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Saami Rahman - Texas State University

Ziliang Zong - Texas State University

Apan Qasem - Texas State University

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