scholarly journals Integrating heuristiclab with compilers and interpreters for non-functional code optimization

2020 ◽  
Author(s):  
Daniel Dorfmeister ◽  
Oliver Krauss
Keyword(s):  
Code Optimization ◽  
Functional Code

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

Boron Segregation on the ${\rm Si}(111)\sqrt{3} \times \sqrt{3}{\rm R}30^\circ$ Surface

2003 ◽  
Vol 10 (02n03) ◽  
pp. 201-205 ◽  
Author(s):  
Hongqing Shi ◽  
M. W. Radny ◽  
P. V. Smith
Keyword(s):  
Plane Wave ◽  
Ab Initio ◽  
Density Functional ◽  
Strong Support ◽  
Am1 Calculations ◽  
Segregation Energy ◽  
Additional Information ◽  
Boron Segregation ◽  
Cluster Calculations ◽  
Functional Code

In this paper we report the results of calculations of the energies associated with the segregation of boron on the [Formula: see text] surface. These calculations have been carried out using the plane wave pseudopotential density functional code fhi98md in a periodic slab formalism. The segregation energy is predicted to be -0.77 eV. This prediction is intermediate between the "experimentally determined" values of -0.33 eV and -0.48 eV, and the values of -1.83 eV and -2.10 eV determined from AM1 cluster calculations. Additional information has been obtained by performing ab initio density functional cluster calculations using the Gaussian98 code. These latter results indicate that the AM1 calculations significantly overestimate the segregation energy of boron on the [Formula: see text] surface. They also provide strong support for the fhi98md calculations.

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