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Micro-Optimization of Floating-Point Operations

机译:浮点运算的微优化

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This paper describes micro-optimization, a technique for reducing the operation count and time required to perform floating-point calculations. Micro optimization involves breaking floating-point operations into their constituent micro-operations and optimizing the resulting code. Exposing micro-operations to the compiler creates many opportunities for optimization. Redundant normalization operations can be eliminated or combined. Also, scheduling micro-operations separately allows dependent operations to be partially overlapped. A prototype expression compiler has been written to evaluate a number of micro-optimizations. On a set of benchmark expressions operation count is reduced by 33% and execution time is reduced by 40%. (KR)

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