(Enter summary)
Abstract: Data-parallel Digital Signal Processors: Algorithm Mapping, Architecture Scaling and
Workload Adaptation
by
Sridhar Rajagopal
Emerging applications such as high definition television (HDTV), streaming video, image
processing in embedded applications and signal processing in high-speed wireless communications
are driving a need for high performance digital signal processors (DSPs) with
real-time processing. This class of applications demonstrates significant data parallelism,
finite... (Update)
Cited by: More
Design Space Exploration for Real-Time Embedded Stream - Processors Sridhar Rajagopal
(Correct)
Active bibliography (related documents): More All
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2.2: Reconfigurable Stream Processors for Wireless Base-Stations - Sridhar Rajagopal Sridhar (2003)
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1.5: Real-Time Algorithms and Architectures for.. - Rajagopal.. (2002)
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BibTeX entry: (Update)
S. Rajagopal. Data-parallel Digital Signal Processors: Algorithm mapping, Architecture scaling and Workload adaptation. PhD thesis, Rice University, Houston, TX, January 2004. http://citeseer.ist.psu.edu/rajagopal04dataparallel.html More
@misc{ rajagopal04dataparallel,
author = "S. Rajagopal",
title = "Data-parallel Digital Signal Processors: Algorithm mapping",
text = "S. Rajagopal. Data-parallel Digital Signal Processors: Algorithm mapping,
Architecture scaling and Workload adaptation. PhD thesis, Rice University,
Houston, TX, January 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/rajagopal04dataparallel.html" }
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