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 hands-on exercises with Score-P, 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, ana...
Performance modeling, the science of understanding and predicting application performance, is import...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
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...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
Parallel Performance Engineering This segment of the tutorial presents techniques for performance e...
Developers are challenged to improve the reliability, performance and scalability of their applicati...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling...
Performance modeling, the science of understanding and predicting application performance, is import...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
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...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
Parallel Performance Engineering This segment of the tutorial presents techniques for performance e...
Developers are challenged to improve the reliability, performance and scalability of their applicati...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
Scalasca is a software tool that supports the performance optimization of parallel programs by measu...
Simulations on HPC systems have become an indispensable key technology in modern science and enginee...
Efficiently utilizing the computational resources of today's HPC systems is a non-trivial task. For...
The Score-P measurement infrastructure is a highly scalable and easy-to-use tool suite for profiling...
Performance modeling, the science of understanding and predicting application performance, is import...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...