Advances in signal and image processing together with increasing
computing power are bringing mobile technology closer to
applications in a variety of domains like automotive, health,
telecommunication, multimedia, entertainment and many others. The
development of these leading applications, involving a large
diversity of algorithms (e.g. signal, image, video, 3D,
communication, cryptography) is classically divided into three
consecutive steps: a theoretical study of the algorithms, a study
of the target architecture, and finally the implementation. Such a
linear design flow is reaching its limits due to intense pressure
on design cycle and strict performance constraints. The approach,
called Algorithm-Architecture Matching, aims to leverage design
flows with a simultaneous study of both algorithmic and
architectural issues, taking into account multiple design
constraints, as well as algorithm and architecture optimizations,
that couldn't be achieved otherwise if considered separately.
Introducing new design methodologies is mandatory when facing the
new emerging applications as for example advanced mobile
communication or graphics using sub-micron manufacturing
technologies or 3D-Integrated Circuits. This diversity forms a
driving force for the future evolutions of embedded system designs
methodologies.
The main expectations from system designers' point of view are
related to methods, tools and architectures supporting application
complexity and design cycle reduction. Advanced optimizations are
essential to meet design constraints and to enable a wide
acceptance of these new technologies.
"Algorithm-Architecture Matching for Signal and Image
Processing" presents a collection of selected contributions from
both industry and academia, addressing different aspects of
Algorithm-Architecture Matching approach ranging from sensors to
architectures design. The scope of this book reflects the diversity
of potential algorithms, including signal, communication, image,
video, 3D-Graphics implemented onto various architectures from FPGA
to multiprocessor systems. Several synthesis and resource
management techniques leveraging design optimizations are also
described and applied to numerous algorithms.
"Algorithm-Architecture Matching for Signal and Image
Processing" should be on each designer's and EDA tool developer's
shelf, as well as on those with an interest in digital system
design optimizations dealing with advanced algorithms.
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