SC is the International Conference for
 High Performnance Computing, Networking, Storage and Analysis

SCHEDULE: NOV 13-19, 2010

Program Optimization through Loop Vectorization

SESSION: M17: Program Optimization through Loop Vectorization

EVENT TYPE: Tutorial

TIME: 1:30PM - 5:00PM

Presenter(s):Maria J. Garzaran, David Padua, William D. Gropp, Saeed Maleki

ROOM:388

ABSTRACT:
A significant fraction of the available performance in today’s microprocessors comes from their vector extensions. Vector instructions can be incorporated into programs automatically by compilers or manually by the programmer. Typically, however, applications do not take full advantage of these operations, greatly reducing the performance achieved. In this tutorial, we will discuss techniques that allow applications to take advantage of microprocessor vector extensions. We will pay special attention to the limitations that prevent compilers from automatically generating efficient vector code and the manual code transformations that the programmer can apply at the source level to enable compiler vectorization. Code snippets from real applications will be used to discuss the behavior of different vendor compilers and the performance improvement obtained as a result of the vectorization. The tutorial will also show how to write vector code using intrinsics when the compiler fails to vectorize.

Chair/Presenter Details:

Maria J. Garzaran - University of Illinois at Urbana-Champaign

David Padua - University of Illinois at Urbana-Champaign

William D. Gropp - University of Illinois at Urbana-Champaign

Saeed Maleki - University of Illinois at Urbana-Champaign

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