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  1. 2081
    “…The method is implemented using Matlab on a personal computer (PC) platform with Intel Pentium Dual-Core CPU E5700. The method is validated on forty-two ultrasound images acquired from HIFU therapy. …”
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    Online Artículo Texto
    A Split-and-Merge-Based Uterine Fibroid Ultrasound Image Segmentation Method in HIFU Therapy
  2. 2082
    “…This approach can have a significant impact on practical electronic-photonic integration in high performance computers (HPC), cpu-memory interface, hybrid memory cube, and LAN, SAN, data center and network applications.…”
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    Online Artículo Texto
    Single-chip photonic transceiver based on bulk-silicon, as a chip-level photonic I/O platform for optical interconnects
  3. 2083
    “…With an efficient transcriptome indexing based on modified suffix arrays, EMSAR minimizes the use of CPU time and memory while achieving accuracy comparable to the best existing methods. …”
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    EMSAR: estimation of transcript abundance from RNA-seq data by mappability-based segmentation and reclustering
  4. 2084
    “…Molecular dynamics simulation (MD) is, just behind genomics, the bioinformatics tool that generates the largest amounts of data, and that is using the largest amount of CPU time in supercomputing centres. MD trajectories are obtained after months of calculations, analysed in situ, and in practice forgotten. …”
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    BIGNASim: a NoSQL database structure and analysis portal for nucleic acids simulation data
  5. 2085
    “…Furthermore, compared with the MD simulation in LAMMPS, our GPU-accelerated code is about 4 times faster than the GPU version of LAMMPS and at least 200 times faster than the CPU version of LAMMPS. This study clearly shows that GPU-accelerated MD simulation with GB potential in GALAMOST can efficiently handle systems with anisotropic particles and interactions, and accurately explore phase differences originated from molecular structures.…”
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    Online Artículo Texto
    GPU-Accelerated Molecular Dynamics Simulation to Study Liquid Crystal Phase Transition Using Coarse-Grained Gay-Berne Anisotropic Potential
  6. 2086
    “…For instance, for big-data social networks of 200 million users (e.g., Twitter users sending 500 million tweets/day), CI finds influencers in 2.5 hours on a single CPU, while all BP algorithms (CI(P), CI(BP) and BDP) would take more than 3,000 years to accomplish the same task.…”
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    Collective Influence Algorithm to find influencers via optimal percolation in massively large social media
  7. 2087
    “…In the present study, we investigated whether restoring descending noradrenergic inhibitory tone can attenuate pain in a PD rat model, which was established by stereotaxic infusion of 6-hydroxydopamine (6-OHDA) into the bilateral striatum (CPu). PD rats developed thermal and mechanical hypersensitivity at the 4th week after surgery. …”
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    Restoring Spinal Noradrenergic Inhibitory Tone Attenuates Pain Hypersensitivity in a Rat Model of Parkinson's Disease
  8. 2088
    “…Estimated breeding values (EBVs) were derived for both HG and HH at the four different ages and analyzed separately for GWAS by using the Fixed and random model Circuitous Probability Unification (FarmCPU) method. In total, 27 SNPs were identified to be significantly associated with HG and HH at different growth stages. …”
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    Genome-wide association studies identified multiple genetic loci for body size at four growth stages in Chinese Holstein cattle
  9. 2089
    por Lin, Hao-Ting
    Publicado 2017
    “…The MATLAB Simulink real-time system was a main control unit of a hardware-in-the-loop system proposed to establish driver blocks for analog and digital I/O, a linear encoder, a CPU and a large stroke asymmetric pneumatic rod-less system. …”
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    A Novel Real-Time Path Servo Control of a Hardware-in-the-Loop for a Large-Stroke Asymmetric Rod-Less Pneumatic System under Variable Loads
  10. 2090
    “…A detailed performance evaluation demonstrates that for different system configurations and hardware platforms, FUX-Sim maximizes performance with the CUDA programming model (5 times faster than other state-of-the-art implementations). Furthermore, the CPU and OpenCL programming models allow FUX-Sim to be executed over a wide range of hardware platforms.…”
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    FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems
  11. 2091
    “…With the full flexibility of the peptide retained, our AACG method achieves speedups by a factor of 3–4 for CPU time reduction and another factor of roughly 7 for diffusion. …”
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    A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
  12. 2092
    “…Our results indicate that the proposed algorithm has very high detection power for searching suspected disease models in the first stage and it is superior to some typical existing approaches in both detection power and CPU runtime for all these datasets. Application to age-related macular degeneration (AMD) demonstrates our method is promising in detecting high-order disease-causing models.…”
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    Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations
  13. 2093
    “…We evaluated the performance of fastBMA on synthetic data and experimental genome-wide time series yeast and human datasets. When using a single CPU core, fastBMA is up to 100 times faster than the next fastest method, LASSO, with increased accuracy. …”
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    Online Artículo Texto
    fastBMA: scalable network inference and transitive reduction
  14. 2094
    “…The energy is tracked at subcomponent level such as Central Processing Unit (CPU) cores, uncore components and Dynamic Random-Access Memory (DRAM) through exploiting the power measurement ability exposed by RAPL. …”
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    Evaluating architecture impact on system energy efficiency
  15. 2095
    “…The MCNPX calculation required 14.8 hours, whereas the Attila calculation required 22.2 minutes on a 1.8 GHz AMD Opteron CPU. Agreement between Attila and MCNPX dose calculations at the ICRU 38 points was within [Formula: see text]. …”
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    Comparison of a 3D multi‐group [Formula: see text] particle transport code with Monte Carlo for intercavitary brachytherapy of the cervix uteri
  16. 2096
    “…Using a normal Central Processing Unit (CPU), H-ELM's training time takes 445 seconds. Learning in S-CNN takes 770 seconds with a high performance Graphical Processing Unit (GPU).…”
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    Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models
  17. 2097
    “…For three example models of varying size, we show that for large numbers of simulations PySB/cupSODA achieves order-of-magnitude speedups relative to a CPU-based ordinary differential equation integrator. …”
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    GPU-powered model analysis with PySB/cupSODA
  18. 2098
    “…Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. …”
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    Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat
  19. 2099
    “…Notably, QIIME 2 was the most computationally expensive tool, with CPU time and memory usage almost 2 and 30 times higher than MAPseq, respectively. …”
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    Benchmarking taxonomic assignments based on 16S rRNA gene profiling of the microbiota from commonly sampled environments
  20. 2100
    “…Levels of 5-HT(1A), 5-HT(2A), and 5-HT(2C) receptors were measured in the prefrontal cortex (PFC), caudate putamen (CPu), nucleus accumbens (NAc), and hippocampus via Western Blot and receptor autoradiography. …”
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    Early antipsychotic treatment in juvenile rats elicits long-term alterations to the adult serotonin receptors
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