Results 61 to 70 of about 926 (201)
Accélération sur GPU d'une simulation radar avec OpenACC [PDF]
, 2019 International audienceCet article propose une méthodologie pour accélérer un environnement d'une simulation RADAR (RAdio Detecting And Ranging), en passant d'une implémentation sur processeur (CPU) à une implémentation sur puce graphique (GPU).
Enderli, Cyrille +4 more
core +8 more sources
Fluid-film lubrication computing with many-core processors and graphics processing units
Advances in Mechanical Engineering, 2018 The advancement of modern processors with many-core and large-cache may have little computational advantages if only serial computing is employed. In this study, several parallel computing approaches, using devices with multiple or many processor cores ...
Nenzi Wang, Hsin-Yi Chen, Yu-Wen Chen
doaj +1 more source
ERF: Energy Research and Forecasting Model
Journal of Advances in Modeling Earth Systems, Volume 17, Issue 11, November 2025.Abstract High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to remain performant on and portable across modern systems. Many of the widely adopted atmospheric modeling codes cannot fully (or in some cases, at all) leverage the ...
Aaron Lattanzi +10 more
wiley +1 more source
Programação paralela híbrida - avaliação de OpenACC [PDF]
, 2013 OpenACC é uma nova especificação para uma API de programação paralela híbrida (CPU + GPU), na qual o programador utiliza diretivas de compilação para distribuir a execução do programa entre a CPU e a GPU.
Chatain, Leonardo Piletti
core
A GPU‐Accelerated Generative Adversarial Model for Causal Inference
Concurrency and Computation: Practice and Experience, Volume 37, Issue 21-22, 25 September 2025.ABSTRACT We develop a GPU‐accelerated machine learning generative adversarial model designed to facilitate causal inferences from observational data. Our model's theoretical framework is conceptualized in a manner that is amenable to being operable and scalable for high‐performance computing platforms. We leverage GPU acceleration to develop a parallel
Wendy K. Tam, Yan Y. Liu
wiley +1 more source
, 2019 OpenACC 관련 툴을 사용하여 GPU 가속화(또는 최적화) 수행 기회를 제공하고 코드 최적화를 통한 연구문제 해결 및 거대 연구과제에 도전하는데 본 대회 개최 목적이 있습니다. 1팀은 인원 3~6명으로 구성되며 팀별 멘토는 2명이 배정됩니다.
KISTI과학데이터스쿨
core
Large‐Eddy Simulation of the Spray‐Laden Hurricane Boundary Layer: I. Spray Transport and Statistics
Journal of Geophysical Research: Atmospheres, Volume 130, Issue 17, 16 September 2025.Abstract For decades, theoretical, observational, numerical, and experimental efforts have sought to quantify the behavior of sea spray in the high‐wind boundary layer. A persistent problem, however, is that it is notoriously difficult to examine spray effects directly: observations are scarce, and numerical simulations are often idealized or lacking ...
David H. Richter +4 more
wiley +1 more source
PRACE Training Course: Directive-based GPU programming with OpenACC [PDF]
, 2021 GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU.
Herten, Andreas +4 more
core
CCAMP: OpenMP and OpenACC Interoperable Framework
, 2020 Heterogeneous systems have become a staple of the HPC environment. Several directive-based solutions, such as OpenMP and OpenACC, have been developed to alleviate the challenges of programming heterogeneous systems, and these standards strive to provide a single portable programming solution across heterogeneous environments. However, in many ways this
Jacob Lambert 0002 +3 more
openaire +2 more sources
Coupled Climate Simulations With E3SM‐MMF
Journal of Advances in Modeling Earth Systems, Volume 17, Issue 9, September 2025.Abstract Simulations of the recent historical period from 1950 to 2014 are conducted with E3SM‐MMF, which uses an embedded 2D cloud resolving model that runs efficiently on GPUs in place of traditional parameterizations for cloud and turbulence. Analysis of the climate and variability reveal several aspects where E3SM‐MMF produces smaller biases ...
W. M. Hannah +8 more
wiley +1 more source