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FPGA
2009
ACM

A parallel/vectorized double-precision exponential core to accelerate computational science applications

9 years 29 days ago
A parallel/vectorized double-precision exponential core to accelerate computational science applications
Many natural processes exhibit exponential decay and, consequently, computational scientists make extensive use of e−x in computer simulation experiments. While it is common to implement transcendental functions (sine, cosine, exponentiation, etc.) in hardware using the well-known CORDIC algorithm, many contemporary FPGA implementations either use fixed point or reduced precision floating-point operations (which suffers from a high average/mean error). Unfortunately, these solutions are unacceptable for many computational scientist who require the accuracy of doubleprecision values. This paper presents a direct implementation of an IEEE 754 double-precision e−x FPGA core to support computational science applications. The design is similar to CORDIC but has been modified to specifically support exponentiation; it is pipelined and parallel to efficiently handle large vectors of parameters. Compared to solutions described in the literature, it consumes lesser logical gates, enab...
Robin Pottathuparambil, Ron Sass
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where FPGA
Authors Robin Pottathuparambil, Ron Sass
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