DocumentCode :
1723320
Title :
A high level mixed hardware/software modeling framework for rapid performance estimation
Author :
Kriegel, Joffrey ; Pegatoquet, Alain ; Auguin, Michel ; Broekaert, Florian
Author_Institution :
Thales Commun., Univ. of Nice Sophia-Antipolis, Nice, France
fYear :
2012
Firstpage :
233
Lastpage :
236
Abstract :
This paper presents a high level mixed hardware/-software modeling framework for rapid performance estimation. Our approach deals with both mono-processor and multi-threaded application for multi-core processors. Mechanisms such as parallelism and preemption are handled to simulate the correct behavior of the architecture. Obtained results show an error margin of less than 20% of estimation performance for several applications running on different hardware platforms.
Keywords :
hardware-software codesign; multi-threading; multiprocessing systems; performance evaluation; high level mixed hardware/software modeling framework; mono-processor; multicore processors; multithreaded application; rapid performance estimation; Computational modeling; Computer architecture; Decoding; Estimation; Hardware; Program processors; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2012 IEEE 10th International
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0857-1
Electronic_ISBN :
978-1-4673-0858-8
Type :
conf
DOI :
10.1109/NEWCAS.2012.6328999
Filename :
6328999
Link To Document :
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