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2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications
Melbourne, VIC, Australia
May 17-May 20
ISBN: 978-0-7695-4039-9
ASCII Text
x 
 
Daniel Hackenberg, Guido Juckeland, Holger Brunst, "High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications," Cluster Computing and the Grid, IEEE International Symposium on, pp. 786-791, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010.
 
 
BibTex
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@article{ 10.1109/CCGRID.2010.27,
author = {Daniel Hackenberg and Guido Juckeland and Holger Brunst},
title = {High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {0},
year = {2010},
isbn = {978-0-7695-4039-9},
pages = {786-791},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2010.27},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications
SN - 978-0-7695-4039-9
SP786
EP791
A1 - Daniel Hackenberg,
A1 - Guido Juckeland,
A1 - Holger Brunst,
PY - 2010
KW - event logging
KW - tracing
KW - monitoring
KW - multi-core
KW - many-core
KW - Cell/BE
KW - GPU
KW - CUDA
KW - MPI
KW - performance visualization
VL - 0
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
The advent of multi-core processors has made parallel computing techniques mandatory on main stream systems. With the recent rise of hardware accelerators, hybrid parallelism adds yet another dimension of complexity to the process of software development. This article presents a tool for graphical program flow analysis of hardware accelerated parallel programs. It monitors the hybrid program execution to record and visualize many performance relevant events along the way. Representative real-world applications written for both IBM’s Cell processor and NVIDIA’s CUDA API are studied exemplarily. To the best of our knowledge, this approach is the first that visualizes the parallelism in hybrid multi-core systems at the presented level of detail.
Index Terms:
event logging, tracing, monitoring, multi-core, many-core, Cell/BE, GPU, CUDA, MPI, performance visualization
Citation:
Daniel Hackenberg, Guido Juckeland, Holger Brunst, "High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications," ccgrid, pp.786-791, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010
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