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Through computer simulations, among others, we show that decreasing the confidence that decision based on the finite portion of the stream is the same as based on the whole (infinite) data stream only slightly improves the accuracy at the expense of significant memory consumption.
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Meanwhile, the use of Mapping Bloom filter (MBF) [12] and multi-level hardware memory further improve the lookup speed in MaFIB, reduces the frequency of access to memory and realizes significant reduction in memory consumption.
For instance, the SQL Server Express SKUs have significant limits on processor and memory consumption.
Based on initial experiments, not included in this paper, l is chosen as 6, which reduces memory consumption by more than a factor of two and has no significant impact on speed.
We pay attention to keeping our approach efficient in terms of both time and memory consumption and also in terms of memory transfers between CPU and GPU which have a significant inuence on overall computational time.
The experimental results show significant advantages of the proposed directly slicing method over the conventional STL based method both in terms of time and memory consumption.
usage, memory consumption and network traffic.
The next version will further reduce memory consumption.
We analyze solvers' limitations, solving time, and memory consumption.
"Clearly it was significant memory fail on my part".
Index memory consumption.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com