The complexity of modern High-Performance-Computing systems impose great challenges on running parallel applications efficiently on them. Performance analysis is therefore a key issue to identify bottlenecks and efficiency problems in HPC applications in order to improve and optimize the performance of these applications. We start with an overview of different performance problems whichfrequently occur in parallel applications and give an introductions to the concepts of performance analysis. In the second part we will discuss selected performance analysis tools in more detail and show how to use them in order to identify bottlenecks
Performance analysis tools allow application developers to identify and characterize the inefficienc...
Performance modeling, the science of understanding and predicting application performance, is import...
HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and pre...
The complexity of modern High-Performance-Computing systems impose greatchallenges on running parall...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
HPC systems and parallel applications are increasing their complexity. Therefore the possibility of ...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Programming parallel computers for performance is a difficult task that requires careful attention t...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Tuning and debugging the performance of parallel applications is an iterative process consisting of ...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
Performance modeling, the science of understanding and predicting application performance, is import...
HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and pre...
The complexity of modern High-Performance-Computing systems impose greatchallenges on running parall...
Achieving a significant fraction of peak performance on a modern high-performance computer is a chal...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
HPC systems and parallel applications are increasing their complexity. Therefore the possibility of ...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scien...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Programming parallel computers for performance is a difficult task that requires careful attention t...
Performance analysis tools are essential to the maintenance of efficient parallel execution of scie...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
Tuning and debugging the performance of parallel applications is an iterative process consisting of ...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
Performance modeling, the science of understanding and predicting application performance, is import...
HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and pre...