We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the Intel Trace Analyzer and Collector, which provide execution analysis of parallel programs for optimization and scaling purposes. We investigate, from a novice user?s point of view, to what extent these tools support frequently used programming languages and constructs, discuss their performance impact and the insight these tools provide focusing on the instrumentation and program analysis. For this we analyzed codes currently used at the RWTH Aachen University: XNS, DROPS and HPL
As access to supercomputing resources is becoming more and more commonplace, performance analysis to...
Application performance tuning is a complex process that requires assembling various types of inform...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The usage of modern profiling and tracing tools is vital for understanding program behaviour, perfor...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
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...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
With rising complexity of high performance computing systems and their parallel software, performanc...
As access to supercomputing resources is becoming more and more commonplace, performance analysis to...
Application performance tuning is a complex process that requires assembling various types of inform...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
The usage of modern profiling and tracing tools is vital for understanding program behaviour, perfor...
Modern supercomputers with multi-core nodes enhanced by accelerators, as well as hybrid programming ...
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...
The evolution of parallel and distributed architectures and programming paradigms for performance-or...
Utilizing the parallelism offered by multicore CPUs is hard, though profiling and tracing are establ...
Performance analysis of parallel programs continues to be challenging for programmers. Programmers h...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
With rising complexity of high performance computing systems and their parallel software, performanc...
As access to supercomputing resources is becoming more and more commonplace, performance analysis to...
Application performance tuning is a complex process that requires assembling various types of inform...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
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