Accession Number:

ADA470516

Title:

Evolutionary Computation in Polymorphous Computing Architectures: Metaoptimization of the Scale In-Lining Priority Function for Trips

Descriptive Note:

Final technical rept. Dec 2004-Jan 2007

Corporate Author:

ROSE-HULMAN INST OF TECH TERRE HAUTE IN

Personal Author(s):

Report Date:

2007-07-01

Pagination or Media Count:

28.0

Abstract:

Leading polymorphous computing architecture PCA efforts include the Raw Architecture Workstation RAW and the Tera-op Reliable and Intelligently Adaptive Processing System TRIPS, both of which are tile-based. The Raw toolchain places responsibility for program decomposition on the programmer but the TRIPS toolchain automatically generates hyperblocks and allocates them to processing elements. This report identifies evolutionary computation EC techniques that enable and that are enabled by PCA technology, focusing on application of EC in enhancing the effectiveness of the TRIPS toolchain, including the Scalable Compiler for Analytic Experiments SCALE compiler. In particular, computational experiments are described that investigate the application of genetic programming to the meta-optimization of the priority function used to increase the number of instructions per hyperblock in the in-lining optimization phase of SCALE.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE