Suchergebnisse - "International Conference on Field-programmable Logic and Applications"

  1. 1

    LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications von Umuroglu, Yaman, Akhauri, Yash, Fraser, Nicholas James, Blott, Michaela

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  2. 2

    NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling von Singh, Gagandeep, Diamantopoulos, Dionysios, Hagleitner, Christoph, Gomez-Luna, Juan, Stuijk, Sander, Mutlu, Onur, Corporaal, Henk

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  3. 3

    A high performance FPGA-based accelerator for large-scale convolutional neural networks von Huimin Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, Lingli Wang

    ISSN: 1946-1488
    Veröffentlicht: EPFL 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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  4. 4

    Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC von Nurvitadhi, Eriko, Jaewoong Sim, Sheffield, David, Mishra, Asit, Krishnan, Srivatsan, Marr, Debbie

    ISSN: 1946-1488
    Veröffentlicht: EPFL 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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  5. 5

    Scalable and modularized RTL compilation of Convolutional Neural Networks onto FPGA von Yufei Ma, Suda, Naveen, Yu Cao, Jae-sun Seo, Vrudhula, Sarma

    ISSN: 1946-1488
    Veröffentlicht: EPFL 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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  6. 6

    A High-Performance CNN Processor Based on FPGA for MobileNets von Wu, Di, Zhang, Yu, Jia, Xijie, Tian, Lu, Li, Tianping, Sui, Lingzhi, Xie, Dongliang, Shan, Yi

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  7. 7

    An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks von Ma, Yufei, Cao, Yu, Vrudhula, Sarma, Seo, Jae-sun

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  8. 8

    Eciton: Very Low-Power LSTM Neural Network Accelerator for Predictive Maintenance at the Edge von Chen, Jeffrey, Hong, Sehwan, He, Warrick, Moon, Jinyeong, Jun, Sang-Woo

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  9. 9

    Latency-driven design for FPGA-based convolutional neural networks von Venieris, Stylianos I., Bouganis, Christos-Savvas

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  10. 10

    An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics von Yan, Shun, Liu, Zhengyan, Wang, Yun, Zeng, Chenglong, Liu, Qiang, Cheng, Bowen, Cheung, Ray C.C.

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  11. 11

    A fully connected layer elimination for a binarizec convolutional neural network on an FPGA von Nakahara, Hiroki, Fujii, Tomoya, Sato, Shimpei

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  12. 12

    Scalable high-performance architecture for convolutional ternary neural networks on FPGA von Prost-Boucle, Adrien, Bourge, Alban, Petrot, Frederic, Alemdar, Hande, Caldwell, Nicholas, Leroy, Vincent

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  13. 13

    Voltage drop-based fault attacks on FPGAs using valid bitstreams von Gnad, Dennis R. E., Oboril, Fabian, Tahoori, Mehdi B.

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  14. 14

    High-performance video content recognition with long-term recurrent convolutional network for FPGA von Xiaofan Zhang, Xinheng Liu, Ramachandran, Anand, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Zuofu Cheng, Rupnow, Kyle, Deming Chen

    ISSN: 1946-1488
    Veröffentlicht: Ghent University 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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  15. 15

    Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design von Mohammadi Makrani, Hosein, Farahmand, Farnoud, Sayadi, Hossein, Bondi, Sara, Pudukotai Dinakarrao, Sai Manoj, Homayoun, Houman, Rafatirad, Setareh

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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 von Tatsumura, Kosuke, Dixon, Alexander R., Goto, Hayato

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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  17. 17

    A survey of AIS-20/31 compliant TRNG cores suitable for FPGA devices von Petura, Oto, Mureddu, Ugo, Bochard, Nathalie, Fischer, Viktor, Bossuet, Lilian

    ISSN: 1946-1488
    Veröffentlicht: EPFL 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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  18. 18

    CNP: An FPGA-based processor for Convolutional Networks von Farabet, C., Poulet, C., Han, J.Y., LeCun, Y.

    ISSN: 1946-147X
    Veröffentlicht: IEEE 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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  19. 19

    EasyNet: 100 Gbps Network for HLS von He, Zhenhao, Korolija, Dario, Alonso, Gustavo

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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 von Ruiz, Mario, Sidler, David, Sutter, Gustavo, Alonso, Gustavo, Lopez-Buedo, Sergio

    ISSN: 1946-1488
    Veröffentlicht: IEEE 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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