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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922221/
Dec 05, 2011 · Such functions are common in scientific code, so designers have long studied how to accelerate them with lookup table (LUT) hardware [9,29]. Despite hardware support, software libraries often equal or exceed hardware performance, as shown in Table 1, possibly because software evolves more quickly than hardware .Cited by: 5
http://www.cs.colostate.edu/~wilcox/Papers/SP_Paper.pdf
214 C. Wilcox et al. / Tool support for software lookup table optimization the need to explore parameters such as the table size and sampling method that determine the tradeoff be-tweenperformanceandaccuracy.Thispaperpresentsa
http://www.cs.colostate.edu/~bieman/Pubs/WilcoxStroutBieman.SP11preprint.pdf
to improve the application of software LUT optimization. Our Mesa tool implements source-to-source transformations for C or C++ code to automate the tedious and error-prone aspects of LUT generation such as domain profiling, error analysis, and code generation. We evaluate Mesa with five scientific applications. Our results show a
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.8803
software lookup table optimization tool support scientific application lut optimization current practice domain profiling extensive experimentation tool implementation performance improvement mesa tool implement source-to-source transformation hydrology calculation lut method neural network application function result error-prone aspect code ...
https://content.iospress.com/doi/10.3233/SPR-2011-0329
A number of scientific applications are performance-limited by expressions that repeatedly call costly elementary functions. Lookup table (LUT) optimization accelerates the evaluation of such functions by reusing previously computed results. LUT methCited by: 5
https://www.hindawi.com/journals/sp/2011/813675/abs/
Tool Support for Software Lookup Table Optimization A number of scientific applications are performance-limited by expressions that repeatedly call costly elementary functions. Lookup table (LUT) optimization accelerates the evaluation of such functions by reusing previously computed results.Cited by: 5
http://cgi.cs.arizona.edu/~mstrout/Projects/MESA/
Aug 15, 2010 · Lookup table (LUT) optimization is a tuning approach that works by reducing the amount of computation performed by a scientific application. LUT optimizations precompute and store the results of complex expressions in a table, allowing a memory access to replace evaluation of those expressions during program execution.
https://www.mathworks.com/help/sldo/getting-started-with-simulink-design-optimization.html
Simulink ® Design Optimization™ provides functions, interactive tools, and blocks for analyzing and tuning model parameters. You can determine the model’s sensitivity, fit the model to test data, and tune it to meet requirements.
https://www.mathworks.com/products/sl-design-optimization/whatsnew.html
Support for Model Reference Variables: Tune and vary parameters of model reference blocks in Simulink ... Tune and analyze lookup table data in the Response Optimization and Sensitivity Analysis tools ... includes the following enhancements: Command-Line Requirements for Lookup Table Tuning: Impose constraints on table data, and apply pairwise ...
https://support.office.com/en-us/article/LOOKUP-function-446D94AF-663B-451D-8251-369D5E3864CB
Use LOOKUP, one of the lookup and reference functions, when you need to look in a single row or column and find a value from the same position in a second row or column.. For example, let's say you know the part number for an auto part, but you don't know the price. You can use the LOOKUP function to return the price in cell H2 when you enter the auto part number in cell H1.
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