Applied Reconfigurable Computing by Michael Hubner
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Applied Reconfigurable Computing

Applied Reconfigurable Computing


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About the Book

Architecture and Modeling.- Reducing Storage Costs of Reconfiguration Contexts by Sharing Instruction Memory Cache Blocks.- A Vector Caching Scheme for Streaming FPGA SpMV Accelerators.- Hierarchical Dynamic Power-Gating in FPGAs.- Tools and Compilers.- Hardware Synthesis from Functional Embedded Domain-Specific Languages: A Case Study in Regular Expression Compilation.- ArchHDL: A Novel Hardware RTL Design Environment in C++.- Operand-Value-Based Modeling of Dynamic Energy Consumption of Soft Processors in FPGA.- Systems and Applications.- Preemptive Hardware Multitasking in ReconOS.- A Fully Parallel Particle Filter Architecture for FPGAs.- TEAChER: TEach AdvanCEd Reconfigurable Architectures and Tools.- Tools and Compilers.- Dynamic Memory Management in Vivado-HLS for Scalable Many-Accelerator Architectures.- SET-PAR: Place and Route Tools for the Mitigation of Single Event Transients on Flash-Based FPGAs.- Advanced SystemC Tracing and Analysis Framework for Extra-Functional Properties.- Run-Time Partial Reconfiguration Simulation Framework Based on Dynamically Loadable Components.- Network-on-a-Chip Architecture Virtualization for Run-Time Hardware Multithreading on Field Programmable Gate Arrays.- Centralized and Software-Based Run-Time Traffic Management Inside Configurable Regions of Interest in Mesh-Based Networks-on-Chip.- Survey on Real-Time Network-on-Chip Architectures.- Cryptography Applications Efficient SR-Latch PUF.- Hardware Benchmarking of Cryptographic Algorithms Using High-Level Synthesis Tools: The SHA-3 Contest Case Study.- Dual CLEFIA/AES Cipher Core on FPGA.- Systems and Applications.- An Efficient and Flexible FPGA Implementation of a Face Detection System.- A Flexible Software Framework for Dynamic Task Allocation on MPSoCs Evaluated in an Automotive Context.- A Dynamically Reconfigurable Mixed Analog-Digital Filter Bank.- The Effects of System Hyper Pipelining on Three Computational Benchmarks Using FPGAs.- Extended Abstracts (Posters).- A Timing Driven Cycle-Accurate Simulation for Coarse-Grained Reconfigurable Architectures.- Scalable and Efficient Linear Algebra Kernel Mapping for Low Energy Consumption on the Layers CGRA..- A Novel Concept for Adaptive Signal Processing on Reconfigurable Hardware.- Evaluation of High-Level Synthesis Techniques for Memory and Datapath Tradeoffs in FPGA Based SoC Architectures.- Measuring Failure Probability of Coarse and Fine Grain TMR Schemes in SRAM-based FPGAs Under Neutron-Induced Effects.- Modular Acquisition and Stimulation System for Timestamp-Driven Neuroscience Experiments.- DRAM Row Activation Energy Optimization for Stride Memory Access on FPGA-Based Systems.- Acceleration of Data Streaming Classification Using Reconfigurable Technology.- On-The-Fly Verification of Reconfigurable Image Processing Modules Based on a Proof-Carrying Hardware Approach.- Partial Reconfiguration for Dynamic Mapping of Task Graphs onto 2D Mesh Platform.- A Challenge of Portable and High-Speed FPGA Accelerator.- Total Ionizing Dose Effects of Optical Components on an Optically Reconfigurable Gate Array.- Exploring Dynamic Reconfigurable CORDIC Co-Processors Tightly Coupled with a VLIW-SIMD Soft-Processor Architecture.- Mesh of Clusters FPGA Architectures: Exploration Methodology and Interconnect Optimization.- DyAFNoC: Dynamically Reconfigurable NoC Characterization Using a Simple Adaptive Deadlock-Free Routing Algorithm with a Low Implementation Cost.- A Flexible Multilayer Perceptron Co-processor for FPGAs.- Reconfigurable Hardware Assist for Linux Process Scheduling in Heterogeneous Multicore SoCs.- Towards Performance Modeling of 3D Memory Integrated FPGA Architectures.- Pyverilog: A Python-Based Hardware Design Processing Toolkit for Verilog HDL.- Special Session 1: Funded R&D Running and Completed Projects (Invited Papers).- Towards Unification of Accelerated Computing and Interconnection For Extreme-Scale Computing.- SPARTAN/SEXTANT/COMPASS: Advancing Space Rover Vis


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Product Details
  • ISBN-13: 9783319162133
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 32
  • Height: 234 mm
  • No of Pages: 557
  • Series Title: Lecture Notes in Computer Science: Theoretical Computer Science and General Issues
  • Sub Title: 11th International Symposium, Arc 2015
  • Width: 156 mm
  • ISBN-10: 3319162136
  • Publisher Date: 14 Apr 2015
  • Binding: Paperback
  • Edition: 2015 ed.
  • Language: English
  • Returnable: Y
  • Spine Width: 30 mm
  • Weight: 847 gr


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