HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs. HPCTOOLKIT can pinpoint and quantify scalability bottlenecks in fully-optimized parallel programs with a measurement overhead of only a few percent. Recently, new capabilities were added to HPCTOOLKIT for collecting call path profiles for fully-optimized codes without any compiler support, pinpointing and quantifying bottlenecks in multithreaded programs, exploring performance information and source code using a new user interface, and displaying hierarchical space-time diagrams based on traces of asynchronous call stack samples. This paper provides an overview of...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
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...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Although it is increasingly difficult for large scientific programs to attain a significant fraction...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Application performance tuning is a complex process that requires assembling various types of inform...
The usage of modern profiling and tracing tools is vital for understanding program behaviour, perfor...
It is desirable for general productivity that high-performance computing applications be portable to...
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...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
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...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Although it is increasingly difficult for large scientific programs to attain a significant fraction...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Application performance tuning is a complex process that requires assembling various types of inform...
The usage of modern profiling and tracing tools is vital for understanding program behaviour, perfor...
It is desirable for general productivity that high-performance computing applications be portable to...
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...
We take a look at the performance analysis tools Vampir, Scalasca, Sun Performance Analyzer and the ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...