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For example, there are some large-scale problems that would take tens or hundreds of years to compute on a classical machine —rendering them essentially intractable — but if suitable quantum hardware existed, the corresponding quantum algorithm could allow those tasks to be solved in hours instead of decades.
We then compute, on a daily basis, two behavioral indexes, using the credit card transaction data: 1. consumer action: the number of unique customers who made transactions at stores inside the neighborhood; 2.
This final step required approximately 6.5 days to compute on a dual processor 2.7 GHz PowerMac G5.
The performance scales roughly linearly with the amount of DNA to be processed; for example, a medium sized metagenome (C1-oxidisers in lake water [ 48], at 37 Mb) requires about 30 hours to compute on a single CPU; a larger metagenome (220 Mb from a hot spring) requires close to 200 hours.
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So the method was difficult on using parallel computing on a computer.
Row 2: many-to-one HT computed on a contour image and used with a coarse grained quantised parameter space.
The computational results demonstrated a promising direction for high speed optimization with desktop parallel computing on a personal computer (PC).
The illustrated example was computed on a typical user desktop without additional high-end components or computational clusters.
Grades are computed on a curve based on ranking.
Similarly, as in the case of users, this can be computed on a per-topic or per-user-group basis.
The convex hull of remaining points is computed on a CPU.
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