Embedded computing for high performance : design exploration and customization using high-level compilation and synthesis tools / / Joao Manuel Paiva Cardoso, Jose Gabriel de Figueiredo Coutinho, Pedro C. Diniz
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| Autore: |
Cardoso Joao Manuel Paiva
|
| Titolo: |
Embedded computing for high performance : design exploration and customization using high-level compilation and synthesis tools / / Joao Manuel Paiva Cardoso, Jose Gabriel de Figueiredo Coutinho, Pedro C. Diniz
|
| Pubblicazione: | Cambridge, Massachusetts : , : Morgan Kaufmann, , 2017 |
| ©2017 | |
| Edizione: | Second edition. |
| Descrizione fisica: | 1 online resource (322 pages) : illustrations |
| Disciplina: | 004.16 |
| Soggetto topico: | Embedded computer systems |
| High performance computing | |
| Persona (resp. second.): | CoutinhoJosé Gabriel de Figueiredo |
| DinizPedro C. | |
| Note generali: | Includes index. |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Sommario/riassunto: | 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 |
| Titolo autorizzato: | Embedded computing for high performance |
| ISBN: | 0-12-804199-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910583050303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |