Profiling and tuning of parallel applications is an essential part of HPC. Analysis and improvement of the hot spots of an application can be done using one of many available tools, that provides measurement of resources consumption for each instrumented part of the code. Since complex applications show different behavior in each part of the code, it is desired to insert instrumentation to separate these parts. Besides manual instrumentation, some profiling libraries provide different ways of instrumentation. Out of these, the binary patching is the most universal mechanism, that highly improves user-friendliness and robustness of the tool. We provide an overview of the most often used binary patching tools and show a workflow of how to use...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
As machines get larger and scientific applications advance, it is more and more imperative to fully ...
It is desirable for general productivity that high-performance computing applications be portable to...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and improvement ...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
Our research project intends to build knowledge about HPC problems to be able to help local research...
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...
Performance measurement and runtime tuning tools are both vital in the HPC software ecosystem and us...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
We present some preliminary results of selective profiling in our efforts towards automatic performa...
Performance of parallel programs is one of the reasons of their development. The process of designin...
Profiling of an application identifies parts of the code being executed using the hardware performan...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
As machines get larger and scientific applications advance, it is more and more imperative to fully ...
It is desirable for general productivity that high-performance computing applications be portable to...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and improvement ...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
Our research project intends to build knowledge about HPC problems to be able to help local research...
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...
Performance measurement and runtime tuning tools are both vital in the HPC software ecosystem and us...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
We present some preliminary results of selective profiling in our efforts towards automatic performa...
Performance of parallel programs is one of the reasons of their development. The process of designin...
Profiling of an application identifies parts of the code being executed using the hardware performan...
While parallel computing offers an attractive perspective for the future, developing efficient paral...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
As machines get larger and scientific applications advance, it is more and more imperative to fully ...
It is desirable for general productivity that high-performance computing applications be portable to...