Performance analysis challenges and framework for high-performance reconfigurable computing
作者： Seth Koehler , John Curreri , Alan D. George
DOI: 10.1016/J.PARCO.2008.01.008
关键词: Speedup 、 Reconfigurable computing 、 High-performance reconfigurable computing 、 Field-programmable gate array 、 Visualization 、 Computer architecture 、 Software 、 Computer science 、 Instrumentation (computer programming)
摘要: Reconfigurable computing (RC) applications employing both microprocessors and FPGAs have potential for large speedup when compared with traditional (software) parallel applications. However, this is marred by the additional complexity of these dual-paradigm systems, making it difficult to identify performance bottlenecks achieve desired performance. Performance analysis concepts tools are well researched widely available but lacking in RC, despite being great importance due applications' increased complexity. In paper, we explore challenges present new techniques automated instrumentation, runtime measurement, visualization RC application behavior. We also ideas integration conventional create a unified tool as our initial framework FPGA instrumentation measurement. Results from case study provided using prototype tool.
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