Results 21 to 30 of about 453,118 (212)
Penetration testing of FPGA as a Service components for ensuring cybersecurity
Авіаційно-космічна техніка та технологія, 2023 The subject of study in this article is modern penetration testing technologies, in which the test object is a platform with access to FPGA resources. The goal of this work is to improve modern methods of penetration testing of services that provide FPGA
Artem Tetskyi
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Secure acceleration on cloud-based FPGAs -- FPGA enclaves [PDF]
2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020 FPGAs are becoming a common sight in cloud environments and new usage paradigms, such as FPGA-as-a-Service, have emerged. This development poses a challenge to traditional FPGA security models, as these are assuming trust between the user and the hardware owner.
Niklas Lindskog, Håkan Englund
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Design and implementation of partial dynamically reconfigurable FPGA process scheduling
Dianzi Jishu Yingyong, 2023 In view of the diverse edge computing requirements of the 6G era, reconfigurable technology based on FPGAs can achieve lower latency and provide diversified services.
Qian Hongwen +5 more
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REFRESH FPGAs: Sustainable FPGA Chiplet Architectures
Proceedings of the 14th International Green and Sustainable Computing Conference, 2023 There is a growing call for greater amounts of increasingly agile computational power for edge and cloud infrastructure to serve the computationally complex needs of ubiquitous computing devices. Thus, an important challenge is addressing the holistic environmental impacts of these next-generation computing systems.
Peipei Zhou 0001 +8 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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A High speed data link optimization for digitalized transfer to processing FPGA [PDF]
EPJ Web of Conferences, 2021 State-of-the-art arrays of detectors, that require digital processing, may have a sizeable number of digitalized signal links. This is the case in several experimental nuclear physics instruments.
Collado J., Gonzalez V., Gadea A.
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FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review [PDF]
IEEE Access, 2019 Due to recent advances in digital technologies, and availability of credible data, an area of artificial intelligence, deep learning, has emerged and has demonstrated its ability and effectiveness in solving complex learning problems not possible before.
Ahmad Shawahna, S. M. Sait, A. El-Maleh
semanticscholar +1 more source
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2020 Deep learning techniques have provided significant improvements in hyperspectral image (HSI) classification. The current deep learning-based HSI classifiers follow a patch-based learning framework by dividing the image into overlapping patches.
Zhuo Zheng +3 more
semanticscholar +1 more source
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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