Titlebook: Applied Reconfigurable Computing; 13th International S Stephan Wong,Antonio Carlos Beck,Luigi Carro Conference proceedings 2017 Springer In

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EMA in SMEs: Ten Italian Case Studies, saves the data to external memory and then starts the DUT again. The saved data is used by MATLAB to debug the system by using a rule-based inference system. Normally, a debug system only displays the monitored data and then the decision making process is left to the user. But a rule-based inferen

nostrum

opportune

Byung-Wook Lee,Seung-Tae Jung,Yun-Ok ChunA) or Application Specific Integrated Circuit (ASIC) implementation. Compared to ASICs, FPGAs are slower and less power-efficient, but they are programmable, flexible and offer faster prototyping. One reason for the slow performance in FPGA is their finer granularity as they operate at bit-level. Th

善于骗人

https://doi.org/10.1007/978-3-319-06305-8FPGAs at the expense of additional area and delay overhead. Hence it becomes a priority to tune the architecture parameters of the virtual layer. Thereby, the adoption of parameter recommendations intended for physical FPGAs can be misleading, as they are based on transistor level models. This paper

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Charles W. Finkl,Christopher Makowskiptimal trading strategy may be adopted. This paper proposes the first FPGA-based framework which supports multiple trend-following trading strategies to obtain accurate market characterisation for various financial market regimes. The framework contains a trading strategy kernel library covering a n

dictator

Arthr-

https://doi.org/10.1007/978-3-319-56258-2field programmable gate array; FPGA; power consumption; multicore architectures; reconfigurable computin

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978-3-319-56257-5Springer International Publishing AG 2017

Brain-Waves

文艺

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/160093.jpg