We have developed a distributed service architecture and an integrated parallel analysis engine for scalable trace based performance analysis. Our combined approach permits to handle very large performance data volumes in real-time. Unlike traditional analysis tools that do their job sequentially on an external desktop platform, our approach leaves the data at its origin and seamlessly integrates the time consuming analysis as a parallel job into the high performance production environment
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
The use of a cluster for distributed performance analy-sis of parallel trace data is discussed. We p...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Scalasca is a comprehensive open source performance analysis toolset for parallel programs, built wi...
With larger and larger systems being constantly deployed, trace-based performance analysis of parall...
Over the last decades a large number of performance tools has been developed to analyze and optimize...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...
The use of a cluster for distributed performance analy-sis of parallel trace data is discussed. We p...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Abstract. Automatic trace analysis is an effective method of identifying complex performance phenome...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Scalasca is a comprehensive open source performance analysis toolset for parallel programs, built wi...
With larger and larger systems being constantly deployed, trace-based performance analysis of parall...
Over the last decades a large number of performance tools has been developed to analyze and optimize...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
One of the important phases of parallel programming is performance analysis. Trace data provides inf...