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An example application for design exploration that could facilitate the identification of an optimal cache configuration and code profile for a target application was discussed.
Then, we derived the key algebraic relationships among multidimensional LDPC constituent codes as one of the constraints for code profile optimization.
Our detailed analyses on yeast whole-genome histone modification (HM) code profile have shown that duplicate genes share more common HM-code patterns than randomized singleton pairs in their promoter and ORF regions, and the HM-code divergence between duplicates in both regions increase with the sequence divergence.
The organism was positive for catalase and oxidase, and routine identification procedures with the API 20NE kit and database release 6.0 (bioMérieux, Marcy l'Etoile, France) produced the numerical code profile 1066157 which, according to the database, was a good identification (98.9% T 0.42) as B. cepacia.
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This chapter focuses on the source code profiling for ASIP design and supplies profiling examples of advanced applications.
Visualizing code profiling line oriented statistics.
Most source code profiling is for software design and optimization.
Code profiling can be hardware-dependent or hardware-independent.
This concerns tools for application source code profiling.
The hardware-independent code profiling gives basic arithmetic computing costs of the source code.
Source code profiling for designing ASIP assembly instruction sets is discussed here.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com