Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment
Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 11/12 Gabriela Narutowicza Street, 80-233 Gdansk, Poland
Applications of Information Systems in Engineering and Bioscience (SEPADS 2014), 2014
@article{bultrowicz2014runtime,
title={Runtime Visualization of Application Progress and Monitoring of a GPU-enabled Parallel Environment},
author={Bultrowicz, Szymon and Czarnul, Pawel and Rosciszewski, Pawel},
year={2014}
}
The paper presents design, implementation and real life uses of a visualization subsystem for a distributed framework for parallelization of work-flow-based computations among clusters with nodes that feature both CPUs and GPUs. Firstly, the proposed system presents a graphical view of the infrastructure with clusters, nodes and compute devices along with parameters and runtime graphs of load, memory available, fan speeds etc. Secondly, it depicts execution progress of particular workflow nodes that correspond to parallel computations realized by OpenCL kernels. States of workflow nodes such as ready, running, executed are shown with colors. Thirdly, the system allows the programmer to provide code that visualizes physical representation of the application executed at runtime. The visualization code is intentionally separated from the computational kernels in OpenCL. The benefits of the proposed system are demonstrated for a parallel numerical integration code executed on both CPUs and GPUs.
June 23, 2014 by hgpu
