<p>The form to collect the data from the internal sensors and the hardware parameters, for each computational architecture, differ from each other. For this reason, it was developed a performance and power profiling tool based on different modules to collect these parameters, so that the hardware parameters and the internal sensors were collected in a more homogeneous way as possible. The tool was designed to address the need for fine-grained power profiling on parallel and distributed system and the need to correlate with performance profiling. The approach to monitor performance of applications consists of online monitoring and directly method. The tool was developed based on two different modules that enable profile both CPUs and GPUs us...
International audienceLarge-scale distributed systems (e.g., datacenters, HPC systems, clouds, large...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
Abstract—For more than a decade, the PAPI performance-monitoring library has provided a clear, porta...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
On the road to Exascale computing, both performance and power areas are meant to be tackled at diffe...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
GPUs has been widely used in scientific computing, as by offering exceptional performance as by powe...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
The design of embedded hardware/software systems is often underlying strict requirements concerning ...
Fine-grained program power behavior is useful in both evaluating power optimizations and observing p...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
Context: In the present world, there is an increase in the usage of com- munication services. The gr...
Abstract. The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HT...
International audienceLarge-scale distributed systems (e.g., datacenters, HPC systems, clouds, large...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
Abstract—For more than a decade, the PAPI performance-monitoring library has provided a clear, porta...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
On the road to Exascale computing, both performance and power areas are meant to be tackled at diffe...
Performance analysis tools allow application developers to identify and characterize the inefficienc...
GPUs has been widely used in scientific computing, as by offering exceptional performance as by powe...
Profiling and tuning of parallel applications is an essential part of HPC. Analysis and elimination ...
High Performance Computing (HPC) has become an indispensable tool for the scientific community to pe...
The design of embedded hardware/software systems is often underlying strict requirements concerning ...
Fine-grained program power behavior is useful in both evaluating power optimizations and observing p...
This paper introduces an infrastructure for efficiently collecting performance profiles from paralle...
Context: In the present world, there is an increase in the usage of com- munication services. The gr...
Abstract. The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HT...
International audienceLarge-scale distributed systems (e.g., datacenters, HPC systems, clouds, large...
The IPS-2 parallel program measurement tools pro-vide performance data from application programs, th...
Abstract—For more than a decade, the PAPI performance-monitoring library has provided a clear, porta...