Ebook > Scienza > Tecnica > Elettronica, ingegneria elettrica, telecomunicazioni > Manuel Hohenauer & Rainer Leupers: C Compilers for ASIPs (PDF)

Manuel Hohenauer & Rainer Leupers
C Compilers for ASIPs
Automatic Compiler Generation with LISA

Supporto

Copertina di Manuel Hohenauer & Rainer Leupers: C Compilers for ASIPs (PDF)

€139.09

Tabella dei contenuti

ASIP Design Methodology.- A Short Introduction to Compilers.- Related Work.- Processor Designer.- Code Selector Description Generation.- Results for Semantics based Compiler Generation.- SIMD Optimization.- Predicated Execution.- Assembler Optimizer.- Summary.

Lingua Inglese ● Formato PDF ● Pagine 223 ● ISBN 9781441911766 ● Dimensione 4.8 MB ● Casa editrice Springer New York ● Città NY ● Paese US ● Pubblicato 2009 ● Scaricabile 24 mesi ● Moneta EUR ● ID 2149911 ● Protezione dalla copia Adobe DRM

Richiede un lettore di ebook compatibile con DRM

Altri ebook dello stesso autore / Editore

Manuel Hohenauer Rainer Leupers

18.034 Ebook in questa categoria

Copertina di Judy Pecht: Long-Term Non-Operating Reliability of Electronic Products

Judy Pecht: Long-Term Non-Operating Reliability of Electronic Products

In today”s electronic environment, operating reliability for continued daily use of electronic products is essential. This book discusses the reliability of products that lie dormant for long …

Copertina di Kamal M. Captain & Manjunath V. (DAIICT, India) Joshi: Spectrum Sensing for Cognitive Radio

Kamal M. Captain & Manjunath V. (DAIICT, India) Joshi: Spectrum Sensing for Cognitive Radio

This comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing. This text discusses the concept of cognitive radio for next generation w …

Copertina di Michael A. Brown Sr.: Solutions for High-Touch Communications in a High-Tech World

Michael A. Brown Sr.: Solutions for High-Touch Communications in a High-Tech World

Copertina di Catalin Buiu & Andrei George Florea: Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities

Catalin Buiu & Andrei George Florea: Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities

Copertina di Information Resources Management Association: Computer Systems and Software Engineering: Concepts, Methodologies, Tools, and Applications

Information Resources Management Association: Computer Systems and Software Engineering: Concepts, Methodologies, Tools, and Applications

Copertina di Amir Almslmany: Recent Advancements in Airborne Radar Signal Processing: Emerging Research and Opportunities

Amir Almslmany: Recent Advancements in Airborne Radar Signal Processing: Emerging Research and Opportunities

Copertina di Mahmoud Elkhodr: Enabling Technologies and Architectures for Next-Generation Networking Capabilities

Mahmoud Elkhodr: Enabling Technologies and Architectures for Next-Generation Networking Capabilities

Copertina di M Vinoth (RV Institute of Technology and Management, Bangalore, India) Kumar & Madhumathy (RV Institute of Technology and Management, Bangalore, India) P: Machine Learning and IoT for Intelligent Systems and Smart Applications

M Vinoth (RV Institute of Technology and Management, Bangalore, India) Kumar & Madhumathy (RV Institute of Technology and Management, Bangalore, India) P: Machine Learning and IoT for Intelligent Systems and Smart Applications

The fusion of AI and Io T enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, an …

Copertina di Pawel Czarnul: Integration of Services into Workflow Applications

Pawel Czarnul: Integration of Services into Workflow Applications

Describing state-of-the-art solutions in distributed system architectures, Integration of Services into Workflow Applications presents a concise approach to the integration of loosely coupled …

Copertina di L. C. Jain: Recent Advances in Artificial Neural Networks

L. C. Jain: Recent Advances in Artificial Neural Networks

Neural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, an …

Pagina successiva >>>