Gongyu Wang

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Reconfigurable computing (RC) is rapidly emerging as a promising technology for the future of high-performance and embedded computing, enabling systems with the computational density and power of custom-logic hardware and the versatility of software-driven hardware in an optimal mix. Novel methods for rapid virtual prototyping, performance prediction, and(More)
Reconfigurable computing (RC) is rapidly becoming a vital technology for many applications, from high-performance computing to embedded systems. The inherent advantages of custom-logic hardware devices, such as the FPGA, combined with the versatility of software-driven hardware configuration often boost performance while reducing power consumption. However,(More)
The mean-shift algorithm provides a unique non-parametric and unsupervised clustering solution to image segmentation and has a proven record of very good performance for a wide variety of input images. It is essential to image processing because it provides the initial and vital steps to numerous object recognition and tracking applications. However, image(More)
FPGAS HAVE BEEN widely shown to have significant performance and power advantages compared to microprocessors. Novo-G, for example, is an FPGA-based supercomputer that achieves performance comparable to top supercomputers for computational-biology applications, while only consuming 8 kilowatts of power. Although GPUs often outperform FPGAs for(More)
FPGA-based reconfigurable computing is finding its way into a wide range of application areas in which high performance and low power consumption are paramount. However, FPGA-application development using hardware-description languages (HDLs) faces many productivity challenges that limit its wide adoption, including a steep learning curve and lengthy(More)
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