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In this paper, we develop a general-use autonomous control strategy for managing the trade-off between process- ing throughput and power consumption in data centers. This approach relies on the concept that the delay in completing computational tasks can be reduced at the cost of more power. The scheme's generality allows it to be applied at multiple hierarchical levels within a data center, or another...
Speeded Up Robust Feature(SURF) is widely used in computer vision applications. In many recent applications like mobile devices and vision sensor network, it is extremely difficult to meet both the performance and power consumption requirements of SURF implementations, especially for CPU, GPU, DSP or FPGA based solutions. In this paper, the SURF algorithm is simplified and optimized for hardware implementation...
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