Qigang Wang

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Growing demand for energy-efficient, high-performance systems has resulted in the growth of innovative heterogeneous computing system architectures that use FPGAs. FPGA-based architectures enable designers to implement custom instruction streams executing on potentially thousands of compute elements. Traditionally, FPGAs have been used as compute elements(More)
With the amount of data continuing to grow, extracting "data of interest" is becoming popular, pervasive, and more important than ever. Data mining, as this process is known as, seeks to draw meaningful conclusions, extract knowledge , and acquire models from vast amounts of data. These compute-intensive data-mining applications, where thread-level(More)
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