SC13 Home > SC13 Schedule > SC13 Presentation - Automated Floating-point Program Analysis

SCHEDULE: NOV 16-22, 2013

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Automated Floating-point Program Analysis

SESSION: Doctoral Showcase - Dissertation Research

EVENT TYPE: Doctoral Showcase - Dissertation Research Showcase

TIME: 1:45PM - 2:00PM

SESSION CHAIR: Alistair Rendell

Presenter(s):Michael O. Lam

ROOM:601/603

ABSTRACT:
As scientific computation continues to scale, it is crucial to use floating-point arithmetic as efficiently as possible. Lower precision allows streaming architectures to perform more operations per second and can reduce memory bandwidth pressure. However, using a precision that is too low will result in inaccurate results. Thus, developers must balance speed and accuracy when choosing the floating-point precision of their subroutines and data structures. I have developed program analysis techniques to help developers learn about the runtime floating-point behavior of their programs, with the goal of helping them make decisions concerning the choice of precision in implementation. I have developed automated methods for cancellation detection, range tracking, mixed-precision configuration, mixed-precision search, and bit-level sensitivity analysis. This body of work improves the state of the field of program analysis and scientific computing by providing insights that were not previously available using automated analysis techniques.

Chair/Presenter Details:

Alistair Rendell (Chair) - Australian National University

Michael O. Lam - University of Maryland, College Park

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