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In addition, GPU algorithms must be designed with this limitation in mind, and in many cases, may be required to perform significantly more computations, in order to avoid using additional memory [18, 19].
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We present a run-time partitioning strategy, intended for such methods, that distributes work evenly across a team of processors and that can exploit the spatial localization present in the original computation in order to avoid high overhead costs.
It should be noted that excluding voxels based on intersection with the model is a non-trivial computation, requiring optimization in order to avoid significant overhead.
In the specific case of molecular computing, the design of robust sets of sequences prevent from incorrect computations because DNA sequences are designed in order to avoid potentially conflicting interactions between the DNA molecules within the artificially generated library.
All other data structures also require O(n) memory: we have ⌊ n b ⌋ counters for all current parallelograms and ⌊ n b ⌋ skip positions (in order to avoid computations of the Parallelogram q-hits Chaining Problem, as we described the difference between strategies PQCP and PHS).
Analytical evaluation of sensitivities is a time demanding task, and in order to avoid excessive computation times, distributed computing strategies have been implemented which can be considered as an additional benefit of this approach.
In order to avoid computation of a large-size R, we need to compute the normalized gene expression matrix X, by subtracting the mean over samples and dividing by the norm.
We have avoided nonlocal reduction methods in order to avoid algebraic computations until the sizes of the bases of -chain spaces are modest.
As a result, the proposed algorithm offers a significant optimization of the computational cost without compromising the output video quality, by taking into account the scaling mechanism and by restricting the involved operations in order to avoid useless computations.
In order to avoid redundant computations, our code distinguishes these three cases.
In order to avoid redundant computations, we precompute the alignments of all primer enumeration regions with itselves and the relevant combinations of cross-region alignments.
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