The development of complex applications involving signal, image and control processing, 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 the intense pressure on design cycle and strict performance constraints. The approach, called Algorithm–Architecture–Matching aims to leverage the design flow by a simultaneous study of both algorithmic and architectural issues, taking into account multiple design constraints, as well as algorithm and architecture optimizations.<br>Introducing new design methodologies is necessary when facing the new emerging applications as, for example advanced mobile communication systems or smart sensors based systems. This forms a driving force for the future evolutions of embedded system designs methodologies. The research community in Europe addressing these issues is very active both in academy and industry. The goals of this workshop are to present the latest results in the domain of design and architecture for signal and image processing and to initiate a regular meeting of European researchers addressing this topic.<br>The DASIP Workshop will give the opportunity for researchers to exchange the ideas and to build the collaboration on emerging topics and technologies. It also aims to strength the links between the European Information Society Technologies (IST) priorities and the researchers in the domain of design and architecture for signal and image processing.<br><b>Keywords:</b> Methods and tools for Algorithm–Architecture–Matching<br>System level design and hardware/software codesign<br>RTOS for embedded systems<br>Formal models and transformations<br>Algorithm transformations and metrics<br>Communication synthesis<br>Architectural and logic synthesis<br>Design verification, fault tolerance<br>Performance analysis and estimations<br>Rapid system prototyping, embedded software<br>Embedded system security<br>New and emerging architectures and technologies<br>SoC and MPSoC<br>Reconfigurable ASIP<br>FPGA, dynamic reconfigurable systems<br>Asynchronous circuits (self–timed)<br>Analog circuits and mixed–signal circuits<br>Biologically based or biologically inspired systems<br>MEMS, bioMEMS<br>Nano–technologies, quantum computing<br>Smart sensors<br>Vision and audio sensor<br>Fingerprint sensor, biosensor<br>Structurally–embedded sensor<br>Sensing requirements for active control systems<br>Distributed and multiplexed sensors, sensors network<br>Adaptive sensor, evolutionary sensor<br>Sensor for health monitoring<br>Sensor system monitoring<br>Environmental monitoring<br>Applications<br>Embedded systems for automotive<br>Embedded systems for health<br>Embedded platforms for multimedia and telecom<br>Analog mixed–signal design challenge<br>Ambient intelligence, ubiquitous computing<br>Wearable computing,<br>Handheld devices (smart cameras, PDAs, GPSs)<br>Security systems, cryptography<br>Object recognition and tracking<br>
Abbrevation
DASIP
City
Grenoble
Country
France
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