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UIR size varies over a wide range with genomic noncoding sequence, whereas the coding size of genes is relatively invariant across species.
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We also had trouble keeping the code size small enough to fit in program memory.
We also present an adaptation of our dynamic programming technique for post-optimizing an arbitrary (not necessarily minimum code size) schedule to optimally reduce the code size.
A possible solution to counter this is to compress these control words to reduce the code size of the application.
Apart from making the code size larger than it need be, duplicate code is a barrier to effective maintenance.
Therefore, a better way of exposing more ISA registers without significantly expanding the code size is needed.
The code has been in production for the better part of a month now and helped dramatically collapse the code size and complexity in a way that I feel will be simple to maintain.
The code size for the target system including baseline JPEG Codec and all other image processing pipeline operators described in the following sections is 31 Kb.
In the existing techniques, especially for weight w more than one, the weight is always fixed to the maximum number of users (i.e. the code size).
We found that the code size decreases by as much as 8% (5.8% on average) while the performance improves by as much as 11.1% (3.3% on average).
However, increasing the number of architectural registers by simply adding extra bits to the register fields of instructions will expand the code size.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com