P 3 T is an interactive performance estimator that assists users in performance tuning of scientific Fortran programs. It detects performance bottlenecks in the program, identifies the causes of performance problems, and guides the user in selecting effective program transformations in order to gain performance. Four of the most critical performance aspects of parallel programs are estimated: load balance, cache locality, communication and computation overhead. P 3 T is an integrated tool of the Vienna Fortran Compilation System, which enables the estimator to aggressively exploit considerable knowledge about the compiler's analysis information and code restructuring strategies. We evaluate existing features and describe substantia...
The performance of a computer system is important. One way of improving performance is to use multip...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
Developing distributed and parallel programs on today's multiprocessor architectures is still a chal...
The peak processing performance of highly parallel computers can be achieved only by advanced progra...
The area of parallelizing compilers for distributed memory multicomputers has seen considerable rese...
This paper presents a profiling tool that allows the programmer to identify the regions of the progr...
Most performance debugging and tuning of parallel programs is based on the "measure-modify"...
This report outlines the design of a performance analysis environment for SVM-Fortran programs. SVM-...
[[abstract]]©1988 North-Holland-The authors outline an approach to the design of a set of interactiv...
Traditional performance debugging and tuning of parallel programs is based on the "measure-modify" a...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
To support the transition from programming languages in which parallelism and communication are expl...
The performance of a computer system is important. One way of improving performance is to use multip...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
Developing distributed and parallel programs on today's multiprocessor architectures is still a chal...
The peak processing performance of highly parallel computers can be achieved only by advanced progra...
The area of parallelizing compilers for distributed memory multicomputers has seen considerable rese...
This paper presents a profiling tool that allows the programmer to identify the regions of the progr...
Most performance debugging and tuning of parallel programs is based on the "measure-modify"...
This report outlines the design of a performance analysis environment for SVM-Fortran programs. SVM-...
[[abstract]]©1988 North-Holland-The authors outline an approach to the design of a set of interactiv...
Traditional performance debugging and tuning of parallel programs is based on the "measure-modify" a...
Despite the performance potential of parallel systems, several factors have hindered their widesprea...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
Programming distributed memory multiprocessors requires program parallelization as well as program o...
To support the transition from programming languages in which parallelism and communication are expl...
The performance of a computer system is important. One way of improving performance is to use multip...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...