General Topics for ERSA'05
==========================

The topics of interest include, but are not limited to:


1. Theory, Mapping and Parallelization.
	o Theoretical models of computing in space-time and adaptive 
	  computing. 
	o Mapping algorithms into hardware and synthesis of regular arrays.  
	o Parallelization and (space-time) partitioning of algorithms. 
	o System architectures using configurable computing platform.    
	o Newly developed algorithms for efficient implementation on 
	  reconfigurable systems. 


2. Software, CAD and Operating Systems.
	o CAD, specification, partitioning and verification. 
	o High-level synthesis, hardware compilation, hardware/software 
	  codesign, developing correct circuits. 
	o High and low-level languages and compilers, design environments, 
	  Java-based environments.  
	o Operating systems and run-time reconfiguring, intelligent 
	  libraries.  
	o IP-based and object oriented models and mapping methods.  


3. Adaptive Hardware Architectures.
	o Adaptive and dynamically reconfigurable systems.  
	o Reconfigurable processor architectures, fine and coarse-grained 
	  processor arrays. 
	o Complex systems using reconfigurable processors. 
	o Application-tailored reconfigurable Systems-on-Chip. 
	o Low power systems on reconfigurable platform.  


4. Applications.
	o Wireless communication systems --- 
  	  mobile communication systems, video-phone, software radio,  
  	  global positioning systems etc. 
  
	o Multimedia and virtual reality ---  
 	  video imaging, teleconferencing, data compression, 
 	  image databases, computational geometry and  computer 
 	  graphics etc.

	o Space-based applications --- 
	  reconfigurable systems for remote processors, space 
	  telescope systems, satellite networks etc,   
	  tradeoffs between on-board and ground-based processing, 
	  radiation effects mitigation, fault tolerance and reliability.
	  
	o Numeric processing --- 
	  floating point operations, fixed and floating point tradeoffs, 
	  residue number systems, customizable libraries, solving complex 
	  mathematical problems (linear algebra, PDEs etc.), supercomputing 
	  experiences etc.

	o Automotive industry ---  
	  vehicle guidance, lane  and obstacle detection, object 
	  recognition, traffic systems, navigation of robots etc.  

	o Security systems --- 
	  object recognition and tracking, cryptology, 
	  Internet and security etc.  

	o Classical image and signal processing --- 
	  digital filters, edge and line detection, morphological 
	  operators, motion and stereo estimation, discrete 
	  transformations, linear algebra, radar systems, object 
	  recognition etc.