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  • Produktbild: Embedded Computer Systems: Architectures, Modeling, and Simulation
  • Produktbild: Embedded Computer Systems: Architectures, Modeling, and Simulation
Band 5657

Embedded Computer Systems: Architectures, Modeling, and Simulation 9th International Workshop, SAMOS 2009, Samos, Greece, July 20-23, 2009, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 73.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.07.2009

Abbildungen

XIV, 342 p.

Herausgeber

Koen Bertels + weitere

Verlag

Springer Berlin

Seitenzahl

342

Maße (L/B/H)

23.5/15.5/2 cm

Gewicht

546 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03137-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.07.2009

Abbildungen

XIV, 342 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

342

Maße (L/B/H)

23.5/15.5/2 cm

Gewicht

546 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03137-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Embedded Computer Systems: Architectures, Modeling, and Simulation
  • Produktbild: Embedded Computer Systems: Architectures, Modeling, and Simulation
  • Beachnote.- What Else Is Broken? Can We Fix It?.- Architectures for Multimedia.- Programmable and Scalable Architecture for Graphics Processing Units.- The Abstract Streaming Machine: Compile-Time Performance Modelling of Stream Programs on Heterogeneous Multiprocessors.- CABAC Accelerator Architectures for Video Compression in Future Multimedia: A Survey.- Programmable Accelerators for Reconfigurable Video Decoder.- Scenario Based Mapping of Dynamic Applications on MPSoC: A 3D Graphics Case Study.- Multiple Description Scalable Coding for Video Transmission over Unreliable Networks.- Multi/Many Cores Architectures.- Evaluation of Different Multithreaded and Multicore Processor Configurations for SoPC.- Implementing Fine/Medium Grained TLP Support in a Many-Core Architecture.- Implementation of W-CDMA Cell Search on a FPGA Based Multi-Processor System-on-Chip with Power Management.- A Multiprocessor Architecture with an Omega Network for the Massively Parallel Model GCA.- VLSI Architectures Design.- Towards Automated FSMD Partitioning for Low Power Using Simulated Annealing.- Radix-4 Recoded Multiplier on Quantum-Dot Cellular Automata.- Prediction in Dynamic SDRAM Controller Policies.- Inversion/Non-inversion Implementation for an 11,424 Gate-Count Dynamic Optically Reconfigurable Gate Array VLSI.- Architecture Modeling and Exploration Tools.- Visualization of Computer Architecture Simulation Data for System-Level Design Space Exploration.- Modeling Scalable SIMD DSPs in LISA.- NoGAP: A Micro Architecture Construction Framework.- A Comparison of NoTA and GENESYS.- Special Session 1: Instruction-Set Customization.- to Instruction-Set Customization.- Constraint-Driven Identification of Application Specific Instructions in the DURASE System.- A Generic Design Flow for Application Specific Processor Customization through Instruction-Set Extensions (ISEs).- Runtime Adaptive Extensible Embedded Processors — A Survey.- Special Session 2: The Future of Reconfigurable Computing and Processor Architectures.- to the Future of Reconfigurable Computing and Processor Architectures.- An Embrace-and-Extend Approach to Managing the Complexity of Future Heterogeneous Systems.- Applying the Stream-Based Computing Model to Design Hardware Accelerators: A Case Study.- Reconfigurable Multicore Server Processors for Low Power Operation.- Reconfigurable Computing in the New Age of Parallelism.- Reconfigurable Multithreading Architectures: A Survey.- Special Session 3: Mastering Cell BE and GPU Execution Platforms.- to Mastering Cell BE and GPU Execution Platforms.- Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors.- Implementing Blocked Sparse Matrix-Vector Multiplication on NVIDIA GPUs.- Experiences with Cell-BE and GPU for Tomography.- Realizing FIFO Communication When Mapping Kahn Process Networks onto the Cell.- Exploiting Locality on the Cell/B.E. through Bypassing.- Exploiting the Cell/BE Architecture with the StarPU Unified Runtime System.