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Titlebook: Architecture of Computing Systems -- ARCS 2013; 26th International C Hana Kubátová,Christian Hochberger,Bernhard Sick Conference proceeding

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樓主: TIBIA
51#
發(fā)表于 2025-3-30 08:34:44 | 只看該作者
Conference proceedings 2013tical and practical results on self-organization, self-configuration, self-optimization, self-healing, and self-protection techniques, operating systems including but not limited to scheduling, memory management, power management, RTOS, energy-awareness, and green computing.
52#
發(fā)表于 2025-3-30 13:07:51 | 只看該作者
53#
發(fā)表于 2025-3-30 17:59:01 | 只看該作者
54#
發(fā)表于 2025-3-30 20:50:00 | 只看該作者
https://doi.org/10.1007/978-981-13-5956-9forming rapid system prototyping. Our design space exploration shows that both pure software and pure hardware implementations are possible. However, parts of the software implementation require a significant amount of computation. As a result a mixed HW/SW implementation is proposed.
55#
發(fā)表于 2025-3-31 01:56:38 | 只看該作者
56#
發(fā)表于 2025-3-31 06:04:27 | 只看該作者
Algorithms for Intelligent Systemstwo typical I/O devices, i.e. WLAN and TFT-LCD, demonstrate that our proposed framework can provide accurate estimates on the energy consumption of I/O function calls and the errors between the estimation and measurement results are below 4%.
57#
發(fā)表于 2025-3-31 11:20:59 | 只看該作者
Synthetic Aperture Radar Data Processing on an FPGA Multi-core System,with 550?thousand logic cells and consumes about 10 watt. We apply software pipelining to hide memory latency and reduce the hardware footprint by 14%. We show that the system provides real-time processing of a SAR application that maps a 3000m wide area with a resolution of 2x2 meters.
58#
發(fā)表于 2025-3-31 14:29:13 | 只看該作者
59#
發(fā)表于 2025-3-31 17:56:16 | 只看該作者
60#
發(fā)表于 2025-3-31 22:49:09 | 只看該作者
A Data-Driven Approach for Executing the CG Method on Reconfigurable High-Performance Systems,le-threaded software version on the HC-1 and up to 1.2 times compared to a 2-socket hex-core Intel Xeon Westmere system with 24 hardware threads for large problem sizes with only a single application engine.
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