Results 81 to 90 of about 34,039 (292)

hiperc-gpu-cuda-spinodal

, 2017
Solution to the CHiMaD Phase Field benchmark problem on spinodal decomposition using CUDA, with a 9-point discrete Laplacian ...
Keller, Trevor, Keller, Trevor (8231004)
core   +1 more source

Predicting Statistical Signatures of Collective Emission in Disordered Color Center Ensembles

Laser &Photonics Reviews, EarlyView.
We present an efficient simulation framework for modeling collective emission in disordered ensembles of quantum emitters. The low computational complexity enables large‐scale Monte Carlo simulations. Applied to SiV−${\rm SiV}^{-}$ clusters, it predicts thresholded superradiant bursts set by emitter number and quantum efficiency, as well as interaction‐
Qingyi Zhou, Wenxin Wu, Maryam Zahedian, Zongfu Yu, Jennifer T. Choy   +4 more
wiley   +1 more source

CUDA-LLM: LLMs Can Write Efficient CUDA Kernels

CoRR
Large Language Models (LLMs) have demonstrated strong capabilities in general-purpose code generation. However, generating the code which is deeply hardware-specific, architecture-aware, and performance-critical, especially for massively parallel GPUs, remains a complex challenge.
Wentao Chen, Jiace Zhu, Qi Fan, Yehan Ma, An Zou   +4 more
openaire   +2 more sources

CUDA-accelerated Computational Fluid Dynamics (NVIDIA Webinar)

, 2019
This webinar discusses how NVIDIA GPUs and NVIDIA CUDA can enable high-fidelity Computational Fluid Dynamics for Higher Education and Research. Flow field computations for transient and turbulent flow problems are very compute-intensive and time ...
Asmuth, Henrik, Asmuth, Henrik (6879965), Gehrke, Martin, Mierke, Dennis (6879959), Mierke, Dennis, Gehrke, Martin (6879962), Janßen, Christian F., Janßen, Christian F. (6879956)   +7 more
core   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

Анализ эффективности гибридного параллельного алгоритма численного решения задачи Коши для эредитарных моделей объемной активности радона в рамках программного комплекса FEVO

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki
В статье представлено исследование вычислительной эффективности гибридного параллельного алгоритма, реализующего нелокальную неявную конечно-разностную схему (IFDS) для численного решения задачи динамики объемной активности радона (ОАР).
Твёрдый, Д.А.
doaj   +1 more source

Simulation of the Rotational Molding Process of Polyethylene Using the Smoothed Particle Hydrodynamics Method

Polymer Engineering &Science, EarlyView.
Numerical simulation of polyethylene rotational molding using the Smoothed Particle Hydrodynamics (SPH) method. ABSTRACT This work presents the development of a numerical model based on the smoothed particle hydrodynamics (SPH) method to simulate the rotational molding process of powder thermoplastic polymers, used in the manufacture of liners for high‐
Ali Nourreddine, Albert Lucas, Séverine Boucaud‐Gauchet, Abbas Tcharkhtchi, Sofiane Khelladi   +4 more
wiley   +1 more source

Distinct Conformational Switches Control WPD‐Loop Dynamics Across Protein Tyrosine Phosphatase Subfamilies

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Protein Tyrosine Phosphatases (PTPs) regulate cellular signaling by balancing phosphotyrosine levels through a conserved WPD‐loop that switches between open (inactive) and closed (active) conformations. While this conformational change is crucial for catalysis, the structural factors governing this motion remain poorly understood.
Colin L. Welsh, Lalima K. Madan
wiley   +1 more source

Applying of parallel development on the base of CUDA technology in multidimensional optimization problems

, 2022
Кваліфікаційна робота присвячена використанню паралельних обчислень для максимального пришвидшення процесу отримання екстремуму в задачах багатовимірної оптимізації.
Воронка, Андріян Олегович, Voronka, Andriian   +1 more
core   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source