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We highlight our last CR approach which completely avoids updating conflicts of histogram calculation, leading to substantial performance improvements (up to 55× speedup over naive CPU implementation).
Despite having identical delay metrics as the existing generic state of the art, Area-Delay-Product efficiency metrics improvements up to 2.7 times can be achieved.
This one comes from an era of prosperity and an administration in City Hall that views parks as fundamental to city life, spending $700 million this year on capital improvements, up from about $50 million two decades ago.
The interval-based approach is further developed into a network selection procedure capable of significant improvements (up to 22%) in the worst-case error performance over a conventional network trained on crisp (single-valued) data.
Furthermore, the combination of the DNN-based and the classical i-vector system leads to additional performance improvements (up to 45% of relative improvement in both EER and Cavg on 3s and 10s conditions, respectively).
Our strategy has demonstrated an ability to find improvements up to 7.5% and up to 27% in context switches and L2 cache misses, respectively, and also discovers the most important bottlenecks involved in the application performance.
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The J (whose partner, the Z, narrowly avoided death this year), enjoyed the biggest improvement, up to 78percentt clean last year from 33percentt in the previous survey.
An improvement (up to 20%) in microhardness was observed in both as plated and vacuum heat-treated composite coatings compared to Ni P coatings.
In addition, the samples containing nanomagnetite exhibited compressive strength improvement (up to 20%%).
We can see once again a huge improvement (up to 30%) in BER for the LMS-DFE with respect to ΘIDFE.
Results obtained through our simulation shows that our proposed algorithm provides significant improvement (up to 38.4 % cost saving) compared to the previous research works.
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