Results 31 to 40 of about 209,152 (323)

A scheduling theory framework for GPU tasks efficient execution [PDF]

open access: yes, 2018
Concurrent execution of tasks in GPUs can reduce the computation time of a workload by overlapping data transfer and execution commands.
A Allahverdi   +11 more
core   +2 more sources

NVIDIA at the Center of the Generative AI Ecosystem---For Now

open access: yesCommunications of the ACM, 2023
Assessing the ascent of NVIDIA.
M. Cusumano
semanticscholar   +1 more source

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

open access: yesInformation, 2020
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles
Sebastian Raschka   +2 more
doaj   +1 more source

Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System

open access: yesJournal of Advances in Modeling Earth Systems, 2022
Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional variational (4D‐Var)
Patrick Laloyaux   +3 more
doaj   +1 more source

Hardware dependencies of GPU-accelerated beamformer performances for microwave breast cancer detection

open access: yesCurrent Directions in Biomedical Engineering, 2016
UWB microwave imaging has proven to be a promising technique for early-stage breast cancer detection. The extensive image reconstruction time can be accelerated by parallelizing the execution of the underlying beamforming algorithms.
Salomon Christoph J.   +2 more
doaj   +1 more source

Multiple scenario profiling to improve power integrity analysis coverage

open access: yesDianzi Jishu Yingyong, 2018
The ultra-high transistor density and increasing frequency lead to more critical power integrity issues. Vector-dependent simulation based on FSDB generates more accurate analysis. It’s not practical to simulate full chip through the simulation cycle, it
Xu Huimin, Zhu Weiwei, Shi Jian′an
doaj   +1 more source

Methods for evaluating the adoption and use of digital technologies in GLAMs

open access: yesMethodsX, 2020
This article provides a method from which the breadth of adoption and use of digital technologies may be evaluated. Whilst the method can be used for individual devices, it was designed as a means for understanding the well-being of all devices within a ...
Eugene Ch’ng, Shengdan Cai
doaj   +1 more source

Meeting the challenge of JUNO simulation with Opticks: GPU optical photon acceleration via NVIDIA® OptiXTM [PDF]

open access: yesEPJ Web of Conferences, 2020
Opticks is an open source project that accelerates optical photon simulation by integrating NVIDIA GPU ray tracing, accessed via NVIDIA OptiX, with Geant4 toolkit based simulations.
Blyth Simon
doaj   +1 more source

Strategies for protecting intellectual property when using CUDA applications on graphics processing units [PDF]

open access: yes, 2016
Recent advances in the massively parallel computational abilities of graphical processing units (GPUs) have increased their use for general purpose computation, as companies look to take advantage of big data processing techniques. This has given rise to
Cheng J.   +7 more
core   +3 more sources

Residual corrective diffusion modeling for km-scale atmospheric downscaling

open access: yesCommunications Earth & Environment
State of the art for weather and climate hazard prediction requires expensive km-scale numerical simulations. Here, a generative diffusion model is explored for downscaling global inputs to km-scale, as a cost-effective alternative.
Morteza Mardani   +12 more
doaj   +1 more source

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