This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the community-developed Score-P instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI, OpenMP, hybrid combination of both, and increasingly common usage of accelerators. Parallel performance tools from the Virtual Institute – High Productivity Supercomputing (VI-HPS) are introduced and featured in demonstrations with Scalasca, Vampir, and TAU. We present the complete workflow of performance engineering, including instrumentation, measurement (profiling and tracing, timing and PAPI hardware counters), data storage, analysis, and vi...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
While parallel applications in all scientific and engineering domains have always been prone to exec...
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...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Parallel Performance Engineering This segment of the tutorial presents techniques for performance e...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
Developers are challenged to improve the reliability, performance and scalability of their applicati...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Performance modeling, the science of understanding and predicting application performance, is import...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
While parallel applications in all scientific and engineering domains have always been prone to exec...
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...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Parallel Performance Engineering This segment of the tutorial presents techniques for performance e...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
Developers are challenged to improve the reliability, performance and scalability of their applicati...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Performance modeling, the science of understanding and predicting application performance, is import...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
Modern parallel systems and applications are constantly increasing in scale and complexity, and cons...
While parallel applications in all scientific and engineering domains have always been prone to exec...