Design and Analysis of a Multi-core PDF Estimation Algorithm on FPGAs
msra(2007)
摘要
FPGAs (Field Programmable Gate Arrays) and the field of “High Performance Computing” have been applied to computationally intensive problems in various domains mainly addressing speedup issues. However, there is still a significant need of in-depth research and proof of success with real applications for proposing them as solutions for a more general class of problems. Along this line, this work involves the design, development and analysis of a multi-core Probability Density Function (PDF) estimation algorithm using Gaussian kernels on FPGAs. Speedup and performance metrics were obtained and discussions addressing scalability issues suggest that FPGAs are a good choice for a wide class of applications that are primarily based on density function estimations.
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关键词
high performance computing,gaussian kernel,rapid pdf estimation,- fpga,parallel architecture designs
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