Developers are challenged to improve the reliability, performance and scalability of their applications on computer systems with increasingly large numbers of processors and cores, requiring ever more parallelism and efficiency with many processes and threads of execution. Use of appropriate tools can greatly assist productivity of both developers and computer systems, and is the founding motivation for the Virtual Institute High Productivity Supercomputing (VI-HPS). This full-day tutorial will give an overview and introduction to tools covering execution monitoring, correctness checking, and performance analysis of parallel applications at large to extreme scale. Primary focus is presenting and demonstrating tools provided on the VI-HPS Li...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
One key to improving high performance computing (HPC) productivity is to find better ways to measure...
To efficiently use the available parallelism in today's HPC systems, analyzing the performance of ap...
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...
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...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
While parallel applications in all scientific and engineering domains have always been prone to exec...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
There is a variety of tools to measure the performance of Linux systems and the applications running...
Performance measurement and analysis of parallel applications is often challenging, despite many exc...
Operating systems have historically been implemented as independent layers between hardware and appl...
As machines get larger and scientific applications advance, it is more and more imperative to fully ...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
One key to improving high performance computing (HPC) productivity is to find better ways to measure...
To efficiently use the available parallelism in today's HPC systems, analyzing the performance of ap...
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...
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...
HPC application developers encounter significant challenges getting their codes to run correctly on ...
While parallel applications in all scientific and engineering domains have always been prone to exec...
Current large-scale HPC systems consist of complex configurations with a huge number of potentially ...
Current advances in High Performance Computing (HPC) increasingly impact efficient software developm...
There is a variety of tools to measure the performance of Linux systems and the applications running...
Performance measurement and analysis of parallel applications is often challenging, despite many exc...
Operating systems have historically been implemented as independent layers between hardware and appl...
As machines get larger and scientific applications advance, it is more and more imperative to fully ...
The purpose of this project was to build an extensible cross-platform infrastructure to facilitate t...
One key to improving high performance computing (HPC) productivity is to find better ways to measure...
To efficiently use the available parallelism in today's HPC systems, analyzing the performance of ap...