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From Algorithm to Hardware
- Faster Image Processing
Presented by: Professor Walid A. Najjar
ABSTRACT :
Although reconfigurable computing has gained in popularity
in recent years, in most instances it still requires the manual
translation of an algorithm into a circuit that is then implemented
using a hardware description language. This process is a significant
hindrance to the wider acceptance of this technology by application
program developers. This paper reports on the Cameron Project,
which has developed a seamless and fully automated translation
mechanism from a high-level language to circuits that can
be mapped on FPGA-based reconfigurable systems. The applications
have focused primarily on image processing and computer vision
applications. We report speed-ups on large applications that
vary from 50 to 1000 over Pentium-based PCs.
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