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For unsteady problems, such as the Rayleigh Taylor instability, the memory costs and the computational time have been reduced by up to 50%.
We could not conduct such simulations because of huge memory costs and computation time.
The performance analysis shows that the protocols have superior running time performance, less memory costs, and so forth.
As it scaled, Facebook encountered problems with PHP, including high CPU and memory costs and difficulty developers faced to build extensions.
However, to achieve higher accuracy near curved boundaries in a voxelated domain, one has to increase the global density of the grid resulting in a significant increase in memory costs and execution time.
CAT is both a fast approximation of the gamma model (due to its lower computational and memory costs) and one that appears to yield better log likelihood scores even when calculated under a real gamma model [ 115], and therefore is ideally suited to large, computationally intensive data matrices such as ours.
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For dynamically changing trees, a trade-off between the pattern detection and memory storage costs and the amount of saved computations needs to be achieved.
We provide three strategies that integrate memory cost and computing efficiency.
Performance variables of interest are: profile lookup and update response times, memory cost, and system equipment price.
Furthermore, both the memory cost and time consumption of this algorithm are linear, and the algorithm is readily to extend to parallel computing.
Furthermore, a distance based clustering technique is proposed to reduce the memory cost and a test-time augmentation procedure is used to improve the accuracy.
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