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An alternative design based on in-memory indexing allows better performance, but at the expense of greater memory usage.
Although SWA can also be used to calculate the exact α k, it has a disadvantage of greater memory usage than TSA.
Oases required much greater memory usage while Trinity had much longer run times (approximately 2-fold longer).
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While Kirrkirr already provides a number of interfaces to the lexical information, the challenge of creating new features and providing even greater flexibility lies in allowing the user to access certain parts of the XML database without the overhead of greater memory and time usage.
This speed could be increased by changing the coding language from MATLAB, which is simpler to use, to a language like C++ or Java where there is greater control over memory usage.
Such large-size matrices, however, pose a great challenge on the memory usage and speed of its normalization.
This is due to the intrinsic SIMD characteristics of the GPG, where pipelining allows a great speedup factor, yet intense memory usage may lead to bottlenecks.
Memory usage is a big problem for RLE.
This results in memory usage.
CPU time and memory usage.
Hence, the memory usage is about O(N).
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