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Optimized Custom Precision Function Evaluation for Embedded Processors

delete2009-01-01
delete17
PRE
AI
L
Lee, Dong-U *
V
Villasenor, John D.
DOI:10.1109/TC.2008.124delete
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摘要

摘要

En 中文
Fixed-point processors are utilized in an enormous variety of applications, often for tasks that require the evaluation of mathematical functions. We present an automated method for mapping functions to such processors via polynomials that explicitly targets the native word length of the processor, thereby significantly reducing the execution time relative to commonly used floating-point emulation approaches based on traditional mathematical libraries. The methods presented here also contrast with hand-tuned processor-specific code, which has the potential to deliver efficient implementations but at the cost of significant design time. We describe an automated design flow utilizing multiword arithmetic to provide overflow protection and precision accurate to one unit in the last place (ulp). Analytical approaches are used to minimize the number of fixed-width operands required for each operation and to ensure that precision requirements are met. This allows automated generation of processor-optimized code and characterization of a design space representing a rich range of trade-offs among precision, latency, and memory cost.
Keyword:
Computer arithmetic
elementary function approximation
minimax approximation and algorithms
processors
real-time and embedded systems
simulated annealing
spline and piecewise polynomial approximation
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期刊

IEEE Transactions on Computers 封面图
IEEE Transactions on Computers
IF:
3.8
论文数:
5.4K
被引数:
9.8K

机构

University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
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