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
Link To Document :
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