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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. Focuses on maximizing performance while managing energy consumption in embedded systems Explains how to retarget code for heterogeneous systems with GPUs and FPGAs Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems Includes downloadable slides, tools, and tutorials

Embedded computer systems. --- High performance computing. --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- HPC (Computer science) --- Electronic data processing --- Cyberinfrastructure --- Supercomputers

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Computer architecture. Operating systems --- Computer. Automation --- hardware --- software engineering --- computernetwerken --- architectuur (informatica)

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Recon?gurable computing platforms have been gaining wide acceptance, sp- ning a wide spectrum from highly specialized custom controllers to gener- purpose high-end computing systems. They o?er the promise of increasing performance gains by exploiting coarse-grain as well as ?ne-grain instruction level parallelism opportunities given their ability to implement custom fu- tional,storageandinterconnectstructures.Withthecontinuousincreaseinte- nology integration, leading to devices with millions of logic gates, ready to be programmed according to the (run-time) application needs, it is now possible to implement verysophisticatedandrecon?gurablesystems.Con?gurabilityis seen as a key technology for substantial product life-cycle savings in the presence of evolving product requirements and/or interfaces or standards.The extreme c- ?gurability and ?exibility also makes recon?gurable architectures the medium of choice for very rapid system prototyping or early design veri?cation. The relentless capacity growth of recon?gurable devices, such as FPGAs (Field-Programmable Gate Arrays), is creating a wealth of new opportunities and increasingly complex challenges. Recent generation devices have hetero- neousinternalresourcessuchashardwaremultiplier units andmemoryblocksin additiontoavastamountof?negrainlogiccells.Takingadvantageofthewealth of resources in today's con?gurable devices is a very challenging problem. - thoughtheinclusionofFPGAsinmainstreamcomputing productsclearlyshows that this technology is maturing, many aspects still require substantial research to e?ectively deliver the promise of this emerging technology. A major motivation for the InternationalApplied Recon?gurable Computing 1 (ARC) workshop series is to provide a forum for presentation and discussion of on-goingresearche?orts,aswellasmoreelaborated,interestingandhigh-quality work, on applied recon?gurable computing. The workshop also focuses on c- piler and mapping techniques, and new recon?gurable computing architectures.

Programming --- Computer architecture. Operating systems --- informatica --- computerbesturingssystemen --- hardware --- programmeren (informatica) --- computernetwerken --- architectuur (informatica)