Sentence examples for multiple benchmarks and from inspiring English sources

Using multiple benchmarks and performance measurements on the US Oak Ridge National Laboratory Titan supercomputer, we demonstrate that our code PKDGRAV3, delivers, to our knowledge, the fastest time-to-solution for large-scale cosmological N-body simulations.

It has previously been demonstrated that CFO is effective when compared with other metaheuristic techniques when applied to multiple benchmark problems and some real world applications.

We also extend their study by (1) including additional experimental data for benchmarking, (2) testing multiple codes for multiple benchmarks, (3) evaluating both model accuracy and CPU efficiency, and (4) interpreting experimentally based benchmarking results in the context of natural lava flows.

In the current era of sustainable development, energy planning has become complex due to the involvement of multiple benchmarks like technical, social, economic and environmental.

The proposed algorithm is compared with standard NSGA-II on multiple benchmarks.

Experiments show that our approach provides consistent improvements over the state of the art results on multiple benchmarks.

Extensive experiments on multiple benchmarks demonstrate that the proposed model consistently performs better than conventional convolutional networks on classifying fine-grained object classes in low-resolution images.

Multiple benchmarks are used to evaluate the Cloud performance such as TPC-W (a transactional web e-Commerce benchmark) [2], HPCC (a software suite consisting of 7 basic benchmarks) [3 5], NPB (set of parallel benchmarks to evaluate the performance of parallel supercomputers) [5, 6] or common measurement tools such as ping or iperf [7, 8].

Trump is way behind on multiple benchmarks set by previous presidents.

The threshold was optimized by combining multiple benchmarks (see below).

In addition to demonstrating the predictive capabilities of FATHMM on multiple benchmarks representing human mutations, we have applied it in practice to a large dataset of nsSNPs in wheat (Triticum spp).