Over the last decades a large number of performance tools has been developed to analyze and optimize high performance applications. Their acceptance by end users, however, has been slow: each tool alone is often limited in scope and comes with widely varying interfaces and workflow constraints, requiring different changes in the often complex build and execution infrastructure of the target application. We started the Open | SpeedShop project about 3 years ago to overcome these limitations and provide efficient, easy to apply, and integrated performance analysis for parallel systems. Open | SpeedShop has two different faces: it provides an interoperable tool set covering the most common analysis steps as well as a comprehensive plugin infra...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
The KOJAK toolkit has been augmented with refined hardware performance counter support, including mo...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
The KOJAK toolkit has been augmented with refined hardware performance counter support, including mo...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Given the exponential increase in the complexity of modern parallel systems, parallel applications o...
We have developed a distributed service architecture and an integrated parallel analysis engine for ...
Advances in processors architecture, such as multicore, increase the size of complexity of parallel ...