Techniques for Optimizing Multiprocessor Implementations of Signal Processing
Applications An indispensable component of the information age, signal processing is …

With domain-specific models of computation and widely-used hardware acceleration
techniques, hardware/software codesign has the potential of being as agile as traditional …

In order to achieve performance gains in the software, computers have evolvedto multi-core
and many-core platforms abounding with multiple processor cores. However the problem of …

The automotive industry has recently emphasized reducing the number of Electronic Control
Units (ECUs) installed in vehicles for economic and ecological reasons. This reduction …

Intensive signal processing applications appear in many application domains such as video
processing or detection systems. These applications handle multidimensional data …

In several application domains (detection systems, telecommunications, video processing,
etc.) the applications deal with multidimensional data. These applications are usually …

In this article, we rethink the dataflow processing paradigm to a higher level of abstraction to
automate the generation of multi-instance compute and memory platforms with interfaces to …

Hardware synthesis from dataflow graphs of signal processing systems is a growing
research area as focus shifts to high level design methodologies. For data intensive …

Processing large images in real time requires effective image processing algorithms as well
as efficient software design and implementation to take full advantage of all CPU cores and …

High computational effort in modern image processing applications like medical imaging or
high-resolution video processing often demands for massively parallel special purpose …