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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Reduced-Precision Floating-Point Analysis

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):Michael O. Lam, Jeffrey K. Hollingsworth

ROOM:Level 4 - Lobby


Floating-point computation is ubiquitous in scientific computing, but rounding error can compromise the results of extended calculations. In previous work [1], we presented techniques for automated mixed-precision analysis and configuration. We now present new techniques that use binary instrumentation and modification to do fine-grained floating-point precision analysis, simulating any level of precision less than or equal to the precision of the original program. These techniques have lower overhead and provide more general insights than previous mixed-precision analyses. We also present a novel histogram-based visualization of a program’s floating-point precision sensitivity, and an incremental search technique that gives the user more control over the precision analysis process.

Chair/Author Details:

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

Michael O. Lam - James Madison University

Jeffrey K. Hollingsworth - University of Maryland

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