DocumentCode
2764864
Title
High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications
Author
Hackenberg, Daniel ; Juckeland, Guido ; Brunst, Holger
Author_Institution
Center for Inf. Services & High Performance Comput. (ZIH), Tech. Univ. Dresden, Dresden, Germany
fYear
2010
fDate
17-20 May 2010
Firstpage
786
Lastpage
791
Abstract
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.
Keywords
application program interfaces; data analysis; data visualisation; multiprocessing systems; parallel programming; IBM Cell processor; NVIDIA CUDA API; application program interfaces; computer unified device architecture; graphical program flow analysis; hardware accelerators; hybrid multicore applications; multicore processors; parallel computing techniques; program flow visualization; software development; CUDA; Cell/BE; GPU; MPI; event logging; many-core; monitoring; multi-core; performance visualization; tracing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-6987-1
Type
conf
DOI
10.1109/CCGRID.2010.27
Filename
5493388
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