An effective methodology of performance evaluation and improvement enables application developers to quickly and efficiently tune their applications to achieve good performance. One efficient approach to improving performance for scientific applications is to bound the best achievable performance that a machine could deliver on a particular application code and then try to approach this bound in delivered performance. A useful abstraction is to approximate components of the application, architecture, compiler as independent contributors to the total application runtime. A hierarchy of such bounds equations can be constructed by successively taking into account actual rather than idealized additional components of machine runtime (and hence ...
Tuning the performance of applications requires understanding the interactions between code and targ...
Scientific programs are typically characterized as floating-point intensive loop-dominated tasks wit...
ABSTRACT Goal-Directed Performance Tuning for Scientific Applications by Tien-Pao Shih Chair: Edward...
We have developed a hierarchical performance bounding methodology that attempts to explain the perfo...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
We have developed a hierarchical performance bounding meth-odology that attempts to explain the perf...
Tuning the performance of applications requires understanding the interactions between code and targ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
We have developed a performance bounding methodology that explains the performance of loop-dominated...
Performance tuning, as carried out by compiler designers and application programmers to close the pe...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance and scalability of high performance scientific applications on large scale parallel mach...
Tuning the performance of applications requires understanding the interactions between code and targ...
Scientific programs are typically characterized as floating-point intensive loop-dominated tasks wit...
ABSTRACT Goal-Directed Performance Tuning for Scientific Applications by Tien-Pao Shih Chair: Edward...
We have developed a hierarchical performance bounding methodology that attempts to explain the perfo...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
We have developed a hierarchical performance bounding meth-odology that attempts to explain the perf...
Tuning the performance of applications requires understanding the interactions between code and targ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
Abstract — A well organized parallel application can accomplish better performance over sequential e...
The area of parallel and distributed computing has grown very fast in the past few decades with the ...
We have developed a performance bounding methodology that explains the performance of loop-dominated...
Performance tuning, as carried out by compiler designers and application programmers to close the pe...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
Performance and scalability of high performance scientific applications on large scale parallel mach...
Tuning the performance of applications requires understanding the interactions between code and targ...
Scientific programs are typically characterized as floating-point intensive loop-dominated tasks wit...
ABSTRACT Goal-Directed Performance Tuning for Scientific Applications by Tien-Pao Shih Chair: Edward...