Automatic parallelization is the conversion of sequential code into multi-threaded code with little or no supervision. An ideal implementation of automatic parallelization would allow programmers to fully utilize available hardware resources to deliver optimal performance when writing code. Automatic parallelization has been studied for a long time, with one result being that modern compilers support vectorization without any input. In the study, contemporary parallelizing compilers are studied in order to determine whether or not they can easily be used in modern software development, and how code generated by them compares to manually parallelized code. Five compilers, ICC, Cetus, autoPar, PLUTO, and TC Optimizing Compiler are included in...
Speeding up sequential programs on multicores is a challenging problem that is in urgent need of a s...
Automatic parallelization techniques for finding loop-based parallelism fail to find efficient paral...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
Automatic parallelization is the conversion of sequential code into multi-threaded code with little ...
There is a demand for reducing the cost of porting legacy code to di erent embedded platforms. One s...
As the pervasiveness of parallel architectures in computing increases, so does the need for efficien...
In today’s multicore era, parallelization of serial code is essential in order to exploit the archit...
This paper presents an overview and evaluation of the existing and newly added analysis and transfor...
Characteristics of full applications found in scientific computing industries today lead to challeng...
Today multicore technology is the standard processor technology for desktop and laptop computers and...
In today’s multicore era, parallelization of serial code is essential in order to exploit the archit...
Abstract. In today’s multicore era, parallelization of serial code is es-sential in order to exploit...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
Parallel software is now required to exploit the abundance of threads and processors in modern multi...
Speeding up sequential programs on multicores is a challenging problem that is in urgent need of a s...
Automatic parallelization techniques for finding loop-based parallelism fail to find efficient paral...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...
Automatic parallelization is the conversion of sequential code into multi-threaded code with little ...
There is a demand for reducing the cost of porting legacy code to di erent embedded platforms. One s...
As the pervasiveness of parallel architectures in computing increases, so does the need for efficien...
In today’s multicore era, parallelization of serial code is essential in order to exploit the archit...
This paper presents an overview and evaluation of the existing and newly added analysis and transfor...
Characteristics of full applications found in scientific computing industries today lead to challeng...
Today multicore technology is the standard processor technology for desktop and laptop computers and...
In today’s multicore era, parallelization of serial code is essential in order to exploit the archit...
Abstract. In today’s multicore era, parallelization of serial code is es-sential in order to exploit...
Parallelizing compilers have emerged to be a useful tool in the development of parallel programs. Mo...
The goal of this dissertation is to give programmers the ability to achieve high performance by focu...
Parallel software is now required to exploit the abundance of threads and processors in modern multi...
Speeding up sequential programs on multicores is a challenging problem that is in urgent need of a s...
Automatic parallelization techniques for finding loop-based parallelism fail to find efficient paral...
© 2012 Dr. Paul BoneMulticore computing is ubiquitous, so programmers need to write parallel program...