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

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發(fā)表于 2025-3-21 18:25:10 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Reconfigurable Computing. Architectures, Tools, and Applications
期刊簡稱19th International S
影響因子2023Francesca Palumbo,Georgios Keramidas,Pedro C. Dini
視頻videohttp://file.papertrans.cn/161/160097/160097.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 19th International S Francesca Palumbo,Georgios Keramidas,Pedro C
影響因子This book constitutes the proceedings of the 19th?International Symposium on Applied Reconfigurable Computing, ARC 2023, which was held in Cottbus, Germany, in September 2023..The 18 full papers presented in this volume were reviewed and selected from numerous submissions. The proceedings 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.?.
Pindex Conference proceedings 2023
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Design Space Exploration of?Application Specific Number Formats Targeting an?FPGA Implementation of?subject to ongoing research. In FPGA implementations arbitrary combinations of mantissa and exponent widths are possible. For some applications the required precision can be determined analytically without knowledge of the input data. Thus, in these cases a lower bound for the hardware effort can be
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Memory-Aware Scheduling for?a?Resource-Elastic FPGA Operating Systemthat decide the order of running tasks to improve the system’s performance: memory model-aware (MMA) and memory access pattern-aware (MAPA) schedulers. The proposed approaches consider memory characteristics in scheduling decisions to alleviate the memory overhead and enhance the system’s performanc
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ArcvaVX: OpenVX Framework for?,daptive ,econfigurable ,omputer ,ision ,rchitecturesperformance and energy efficiency. However, their programmability is a major challenge for software programmers. With OpenVX a standard for cross platform acceleration of computer vision applications exists. Existing OpenVX FPGA frameworks often contain non-standard constructs and consider either fi
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