This book provides techniques to tackle the design challenges raised by the increasing diversity and complexity of emerging, heterogeneous architectures for embedded systems. It describes an approach based on techniques from software engineering called aspect-oriented programming, which allow designers to control today's sophisticated design tool chains, while maintaining a single application source code. Readers are introduced to the basic concepts of an aspect-oriented, domain specific language that enables control of a wide range of compilation and synthesis tools in the partitioning and mapping of an application to a heterogeneous (and possibly multi-core) target architecture. Several examples are presented that illustrate the benefits of the approach developed for applications from avionics and digital signal processing. Using the aspect-oriented programming techniques presented in this book, developers can reuse extensive sections of their designs, while preserving the original application source-code, thus promoting developer productivity as well as architecture and performance portability. Describes an aspect-oriented approach for the compilation and synthesis of applications targeting heterogeneous embedded computing architectures. Includes examples using an integrated tool chain for compilation and synthesis. Provides validation and evaluation for targeted reconfigurable heterogeneous architectures. Enables design portability, given changing target devices* Allows developers to maintain a single application source code when targeting multiple architectures.

This book constitutes the proceedings of the 14th International Conference on Applied Reconfigurable Computing, ARC 2018, held in Santorini, Greece, in May 2018. The 29 full papers and 22 short presented in this volume were carefully reviewed and selected from 78 submissions. In addition, the volume contains 9 contributions from research projects. The papers were organized in topical sections named: machine learning and neural networks; FPGA-based design and CGRA optimizations; applications and surveys; fault-tolerance, security and communication architectures; reconfigurable and adaptive architectures; design methods and fast prototyping; FPGA-based design and applications; and special session: research projects.

This book provides techniques to tackle the design challenges raised by the increasing diversity and complexity of emerging, heterogeneous architectures for embedded systems. It describes an approach based on techniques from software engineering called aspect-oriented programming, which allow designers to control today's sophisticated design tool chains, while maintaining a single application source code. Readers are introduced to the basic concepts of an aspect-oriented, domain specific language that enables control of a wide range of compilation and synthesis tools in the partitioning and mapping of an application to a heterogeneous (and possibly multi-core) target architecture. Several examples are presented that illustrate the benefits of the approach developed for applications from avionics and digital signal processing. Using the aspect-oriented programming techniques presented in this book, developers can reuse extensive sections of their designs, while preserving the original application source-code, thus promoting developer productivity as well as architecture and performance portability. Describes an aspect-oriented approach for the compilation and synthesis of applications targeting heterogeneous embedded computing architectures. Includes examples using an integrated tool chain for compilation and synthesis. Provides validation and evaluation for targeted reconfigurable heterogeneous architectures. Enables design portability, given changing target devices* Allows developers to maintain a single application source code when targeting multiple 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.

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.

For manyyears, the idea of recon?gurablehardwaresystems hasrepresentedthe Holy Grail for computer systemdesigners.It has been recognizedfor a long time that the microprocessor provides high ?exibility but at a very low performance merit in terms of MIPS/W or other such measures. Recon?gurable systems are thus attractive as they can be con?gured to provide the best match for the computational requirements at that speci?c time, giving much better area - speed - power performance. However, the practicalities of achieving such a recon?gurable system are - merous andrequirethe developmentof: suitable recon?gurablehardwareto s- portthe dynamicbehavior;programmingtoolsto allowthe dynamicbehavior of the recon?gurability to be modelled; programming languages to support rec- ?guration;andveri?cationtechniquesthatcandemonstratethatrecon?guration hashappenedcorrectlyateachstage.Whiletheproblemsaremany, theexistence and development of technologies such as the multi-core processor architecture, recon?gurable computing architectures, and application-speci?c processors s- gest there is a strong desire for recon?gurable systems. Moreover, FPGAs also provide the ideal platforms for the development of such platforms. The major motivation behind the International Workshop on Applied - con?gurable Computing (ARC) series is to create a forum for presenting and discussing on-going research e?orts in applied recon?gurable computing. The workshop also focuses on compiler and mapping techniques, and new recon- urablecomputingarchitectures.Theseriesofeditionsstartedin2005inAlgarve, Portugal, followed by the 2006 workshop in Delft, The Netherlands, and last year's workshop in Mangaratiba, Rio de Janeiro, Brazil. As in previous years, selectedpapershavebeenpublished asa SpringerLNCS(LectureNotes in C- puter Science) volume.

This book constitutes the refereed proceedings of the Third International Workshop on Applied Reconfigurable Computing, ARC 2007, held in Mangaratiba, Brazil, in March 2007.

The 27 full papers and 10 short papers presented together with a late-comer contribution from ARC 2006 were thoroughly reviewed and selected from 72 submissions. The papers are organized in topical sections on architectures, mapping techniques and tools, arithmetic, and applications.

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems.

This book constitutes the proceedings of the 17th International Symposium on Applied Reconfigurable Computing, ARC 2021, held as a virtual event, in June 2021. The 14 full papers and 11 short presentations presented in this volume were carefully reviewed and selected from 40 submissions. The papers cover a broad spectrum of applications of reconfigurable computing, from driving assistance, data and graph processing acceleration, computer security to the societal relevant topic of supporting early diagnosis of Covid infectious conditions.

This book constitutes the refereed proceedings of the 11th International Symposium on Applied Reconfigurable Computing, ARC 2015, held in Bochum, Germany, in April 2015. The 23 full papers and 20 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They are organized in topical headings named: architecture and modeling; tools and compilers; systems and applications; network-on-a-chip; cryptography applications; extended abstracts of posters. In addition, the book contains invited papers on funded R&D - running and completed projects and Horizon 2020 funded projects.