HPC systems are notorious for operating at a small fraction of their peak performance, and the ongoing migration to multi-core and multi-socket compute nodes further increases the already high complexity of performance optimization. The readily available performance evaluation tools require considerable effort to learn and utilize. Hence, most HPC application writers do not use them. As remedy, we have developed PerfExpert, a tool that combines a simple user interface with a sophisticated engine to automatically detect probable core, socket, and node-level performance bottle-necks in each important procedure and loop. For each bottleneck, PerfExpert provides a concise performance assessment and sug-gests steps that can be taken by the appli...
HPC systems and parallel applications are increasing their complexity. Therefore the possibility of ...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-96983-1_10Des...
A method is presented for modeling application performance on parallel computers in terms of the per...
Performance modeling, the science of understanding and predicting application performance, is import...
Many existing applications suffer from inherent scalability limitations that will prevent them from ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
Performance measurement and analysis of parallel applications is often challenging, despite many exc...
One key to improving high performance computing (HPC) productivity is to find better ways to measure...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
Contemporary High Performance Computing (HPC) applications can exhibit unacceptably high overheads w...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
Although it is increasingly difficult for large scientific programs to attain a significant fraction...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
HPC systems and parallel applications are increasing their complexity. Therefore the possibility of ...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-96983-1_10Des...
A method is presented for modeling application performance on parallel computers in terms of the per...
Performance modeling, the science of understanding and predicting application performance, is import...
Many existing applications suffer from inherent scalability limitations that will prevent them from ...
HPC applications are often very complex and their behavior depends on a wide range of factors from a...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
Performance measurement and analysis of parallel applications is often challenging, despite many exc...
One key to improving high performance computing (HPC) productivity is to find better ways to measure...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
High-performance computing systems have become increasingly dynamic, complex, and unpredictable. To ...
Contemporary High Performance Computing (HPC) applications can exhibit unacceptably high overheads w...
The complexity of modern High-Performance-Computing systems impose great challenges on running paral...
Although it is increasingly difficult for large scientific programs to attain a significant fraction...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
HPC systems and parallel applications are increasing their complexity. Therefore the possibility of ...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-96983-1_10Des...
A method is presented for modeling application performance on parallel computers in terms of the per...