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Opis

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 systemsExplains how to retarget code for heterogeneous systems with GPUs and FPGAsDemonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systemsIncludes downloadable slides, tools, and tutorials

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer hardware Embedded systems

• Pełny tytuł: Embedded Computing for High Performance
• Podtytuł: Efficient Mapping of Computations Using Customization, Code Transformations and Compilation
• Autor: Jo?o Cardoso, José Gabriel F. Coutinho, Pedro C. Diniz
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 320
• EAN: 9780128041895
• ISBN: 0128041897
• ID: 14530580
• Wydawca: Elsevier Science & Technology
• Waga: 664 g
• Wymiary: 192 × 234 × 18 mm
• Data wydania: 15. June 2017

Ulubione w innej kategorii

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