Results 11 to 20 of about 3,458 (224)
A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction
Sensors, 2017 A current trend in the development of assistive devices for rehabilitation, for example exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality and usability, for example by predicting the patient’s upcoming ...
Hendrik Wöhrle +4 more
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FaaM: FPGA-as-a-Microservice - A Case Study for Data Compression [PDF]
EPJ Web of Conferences, 2019 Field-programmable gate arrays (FPGAs) have largely been used in communication and high-performance computing and given the recent advances in big data and emerging trends in cloud computing (e.g., serverless [18]), FPGAs are increasingly being ...
Ojika David +3 more
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Effects of FPGA architecture on FPGA routing [PDF]
Proceedings of the 32nd ACM/IEEE conference on Design automation conference - DAC '95, 1995 Although many traditional Mask Programmed Gate Array (MPGA) algorithms can be applied to FPGA routing, FPGA architectures impose critical constraints and provide alternative views of the routing problem that allow innovative new algorithms to be applied.
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DP‐FPGA: An FPGA Architecture Optimized for Datapaths [PDF]
VLSI Design, 1996 This paper presents a new Field‐Programmable Gate Array (FPGA) architecture which reduces the density gap between FPGAs and Mask‐Programmed Gate Arrays (MPGAs) for datapath oriented circuits. This is primarily achieved by operating on data as a number of identically programmed four‐bit slices.
Cherepacha, Don, Lewis, David
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Nuclear Engineering and Technology, 2017 Field programmable gate arrays (FPGAs) are getting more attention in safety-related and safety-critical application development of nuclear power plant instrumentation and control systems.
T.S. Nidhin +4 more
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XSBench on FPGAs using Intel oneAPI [PDF]
EPJ Web of ConferencesField-Programmable Gate Arrays (FPGAs) are becoming an interesting component for heterogeneous computing systems in the post-Moore era thanks to their reconfigurable nature.
Pecák Oldřich +2 more
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IEEE Access, 2019 After the introduction of the OpenCL-based FPGA accelerator design method, FPGAs are getting very popular among high-performance computing. The key to achieving high performance using FPGAs is to design pipelined accelerators.
Hasitha Muthumala Waidyasooriya +1 more
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Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks [PDF]
2016 International Conference on Field-Programmable Technology (FPT), 2016 Convolutional Neural Networks (CNNs) have gained significant traction in the field of machine learning, particularly due to their high accuracy in visual recognition. Recent works have pushed the performance of GPU implementations of CNNs to significantly improve their classification and training times.
Roberto DiCecco +5 more
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Hardware acceleration of number theoretic transform for zk‐SNARK
Engineering Reports, EarlyView., 2023 An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao +6 more
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A simulation and verification method based on IBIS model for signal integrity of FPGA
Dianzi Jishu Yingyong, 2019 This paper analyzes the necessity of verifying the signal integrity of SRAM-based FPGAs, and a method based on simulation for verifying the signal integrity is proposed.
Cui Bin +5 more
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