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  1. 2421
    “…The computer hardware for Closha is 660 CPU cores and 800 TB of disk storage, enabling 500 jobs to run at the same time. …”
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    Closha: bioinformatics workflow system for the analysis of massive sequencing data
  2. 2422
    “…Indicators of health care supply were the number of general practitioners, internists, and cardiologists, number of internal medicine and cardiology beds, chest pain units (CPU), cardiac catheterization laboratories (CCL) and stroke units. …”
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    Prevalence, Mortality, and Indicators of Health Care Supply—Association Analysis of Cardiovascular Diseases in Germany
  3. 2423
    “…Whereas, most of previous general solutions failed to reach this goal due to the facts that (i) high computational complexity and heterogeneous operation steps in the tracking models and (ii) parallelism-limited and bloated hardware platforms (e.g., CPU/GPU). Although previously proposed devices leverage neural dynamics and near-data processing for efficient tracking, their flexibility is limited due to the tight integration with vision sensor and the effectiveness on various video datasets is yet to be fully demonstrated. …”
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    Fast Object Tracking on a Many-Core Neural Network Chip
  4. 2424
    “…Using mass-spectrometry benchmarks, we show that our proposed FPGA design outperforms both CPU and GPU implementations, with an average speedup of 144x and 21x, respectively. …”
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    Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks
  5. 2425
    “…Experiments were run on an Intel Xeon Gold 6128 CPU @ 3.40 GHz with 16 GB of RAM memory and a NVIDIA GeForce TiTan V VOLTA 12 GB, for 20 epochs. …”
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    Detection of smoking status from retinal images; a Convolutional Neural Network study
  6. 2426
    por Zanotti, Olindo, Dumbser, Michael
    Publicado 2016
    “…For the RHD and RMHD equations, the overall accuracy is improved and the CPU time is reduced by about 25 %. Because of its increased accuracy and due to the reduced computational cost, we recommend to use this version of ADER as the standard one in the relativistic framework. …”
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    Efficient conservative ADER schemes based on WENO reconstruction and space-time predictor in primitive variables
  7. 2427
    “…In this paper, we propose a fast Fourier transform (FFT) enhanced high-speed and large-scale (HiLS) PA scheme on commercial CPU platform without increasing dedicated computational devices. …”
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    High-speed and Large-scale Privacy Amplification Scheme for Quantum Key Distribution
  8. 2428
    “…RESULTS: GWAS were conducted with the FarmCPU (Fixed and random model circulating probability unification) method. …”
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    Genome-wide association study of milk and reproductive traits in dual-purpose Xinjiang Brown cattle
  9. 2429
    “…With these enhancements, the optimized GPU implementation was on average an estimated 12,144 times faster than the original integer matrix based CPU implementation, for the 3-hit algorithm, allowing us to identify 3-hit combinations. …”
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    Identifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU
  10. 2430
    “…Furthermore, our lightweight model is competitive on CPU-based wearable hardware.…”
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    A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study
  11. 2431
    “…Approximately 14 million CPU core-hours were expended to generate this data. …”
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    The ANI-1ccx and ANI-1x data sets, coupled-cluster and density functional theory properties for molecules
  12. 2432
    por Jain, Kartik
    Publicado 2020
    “…LBM computations with various spatial and temporal resolutions are performed—in the extremities of 45 million to 2.88 billion lattice cells—executed respectively on 32 CPU cores of a desktop to more than 300,000 cores of a modern supercomputer to explore and characterize miniscule flow details and quantify Kolmogorov scales. …”
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    Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime
  13. 2433
    por Shahbazi, Zeinab, Byun, Yung-Cheol
    Publicado 2020
    “…Hyperledger Caliper, a benchmarking tool, is used to evaluate the performance of the blockchain system in terms of CPU utilization, memory, and memory utilization. …”
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    Towards a Secure Thermal-Energy Aware Routing Protocol in Wireless Body Area Network Based on Blockchain Technology
  14. 2434
    “…GWAS analysis using Fixed and random model Circulating Probability Unification (FarmCPU) identified a total of 47 significant marker-trait associations (MTAs) for total tiller number (TTN) and fertile tiller number (FTN) in Iranian bread wheat under different water regimes. …”
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    Detection of genomic regions associated with tiller number in Iranian bread wheat under different water regimes using genome-wide association study
  15. 2435
    “…Flexi-pharma is computationally efficient allowing for the screening of thousands of compounds in minutes on a single CPU core. Moreover, the ranking of molecules by vote is a general strategy that can be applied with any pharmacophore-filtering program. …”
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    Flexi-pharma: a molecule-ranking strategy for virtual screening using pharmacophores from ligand-free conformational ensembles
  16. 2436
    “…De novo assembly of a human genome using nanopore long-read sequences has been reported, but it used more than 150,000 CPU hours and weeks of wall-clock time. To enable rapid human genome assembly, we present Shasta, a de novo long-read assembler, and polishing algorithms named MarginPolish and HELEN. …”
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    Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes
  17. 2437
    “…By utilizing GPUs, we achieve around a 30-fold speedup in protein and protein-DNA simulations over the existing LAMMPS-based implementations running on a single CPU core. We showcase the benefits of OpenMM’s Custom Forces framework by devising and implementing two new potentials that allow us to address important aspects of protein folding and structure prediction and by testing the ability of the combined OpenAWSEM and Open3SPN2 to model protein-DNA binding. …”
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    OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations
  18. 2438
    por Nikolić, Dragan D.
    Publicado 2018
    “…The OpenMP and OpenCL implementations are tested on three medium-scale models using a multi-core CPU, a discrete GPU, an integrated GPU and heterogeneous computing setups. …”
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    Parallelisation of equation-based simulation programs on heterogeneous computing systems
  19. 2439
    “…GeneRax completed tree inferences and reconciliations for 1,099 Cyanobacteria families in 8 min on 512 CPU cores. Thus, its parallelization scheme enables large-scale analyses. …”
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    GeneRax: A Tool for Species-Tree-Aware Maximum Likelihood-Based Gene  Family Tree Inference under Gene Duplication, Transfer, and Loss
  20. 2440
    “…PURPOSE: To commission MCsquare (a multi-cores CPU-based dose calculation engine) for pencil beam scanning (PBS) proton therapy, integrate it into RayStation treatment plan system (TPS) to create a dedicated platform for fast independent dose verification. …”
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    Fast MCsquare-Based Independent Dose Verification Platform for Pencil Beam Scanning Proton Therapy
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