João M.P. Cardoso – författare

The extreme ?exibility of recon?gurable architectures and their performance pot- tial have made them a vehicle of choice in a wide range of computing domains, from rapid circuit prototyping to high-performance computing. The increasing availab- ity of transistors on a die has allowed the emergence of recon?gurable architectures with a large number of computing resources and interconnection topologies. To - ploit the potential of these recon?gurable architectures, programmers are forced to map their applications, typically written in high-level imperative programming l- guages, such as C or MATLAB, to hardware-oriented languages such as VHDL or Verilog. In this process, they must assume the role of hardware designers and software programmers and navigate a maze of program transformations, mapping, and synthesis steps to produce ef?cient recon?gurable computing implementations. The richness and sophistication of any of these application mapping steps make the mapping of computations to these architectures an increasingly daunting process. It is thus widely believed that automatic compilation from high-level programming languages is the key to the success of recon?gurable computing. This book describes a wide range of code transformations and mapping te- niques for programs described in high-level programming languages, most - tably imperative languages, to recon?gurable architectures.

The extreme ?exibility of recon?gurable architectures and their performance pot- tial have made them a vehicle of choice in a wide range of computing domains, from rapid circuit prototyping to high-performance computing. The increasing availab- ity of transistors on a die has allowed the emergence of recon?gurable architectures with a large number of computing resources and interconnection topologies. To - ploit the potential of these recon?gurable architectures, programmers are forced to map their applications, typically written in high-level imperative programming l- guages, such as C or MATLAB, to hardware-oriented languages such as VHDL or Verilog. In this process, they must assume the role of hardware designers and software programmers and navigate a maze of program transformations, mapping, and synthesis steps to produce ef?cient recon?gurable computing implementations. The richness and sophistication of any of these application mapping steps make the mapping of computations to these architectures an increasingly daunting process. It is thus widely believed that automatic compilation from high-level programming languages is the key to the success of recon?gurable computing. This book describes a wide range of code transformations and mapping te- niques for programs described in high-level programming languages, most - tably imperative languages, to recon?gurable architectures.

This book constitutes the thoroughly refereed conference proceedings of the 10th International Symposium on Reconfigurable Computing: Architectures, Tools and Applications, ARC 2014, held in Vilamoura, Portugal, in April 2014.

This book constitutes theproceedings of the 29th International Conference on Architecture of ComputingSystems, ARCS 2016, held in Nuremberg, Germany, in April 2016. The 29 full papers presented in this volume werecarefully reviewed and selected from 87 submissions.network-on-chip and secure computing architectures; organic computing systems;

1 The International Workshop on Recon?gurable Computing (ARC) started in 2005 in Algarve, Portugal. The major motivation was to create an event where on-going research e?orts as well as more elaborated, interesting and hi- quality work on applied recon?gurable computing could be presented and d- cussed. Over the last couple of years recon?gurable computing has become a we- known and established research area producing interesting as well as important results in both general and embedded computing systems. It is also getting more and more interest from industry which is attracted by the (design and development) ?exibility as well as the performance improvements that can be expected from this technology. As recon?gurablecomputing has blurred the gap between software and hardware, some even speak of a radical new programming paradigm opening a new realm of unseen applications and opportunities. The logo of the ARC workshop is the Nonius, a measurement instrument used in the Portuguese period of discoveries that was invented by Pedro Nunes, a Portuguesemathematician. As the logo suggests,the main motto of ARC is to help to navigate the world of recon?gurable computing. Driven by this motto, we hope ARC contributes to solid advances on recon?gurable computing.