Applied Reconfigurable Computing. Architectures, Tools, and Applications
Springer International Publishing (Verlag)
978-3-031-42920-0 (ISBN)
The 18 full papers presented in this volume were reviewed and selected from numerous submissions. The proceedings also contain 4 short PhD papers. The contributions were organized in topical sections as follows: Design methods and tools; applications; architectures; special session: near and in-memory computing; and PhD forum papers.
Design Methods and Tools.- High-Level Synthesis of Memory Systems for Decoupled Data Orchestration.- Rapid Prototyping of Complex Micro-architectures through High-Level Synthesis.- NVMulator: A Con gurable Open-Source Non-Volatile Memory Emulator for FPGAs.- On the OpenCL Support for Streaming Fixed-Function Accelerators on Embedded SoC FPGAs.- Design Space Exploration of Application Specific Number Formats targeting an FPGA Implementation of SPICE.- Memory-Aware Scheduling for a Resource-Elastic FPGA Operating System.- ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures.- Applications.- FPGA-Integrated Bag of Little Bootstraps Accelerator for Approximate Database Query Processing.- Accelerating Graph Neural Networks in Pytorch With HLS and Deep Data flows.- DNN Model Theft through Trojan Side Channel on Edge FPGA Accelerator.- Towards Secure and Efficient Multi-generation Cellular Communications: Multi-mode SNOW-3G/V ASIC and FPGA Implementations.- A Convolution Neural Network based Displaced Vertex Trigger for the Belle II Experiment.- On-FPGA Spiking Neural Networks for Multi-Variable End-to-End Neural Decoding.- Implementation of a Perception System for Autonomous Vehicles using a Detection-Segmentation Network in SoC FPGA.- Architectures.- Increasing the Fault Tolerance of COTS FPGAs in Space: SEU Mitigation Techniques on MPSoC.- Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecture.- On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconOS64.- Evolutionary FPGA-based Spiking Neural Networks for Continual Learning.- More Efficient CMMs on FPGAs: Instantiated Ternary Adders for Computation Coding.- Energy Efficient DNN Compaction for Edge Deployment.- Special Session: Near and In-Memory Computing.- TAPRE-HBM: Trace-Based Processor Rapid Emulation using HBM on FPGAs.- An Almost Fully RRAM-based LUT Design for Reconfigurable Circuits.- A Light-weight Vision Transformer toward Near-Memory Computation on an FPGA.- PhD Forum PapersRadiation Tolerant Reconfigurable Hardware Architecture Design Methodology.- A Control Data Acquisition System Architecture for MPSoC-FPGAs in Computed Tomography.- Simulation and Modeling for Network-on-Chip based MPSoC.- A Design-Space Exploration Framework for Application-Specification.- Machine Learning targeting Reconfigurable Computing.
| Erscheinungsdatum | 17.09.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 376 p. 167 illus., 142 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 592 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Computer Hardware • computer programming • distributed computer systems • Embedded Systems • field programmable gate array • machine learning • Network Protocols • parallel processing systems • reconfigurable architectures • Signal Processing |
| ISBN-10 | 3-031-42920-6 / 3031429206 |
| ISBN-13 | 978-3-031-42920-0 / 9783031429200 |
| Zustand | Neuware |
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