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  1. 1801
    “…In this paper, we present the hybrid CPU-FPGA architecture of iDocChip along with the optimized software implementations of the anyOCR. …”
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    iDocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing
  2. 1802
    “…These models are evaluated in this study based on prediction accuracy and CPU time consumption.…”
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    An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging
  3. 1803
    “…The matrix-free solution to the equations, and Lagrangian advection of mesh-free nodes allowed for a fully parallelized implementation on the CPU and GPU, which ensured an affordable computing time and large time steps. …”
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    Lagrangian Differencing Dynamics for Time-Independent Non-Newtonian Materials
  4. 1804
    “…The proposed framework is tested in simulation using three UAVs and realistic 3D maps with up to 100 sensors and runs in just 20.7 s, a 33.3× speed-up compared to a sequential execution on CPU. The results show that the proposed method is efficient at calculating optimized trajectories for the UAVs for data acquisition from wireless sensors. …”
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    Parallel Algorithm on GPU for Wireless Sensor Data Acquisition Using a Team of Unmanned Aerial Vehicles
  5. 1805
    “…The runtime of the gpuZoo implementation in MATLAB and Python is up to 61 times faster and 28 times less expensive than multi-core CPU implementation of the same methods. gpuZoo is available in MATLAB through the netZooM package https://github.com/netZoo/netZooM and in Python through the netZooPy package https://github.com/netZoo/netZooPy.…”
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    gpuZoo: Cost-effective estimation of gene regulatory networks using the Graphics Processing Unit
  6. 1806
    “…In addition, the proposed model is implemented on both the CPU and the GPU, hence overcoming previous works by a value of 97.38% and 96% for training and validation and achieving high segmentation accuracy for testing with a small error of 0.006, in a short time process. …”
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    Deep learning based neural network application for automatic ultrasonic computed tomographic bone image segmentation
  7. 1807
    por Dritsas, Elias, Trigka, Maria
    Publicado 2022
    “…In addition, other power sources are the device screen, RAM, and CPU. The need for communication, entertainment, and computing makes the optimal management of the power consumption of these devices crucial and necessary. …”
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    Online Artículo Texto
    A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images
  8. 1808
    “…Several performance assessments were conducted on the developed system deployed in Raspberry Pi and Intel NUC PC, which showed acceptable platform resource utilization regarding CPU, bandwidth, and power consumption, with low service, update, and response time requirements. …”
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    An Aggregated Data Integration Approach to the Web and Cloud Platforms through a Modular REST-Based OPC UA Middleware
  9. 1809
    “…It supports highly-optimized, parallel computational kernels for (multi-node) CPU (Gholami et al., 2017; Mang et al., 2019; Mang & Biros, 2016) and (multi-node multi-)GPU architectures (Brunn et al., 2020, 2021). …”
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    CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures
  10. 1810
    “…On average, it took two seconds to process one case with a GPU and 2.4 s with a CPU. CONCLUSIONS: The deep learning approach has good performance for levator hiatus segmentation and good generalization ability on independent test sets. …”
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    Deep learning-based pelvic levator hiatus segmentation from ultrasound images
  11. 1811
    “…Moreover, different regions of the mouse brain were observed to be closely related to the concentration of NO, and the concentration of NO in the DG region was found to be lower than that in the S1BF, CA1, LD and CPu of the Alzheimer's disease (AD) mouse brain. …”
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    A two-photon ratiometric fluorescent probe for real-time imaging and quantification of NO in neural stem cells during activation regulation
  12. 1812
    por Bae, Chanhee, Lee, Seongjoo, Jung, Yunho
    Publicado 2022
    “…Experimental results showed that the proposed CWT processor can reduce the processing time by 48.4-fold and 40.7-fold compared to MATLAB software with Intel i7 CPU. Moreover, it can be confirmed that the proposed CWT processor can reduce the processing time by 73.3% compared to previous FPGA-based implementations.…”
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    High-Speed Continuous Wavelet Transform Processor for Vital Signal Measurement Using Frequency-Modulated Continuous Wave Radar
  13. 1813
    “…METHODS: In this paper, the convolutional neural network used for various image applications was studied and its acceleration in the various platforms like CPU, GPU, TPU was done. The neural network structure and the computing power and characteristics of the GPU, TPU was analyzed and summarized, the effect of these on accelerating the tasks is also explained. …”
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    Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics
  14. 1814
    “…Tofu is optimized for stand-alone GPU workstations on which it achieves reconstruction speed comparable with costly CPU clusters. It automatically utilizes all GPUs in the system and generates 3D reconstruction code with minimal number of instructions given the input geometry (parallel/cone beam, tomography/laminography), hence yielding optimal run-time performance. …”
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    Tofu: a fast, versatile and user-friendly image processing toolkit for computed tomography
  15. 1815
    por Ali, Jehad, Roh, Byeong-hee
    Publicado 2022
    “…The suggested controller also increases throughput while using the central processing unit (CPU) efficiently and reduces the recovery latency in case of failures in the network.…”
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    A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)
  16. 1816
    “…A total of 139 loci were identified as associated with the four traits with p < 1 × 10(−4) using two models (FarmCPU and MLM). The transcriptome data showed that 15 of them were expressed differentially in two maize-inbred lines KB182 (small kernel) and KB020 (big kernel) during kernel development. …”
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    Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize
  17. 1817
    por Wang, Yani, Dong, Jinfang, Wang, Bo
    Publicado 2022
    “…The computer is configured with 2.9 ghz CPU, 16 g memory, and i7 processor. The research mainly includes two parts: image matching efficiency analysis of multiscale model; matching accuracy analysis of multiscale model and formulation of model parameters. …”
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    Feature Matching Optimization of Multimedia Remote Sensing Images Based on Multiscale Edge Extraction
  18. 1818
    “…In addition, they do not have to include a central processing unit (CPU) and memory, which are required for von Neumann computing. …”
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    Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
  19. 1819
    por He, Siriguleng, Liu, Yang, Li, Hong
    Publicado 2022
    “…Furthermore, by comparing with the standard nonlinear implicit compact difference scheme, it can reduce the CPU time without loss of accuracy.…”
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    A Time Two-Mesh Compact Difference Method for the One-Dimensional Nonlinear Schrödinger Equation
  20. 1820
    “…RESULTS: Here, we present a new approach for nanopore adaptive sampling that combines fast CPU and GPU base calling with read classification based on Interleaved Bloom Filters. …”
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    ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing
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