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| 008 | 160617s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319264080 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aTK7895.G36 _bF643 2016 |
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| 082 | 0 | 4 | _a621.3815 |
| 245 | 1 | 0 |
_aFPGAs for Software Programmers _cedited by Dirk Koch, Frank Hannig, Daniel Ziener |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XVII, 327 páginas) _b129 ilustraciones, 61 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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| 505 | 0 | _aFrom the Contents: Introduction -- CPUs, GPUs, CGRAs, Vector Processing, Systolic Arrays, FPGAs -- The von Neuman Model versus data stream processing -- FPGAs for software designers -- Languages, libraries, and compilers for specific problems -- Behavioral Compiler Capabilities and optimization strategies. | |
| 520 | 3 | _aThis book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer�s point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
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_aMicroprocesadores _9141164 _0comprobar BNE19900994978 _2embne |
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_aElectrónica _0comprobar BNE19900963053 _2embne _9138690 |
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| 700 | 1 |
_aKoch, Dirk _eeditor literario _0Local _997977 |
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_aHannig, Frank _eeditor literario _0Local _997978 |
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| 700 | 1 |
_aZiener, Daniel _eeditor literario _0Local _997979 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26408-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_a.b12944804 _b10-10-17 _c21-11-16 |
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