The key notion for modelling calendar systems and many other periodic temporal notion is the mathematical concept of a partitioning of the real numbers. A partitioning of R splits the time axis into a sequence of intervals. Basic time units like seconds, minutes, hours, days, weeks, months, years etc. can all be represented by partitionings of R with finite partitions. Besides the basic time un...

In these days, many dynamically reconfigurable architectures have been introduced to fill the gap between ASICs and softwareprogrammed processors such as GPPs and DSPs. These reconfigurable architectures have shown to achieve higher performance compared to software-programmed processors. However, reconfigurable architectures suffer from a significant reconfiguration overhead and a speedup limit...

We provide in this thesis our contribution in the area of reconfigurable system synthesis. We consider reconfigurable systems constructed from one or more general purpose processors (GPP) and a set of reconfigurable processing units (RPU). Given an application to be implemented on this architecture, a hardware/software partitioning step is used to differentiate between the part of the applicati...

Spatial partitioning is commonly used for parallel simulation of spatial–temporal systems, such as simulations of wildfires. Achieving effective spatial partitioning is a challenging task due to the dynamic behavior of the simulation models. This paper presents a partitioning method named profile-based spatial partitioning for parallel simulation of large scale wildfires. The profile-based part...

In this paper, we present a novel temporal partitioning methodology for dynamically reconfigurable computing systems to reduce the communication costs of the design. This aim can be reached by minimizing the transfer of data required between design partitions. Our algorithm use the network flow-based multi-way task partitioning algorithm to minimize communication costs for temporal partitioning...