scholarly journals Retargetable Code Optimization for Predicated Execution

2008 ◽  
Author(s):  
M. Hohenauer ◽  
F. Engel ◽  
R. Leupers ◽  
G. Ascheid ◽  
H. Meyr ◽  
...  
Keyword(s):  
Code Optimization ◽  
Predicated Execution

scholarly journals Retargetable code optimization for predicated execution

2008 ◽  
Author(s):  
M. Hohenauer ◽  
F. Engel ◽  
R. Leupers ◽  
G. Ascheid ◽  
H. Meyr ◽  
...  
Keyword(s):  
Code Optimization ◽  
Predicated Execution

Code Optimization for Embedded Systems

2003 ◽  
Author(s):  
Keith D. Cooper ◽  
Devika Subramanian ◽  
Linda Torczon
Keyword(s):  
Embedded Systems ◽  
Code Optimization

A formal approach to code optimization

1970 ◽  
Vol 5 (7) ◽  
pp. 86-100 ◽  
Author(s):  
Alfred V. Aho ◽  
Ravi Sethi ◽  
J. D. Ullman
Keyword(s):  
Code Optimization ◽  
Formal Approach

A novel technique for interdependent trim code optimization

2016 ◽  
Author(s):  
Pankaj Bongale ◽  
Vinothkumar Sundaresan ◽  
Partha Ghosh ◽  
Rubin Parekhji
Keyword(s):  
Code Optimization ◽  
Novel Technique

TRANSFORMATION OF NESTED LOOPS WITH MODULO INDEXING TO AFFINE RECURRENCES

1994 ◽  
Vol 04 (03) ◽  
pp. 271-280 ◽  
Author(s):  
FLORIN BALASA ◽  
FRANK H.M. FRANSSEN ◽  
FRANCKY V.M. CATTHOOR ◽  
HUGO J. DE MAN
Keyword(s):  
Code Generation ◽  
State Of The Art ◽  
Transformation Method ◽  
Control Flow ◽  
Code Optimization ◽  
Transformation Techniques ◽  
Hermite Normal Form ◽  
Nested Loops ◽  
Affine Functions ◽  
Systems Transformation

For multi-dimensional (M-D) signal and data processing systems, transformation of algorithmic specifications is a major instrument both in code optimization and code generation for parallelizing compilers and in control flow optimization as a preprocessor for architecture synthesis. State-of-the-art transformation techniques are limited to affine index expressions. This is however not sufficient for many important applications in image, speech and numerical processing. In this paper, a novel transformation method is introduced, oriented to the subclass of algorithm specifications that contains modulo expressions of affine functions to index M-D signals. The method employs extensively the concept of Hermite normal form. The transformation method can be carried out in polynomial time, applying only integer arithmetic.

Object code optimization

1969 ◽  
Vol 12 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Edward S. Lowry ◽  
C. W. Medlock
Keyword(s):  
Code Optimization ◽  
Object Code
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