Fueled by increasing processor speeds and high speed interconnection networks, advances in high performance computer architectures have allowed the development of increasingly complex large scale parallel systems. For computational scientists, programming these systems efficiently is a challenging task. Understanding the performance of their parallel applications i
Tuning the performance of applications requires understanding the interactions between code and targ...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Large scientific applications developed as recently as five to ten years ago are often at a disadvan...
In this project, we proposed to create new technology for performance observation and analysis of la...
The ability of performance technology to keep pace with the growing complexity of parallel and distr...
There is a growing gap between the peak speed of parallel computing systems and the actual delivered...
There are a number of challenges facing the High Performance Computing (HPC) community, including in...
There is a growing gap between the peak speed of parallel computing systems and the actual delivere...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance and scalability of high performance scientific applications on large scale parallel mach...
An effective methodology of performance evaluation and improvement enables application developers to...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Tuning the performance of applications requires understanding the interactions between code and targ...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Large scientific applications developed as recently as five to ten years ago are often at a disadvan...
In this project, we proposed to create new technology for performance observation and analysis of la...
The ability of performance technology to keep pace with the growing complexity of parallel and distr...
There is a growing gap between the peak speed of parallel computing systems and the actual delivered...
There are a number of challenges facing the High Performance Computing (HPC) community, including in...
There is a growing gap between the peak speed of parallel computing systems and the actual delivere...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance and scalability of high performance scientific applications on large scale parallel mach...
An effective methodology of performance evaluation and improvement enables application developers to...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Tuning the performance of applications requires understanding the interactions between code and targ...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
Large scientific applications developed as recently as five to ten years ago are often at a disadvan...