Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 19th International S Francesca Palumbo,Georgios Keramidas,Pedro C

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0302-9743 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. .978-3-031-42920-0978-3-031-42921-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Environmental Microbiology and Biotechnologycture information. Our experiments demonstrate the effectiveness of the proposed attack and highlight the need for robust security measures to protect DNN intellectual property (IP) models that are deployed on edge FPGA platforms.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/160097.jpg

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Applied Reconfigurable Computing. Architectures, Tools, and Applications978-3-031-42921-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-031-42921-7computer hardware; computer programming; distributed computer systems; embedded systems; field programma

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978-3-031-42920-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-1-62703-712-9 achieve high performance and energy efficiency, their design requires considerable effort. To increase the productivity of accelerator design, high-level synthesis (HLS) generates hardware from high-level descriptions, raising the level of abstraction. The efficiency of memory systems in accelerato

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Prashant Kumar Jaiswal,Jyotsana Gupta their flexibility, FPGAs are an especially suitable compute element for NDP scenarios. Even more promising is the exploitation of novel and future . (NVM) technologies for NDP, which aim to achieve DRAM-like latencies and throughputs, while providing large capacity non-volatile storage..Experimenta

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Shalini Purwar,Shaili Srivastava between the processing system and the FPGA design. High performance FPGA designs in embedded SoC FPGAs often make use of data movers with streaming capabilities for the direct data transfer between the host’s main memory and the local memory of the FPGA accelerator. Unfortunately, the OpenCL memory