Suchergebnisse - "International Conference on Field-programmable Logic and Applications"
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LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications
ISSN: 1946-1488Veröffentlicht: IEEE 01.08.2020Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2020)“… Deployment of deep neural networks for applications that require very high throughput or extremely low latency is a severe computational challenge, further …”
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NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling
ISSN: 1946-1488Veröffentlicht: IEEE 01.08.2020Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2020)“… Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, …”
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A high performance FPGA-based accelerator for large-scale convolutional neural networks
ISSN: 1946-1488Veröffentlicht: EPFL 01.08.2016Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2016)“… In recent years, convolutional neural networks (CNNs) based machine learning algorithms have been widely applied in computer vision applications. However, for …”
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Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC
ISSN: 1946-1488Veröffentlicht: EPFL 01.08.2016Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2016)“… Recurrent neural networks (RNNs) provide state-of-the-art accuracy for performing analytics on datasets with sequence (e.g., language model). This paper …”
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Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA
ISSN: 1946-1488Veröffentlicht: EPFL 01.08.2016Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2016)“… Despite its popularity, deploying Convolutional Neural Networks (CNNs) on a portable system is still challenging due to large data volume, intensive …”
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A High-Performance CNN Processor Based on FPGA for MobileNets
ISSN: 1946-1488Veröffentlicht: IEEE 01.09.2019Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2019)“… Convolution neural networks (CNNs) have been widely applied in the fields of computer vision tasks. However, it is hard to deploy those standard neural …”
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An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… Convolutional neural networks (CNNs) are rapidly evolving and being applied to a broad range of applications. Given a specific application, an increasing …”
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Eciton: Very Low-Power LSTM Neural Network Accelerator for Predictive Maintenance at the Edge
ISSN: 1946-1488Veröffentlicht: IEEE 01.08.2021Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2021)“… This paper presents Eciton, a very low-power LSTM neural network accelerator for low-power edge sensor nodes, demonstrating real-time processing on predictive …”
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Latency-driven design for FPGA-based convolutional neural networks
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… In recent years, Convolutional Neural Networks (ConvNets) have become the quintessential component of several state-of-the-art Artificial Intelligence tasks …”
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An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics
ISSN: 1946-1488Veröffentlicht: IEEE 01.01.2021Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.01.2021)“… Convolutional neural networks (CNNs) have been widely deployed in computer vision tasks. However, the computation and resource intensive characteristics of CNN …”
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A fully connected layer elimination for a binarizec convolutional neural network on an FPGA
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… A pre-trained convolutional deep neural network (CNN) is widely used for embedded systems, which requires highly power-and-area efficiency. In that case, the …”
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Scalable high-performance architecture for convolutional ternary neural networks on FPGA
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… Thanks to their excellent performances on typical artificial intelligence problems, deep neural networks have drawn a lot of interest lately. However, this …”
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Voltage drop-based fault attacks on FPGAs using valid bitstreams
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… Due to the widespread use of FPGAs in many critical application domains, their security is of high concern. In recent systems, such as FPGAs in the Cloud or in …”
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High-performance video content recognition with long-term recurrent convolutional network for FPGA
ISSN: 1946-1488Veröffentlicht: Ghent University 01.09.2017Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2017)“… FPGA is a promising candidate for the acceleration of Deep Neural Networks (DNN) with improved latency and energy consumption compared to CPU and GPU-based …”
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Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design
ISSN: 1946-1488Veröffentlicht: IEEE 01.09.2019Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2019)“… The emergence of High-Level Synthesis (HLS) tools shifted the paradigm of hardware design by making the process of mapping high-level programming languages to …”
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FPGA-Based Simulated Bifurcation Machine
ISSN: 1946-1488Veröffentlicht: IEEE 01.09.2019Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2019)“… Since many combinatorial optimization problems can be mapped onto ground-state search problems of Ising models, special-purpose machines for Ising problems …”
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A survey of AIS-20/31 compliant TRNG cores suitable for FPGA devices
ISSN: 1946-1488Veröffentlicht: EPFL 01.08.2016Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2016)“… FPGAs are widely used to integrate cryptographic primitives, algorithms, and protocols in cryptographic systems-on-chip (CrySoC). As a building block of …”
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CNP: An FPGA-based processor for Convolutional Networks
ISSN: 1946-147XVeröffentlicht: IEEE 01.08.2009Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2009)“… Convolutional networks (ConvNets) are biologically inspired hierarchical architectures that can be trained to perform a variety of detection, recognition and …”
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EasyNet: 100 Gbps Network for HLS
ISSN: 1946-1488Veröffentlicht: IEEE 01.08.2021Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.08.2021)“… The massive deployment of FPGAs in data centers is opening up new opportunities for accelerating distributed applications. However, developing a distributed …”
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Limago: An FPGA-Based Open-Source 100 GbE TCP/IP Stack
ISSN: 1946-1488Veröffentlicht: IEEE 01.09.2019Veröffentlicht in International Conference on Field-programmable Logic and Applications (01.09.2019)“… The realization that the network is becoming an important bottleneck in computing clusters and in the cloud has led in the past years to an increase scrutiny …”
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