Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware components. If the user’s application is not represented by any benchmark, it is not possible to obtain an equivalent performance metric. In this work, we propose a benchmark based on the signature of an MPI application obtained by the PAS2P method. PAS2P creates the application signature in order to predict the execution time, which we believe will be very adjusted in relation to the execution time of the full application. The signature has two performance qualities: the bounded time to execute it (a benchmark property) an...
Progress in the parallel programming field has allowed scientific applications to be developed with ...
Performance predictions for large problem sizes and processors using limited small scale runs are us...
Performance predictions for large problem sizes and processors using limited small scale runs are us...
Currently, there are benchmark sets that measure the performance of HPC systems under specific compu...
Currently, there are benchmark sets that measure the performance of HPC systems under specific compu...
AbstractAnalyzing and predicting performance in parallel applications is a great challenge for scien...
Altres ajuts: acord transformatiu CRUE-CSICThe analysis of parallel scientific applications allows u...
Performance modeling, the science of understanding and predicting application performance, is import...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance prediction and application behavior modeling have been the subject of exten- sive resear...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
Abstract—Performance predictions for large problem sizes and processors using limited small scale ru...
Progress in the parallel programming field has allowed scientific applications to be developed with ...
Performance predictions for large problem sizes and processors using limited small scale runs are us...
Performance predictions for large problem sizes and processors using limited small scale runs are us...
Currently, there are benchmark sets that measure the performance of HPC systems under specific compu...
Currently, there are benchmark sets that measure the performance of HPC systems under specific compu...
AbstractAnalyzing and predicting performance in parallel applications is a great challenge for scien...
Altres ajuts: acord transformatiu CRUE-CSICThe analysis of parallel scientific applications allows u...
Performance modeling, the science of understanding and predicting application performance, is import...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
Performance prediction and application behavior modeling have been the subject of exten- sive resear...
Advances in digital computers have been spectacular but increasingly complex to model. Even the cycl...
Abstract—Performance predictions for large problem sizes and processors using limited small scale ru...
Progress in the parallel programming field has allowed scientific applications to be developed with ...
Performance predictions for large problem sizes and processors using limited small scale runs are us...
Performance predictions for large problem sizes and processors using limited small scale runs are us...