Performance counters allow for the benchmarking of HPX, the C++-based runtime system by which ParalleX is implemented. They function as an internal diagnostic tool in the development of HPX source code, because they expose the quantitative behavior of the system during or after execution of user applications. Performance counters are written into HPX runtime source code, and any time-dependent data collected during execution of a user application is done using an HPX application titled “Heartbeat”
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very prec...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
implementation of ParalleX, a new model of computation targeting future generation of High Performan...
The HPC service at CERN provides linux batch infrastructure to run high performance computing appli...
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...
With High Performance Computing moving towards Exascale, where parallel applications will be require...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
With the increasing scale and complexity of large computing systems the effort of performance optimi...
Abstract. Many tools and libraries employ hardware performance monitoring (HPM) on modern processors...
Hardware performance counters are CPU registers that count data loads and stores, cache misses, and ...
A new approach to monitoring the runtime behaviour of parallel programs will be presented. Our appro...
The purpose of the PAPI project is to specify a standard application programming interface (API) for...
Performance assertion checking is an approach to automating the testing of performance properties of...
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very prec...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
implementation of ParalleX, a new model of computation targeting future generation of High Performan...
The HPC service at CERN provides linux batch infrastructure to run high performance computing appli...
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...
With High Performance Computing moving towards Exascale, where parallel applications will be require...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
With the increasing scale and complexity of large computing systems the effort of performance optimi...
Abstract. Many tools and libraries employ hardware performance monitoring (HPM) on modern processors...
Hardware performance counters are CPU registers that count data loads and stores, cache misses, and ...
A new approach to monitoring the runtime behaviour of parallel programs will be presented. Our appro...
The purpose of the PAPI project is to specify a standard application programming interface (API) for...
Performance assertion checking is an approach to automating the testing of performance properties of...
We introduce the usage of hardware performance counters (HPCs) as a new method that allows very prec...
This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on th...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...