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ZDB optimizes the index for auto-incremental integer keys, and uses array to store this index for minimize memory usage which has zero overhead for keys.
PKDGRAV3 has been developed to minimize memory usage per particle (see below) and allow the maximal use of the available memory for particles.
The storage of sequences is designed to minimize memory usage for large collections using a 'proxy' storage concept.
Also, we cut the Sanger reads into fragments of length 80 bps before constructing the graph of unique l-mers in order to minimize memory usage.
Current efforts are, however, mostly focused to streamline the pipeline to maximize speed and minimize memory usage, to simplify installation of the package, to provide graphical support for interactive usage and to improve graphical reporting of the results.
Minimize memory usage of the index and optimize for auto-incremental integer keys and make the zero false positive rate of flash/disk reads key-value store.
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This minimizes memory usage as the only spectral information saved in memory is the one that corresponds to the current tone.
Therefore, to minimize the memory usage, we need to optimize the number of bits used for representing the track information.
For example, many previous studies focusing on minimizing the memory usage have developed on-disk indexing schemes, leading to lower performance.
We show that there is a dynamic programming algorithm for determining a schedule that minimizes data memory usage among the set of schedules that minimize program memory usage.
We then present Chain scheduling, an operator scheduling strategy for data stream systems that is near-optimal in minimizing run-time memory usage for single-stream queries involving selections, projections, and foreign-key joins with stored relations.
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