Loop transformations have been used by compilers to optimize the performance of codes. However, it is difficult for the compiler to determine the best loop transformations due to code complexity. In this project, a tool was developed to provide users with an efficient method to perform loop transformations to optimize their code. The tool consists of a user interface which allow users to easily perform loop transformation and to view the performance gained. Invalid loop transformations would also be shown to the user to ensure the correctness of the original program. A semi-automated loop transformation was also implemented to automate the process of finding the best loop transformations. By providing users with a method to pe...
Code optimization or code transformation is a complex function of a compiler involving analyses and ...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...
Loop transformations have been used by compilers to optimize the performance of codes. However, it i...
Abstract. This paper presents a system, Loopy, for programming loop transformations. Manual loop tra...
Traditional compilers are limited in their ability to optimize applications for different architectu...
Abstract. Helping programmers write parallel software is an urgent problem given the popularity of m...
Numerous code optimization techniques, including loop nest optimizations, have been developed over t...
Over the last two decades, processor speeds have been improving much faster than memory speeds. As a...
The increasing complexity of modern architectures and memory models challenges the design of optimiz...
The development of embedded applications typically faces memory and/or execution time con-straints. ...
The performance of many parallel applications relies not on instruction-level parallelism but on loo...
Loop transformations are becoming critical to exploiting parallelism and data locality in paralleliz...
Loop optimizations such as loop unrolling, unfolding and invariant, code motion have long been used ...
Over the past 20 years, increases in processor speed have dramatically outstripped performance incre...
Code optimization or code transformation is a complex function of a compiler involving analyses and ...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...
Loop transformations have been used by compilers to optimize the performance of codes. However, it i...
Abstract. This paper presents a system, Loopy, for programming loop transformations. Manual loop tra...
Traditional compilers are limited in their ability to optimize applications for different architectu...
Abstract. Helping programmers write parallel software is an urgent problem given the popularity of m...
Numerous code optimization techniques, including loop nest optimizations, have been developed over t...
Over the last two decades, processor speeds have been improving much faster than memory speeds. As a...
The increasing complexity of modern architectures and memory models challenges the design of optimiz...
The development of embedded applications typically faces memory and/or execution time con-straints. ...
The performance of many parallel applications relies not on instruction-level parallelism but on loo...
Loop transformations are becoming critical to exploiting parallelism and data locality in paralleliz...
Loop optimizations such as loop unrolling, unfolding and invariant, code motion have long been used ...
Over the past 20 years, increases in processor speed have dramatically outstripped performance incre...
Code optimization or code transformation is a complex function of a compiler involving analyses and ...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...
Abstract. Optimizing compilers have a long history of applying loop transformations to C and Fortran...