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  1. 2101
    “…Combining the multi-layer html5 canvas strategy with a space partitioning data structure minimizes CPU workload, enabling the introduction of new features that further enhance user experience. …”
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    Online Artículo Texto
    Reactome diagram viewer: data structures and strategies to boost performance
  2. 2102
    “…Experiment with preprocedural CCTA images of TAVI undergoing patients showed that our method is robust under high stenotic variation and notably efficient, as it requires only 12 milliseconds to localize all eight landmarks, as tested on a 3.60 GHz single-core CPU.…”
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    Online Artículo Texto
    Automatic aortic valve landmark localization in coronary CT angiography using colonial walk
  3. 2103
    “…As a result, we were able to map an error-corrected whole-genome NA12878 human assembly to the hg38 human reference genome in about 1 min total execution time and <4 GB memory using eight CPU threads, achieving significant improvement in memory-usage over competing methods. …”
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    Online Artículo Texto
    A fast adaptive algorithm for computing whole-genome homology maps
  4. 2104
    “…A simulation study shows good performance of OmicsPLS compared to alternatives, in terms of accuracy and CPU runtime. We demonstrate OmicsPLS by integrating genetic and glycomic data. …”
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    Online Artículo Texto
    Integrating omics datasets with the OmicsPLS package
  5. 2105
    por Frolova, Alina, Wilczyński, Bartek
    Publicado 2018
    “…While our previously developed tool BNFinder implements polynomial time algorithm, reconstructing networks with the large amount of experimental data still leads to computations on single CPU growing exceedingly. RESULTS: In the present paper we propose parallelized algorithm designed for multi-core and distributed systems and its implementation in the improved version of BNFinder—tool for learning optimal Bayesian networks. …”
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    Online Artículo Texto
    Distributed Bayesian networks reconstruction on the whole genome scale
  6. 2106
    “…When compared to a X86 CPU implementation, neural network training on the SpiNNaker 2 prototype improves power and energy consumption by two orders of magnitude.…”
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    Online Artículo Texto
    Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
  7. 2107
    “…In addition, a detector pre-trained by a CPU-optimized convolutional neural network is used to further improve the result of tracking. …”
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    Online Artículo Texto
    A Classification-Lock Tracking Strategy Allowing a Person-Following Robot to Operate in a Complicated Indoor Environment †
  8. 2108
    “…Then, impact of noise and CPU/GPU implementation was tested for speed and accuracy. …”
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    Online Artículo Texto
    Accuracy and Performance of Functional Parameter Estimation Using a Novel Numerical Optimization Approach for GPU-Based Kinetic Compartmental Modeling
  9. 2109
    “…We also present experimental results on runtime, scalability for larger datasets, memory, CPU utilization as well as parallelism of k-mer frequency estimation methods. …”
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    Online Artículo Texto
    Estimating the k-mer Coverage Frequencies in Genomic Datasets: A Comparative Assessment of the State-of-the-art
  10. 2110
    “…All analyses were performed by a multi-loci GWAS model, FarmCPU. The GWAS results of all four breeds indicate that five genome-wide significant SNPs were associated with ADG, and the nearby genomic regions explained 4.08% of the genetic variance and 1.90% of the phenotypic variance, respectively. …”
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    Genome-Wide Association Study Reveals Candidate Genes for Growth Relevant Traits in Pigs
  11. 2111
    “…Our study (which used more than 230 CPU years for the BAli-Phy analyses alone) shows that BAli-Phy has better precision and recall (with respect to the true alignments) than the other alignment methods on the simulated data sets but has consistently lower recall on the biological benchmarks (with respect to the reference alignments) than many of the other methods. …”
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    Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets
  12. 2112
    “…Furthermore, the typical processing time on CPU-base implementation of the proposed method is 2 min, which is much lower than the several hours required by the other methods. …”
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    Online Artículo Texto
    Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly
  13. 2113
    “…Further, ANN and SVM accuracy and prediction time is compared with T-test at 0.05 significance level which distinguished CPU training time is taken by ANN and SVM using K-fold and Hold out method. …”
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    Online Artículo Texto
    Prediction of students’ awareness level towards ICT and mobile technology in Indian and Hungarian University for the real-time: preliminary results
  14. 2114
    “…Benchmarking on a set of 10 antigens revealed that OptMAVEn-2.0 uses an average of 74% less CPU time and 84% less disk storage relative to OptMAVEn. …”
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    Online Artículo Texto
    OptMAVEn-2.0: De novo Design of Variable Antibody Regions against Targeted Antigen Epitopes
  15. 2115
    “…Data Repository of Antimicrobial Peptides (DRAMP, http://dramp.cpu-bioinfor.org/) is an open-access comprehensive database containing general, patent and clinical antimicrobial peptides (AMPs). …”
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    Online Artículo Texto
    DRAMP 2.0, an updated data repository of antimicrobial peptides
  16. 2116
    “…However, those methods require heavy computational resources and CPU time. In this study, using a state-of-the-art modeling technique, i.e., deep learning, we demonstrate significant reduction of computational costs during the optimization processes. …”
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    Design of a Broadband Solar Thermal Absorber Using a Deep Neural Network and Experimental Demonstration of Its Performance
  17. 2117
    “…METHODS: RAKI was implemented using CPU multi-processing and process pooling to maximize the utility of GPU resources. …”
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    Online Artículo Texto
    Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction
  18. 2118
    “…RESULTS: Simulation and real experiments verify the efficiency of the algorithm. Compared with the CPU‐based calculation, the acceleration ratios of the forward projection and the backprojection operation are 130 and 110, respectively. …”
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    Online Artículo Texto
    Comparison of GPU reconstruction based on different symmetries for dual‐head PET
  19. 2119
    “…The current method seems to be general and effective without requiring extensive CPU and spectroscopic resources.…”
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    Online Artículo Texto
    Assignment of Vibrational Circular Dichroism Cross‐Referenced Electronic Circular Dichroism Spectra of Flexible Foldamer Building Blocks: Towards Assigning Pure Chiroptical Properties of Foldamers
  20. 2120
    “…This device uses a new high-performance CPU board and is built on a custom-tailored Linux 3.6.9 operating system integrating with seismological processing. …”
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    Online Artículo Texto
    Performance Evaluation of a Dense MEMS-Based Seismic Sensor Array Deployed in the Sichuan-Yunnan Border Region for Earthquake Early Warning
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