Our research project intends to build knowledge about HPC problems to be able to help local researchers. In order to advise users in choosing parallel machines to run their applications, we want to establish a general methodology, requiring as shallow information as possible, to characterize parallel applications. To draw a profile of a closed, message-passing application, we look for convenient tools for inspection on the distribution of communication primitives. We show a feasible way to do black-box instrumentation of closed MPI applications.Presentado en el X Workshop Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI
It is desirable for general productivity that high-performance computing applications be portable to...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Abstract. In this paper, we analyze existing MPI benchmarking suites, focusing on two restrictions t...
Our research project intends to build knowledge about HPC problems to be able to help local research...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and improvement ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Portable parallel benchmarks are widely used for performance evaluation of HPC systems. However, bec...
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...
A considerably fraction of science discovery is nowadays relying on computer simulations. High Per...
The field of high-performance computing (HPC) has always dealt with the bleeding edge of computation...
In this paper we present a new technique for automatically measuring the performance of tasks, funct...
Developing an efficient parallel application is not an easy task, and achieving a good performance r...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
It is desirable for general productivity that high-performance computing applications be portable to...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Abstract. In this paper, we analyze existing MPI benchmarking suites, focusing on two restrictions t...
Our research project intends to build knowledge about HPC problems to be able to help local research...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and improvement ...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Portable parallel benchmarks are widely used for performance evaluation of HPC systems. However, bec...
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...
A considerably fraction of science discovery is nowadays relying on computer simulations. High Per...
The field of high-performance computing (HPC) has always dealt with the bleeding edge of computation...
In this paper we present a new technique for automatically measuring the performance of tasks, funct...
Developing an efficient parallel application is not an easy task, and achieving a good performance r...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
It is desirable for general productivity that high-performance computing applications be portable to...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
Abstract. In this paper, we analyze existing MPI benchmarking suites, focusing on two restrictions t...