SELECTIVE CODE GENERATION OPTIMIZATION FOR AN ADVANCED DUAL-REPRESENTATION POLYHEDRAL LOOP TRANSFORMATION FRAMEWORK
Patent №
US 8,087,010
Granted
2011-12-27
Filed 2007
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
2
nlp · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11861493
Mechanisms for selective code generation optimization for an advanced dual-representation polyhedral loop transformation framework are provided. The mechanisms of the illustrative embodiments address the weaknesses of the known polyhedral loop transformation based approaches by providing mechanisms for performing code generation transformations on individual statement instances in an intermediate representation generated by the polyhedral loop transformation optimization of the source code. These code generation transformations have the important property that they do not change program order of the statements in the intermediate representation. This property allows the result of the code generation transformations to be provided back to the polyhedral loop transformation mechanisms in a program statement view, via a new re-entrance path of the illustrative embodiments, for additional optimization.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 198870693
Assignors
EICHENBERGER, ALEXANDRE E., O'BRIEN, JOHN KEVIN PATRICK, O'BRIEN, KATHRYN M., VASILACHE, NICOLAS T.
On an employer assignment, the assignors are typically the inventors.