Results 61 to 70 of about 28,341 (292)
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Serial and parallel implementation of Needleman-Wunsch algorithm
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 Needleman-Wunsch dynamic programming algorithm measures the similarity of the pairwise sequence and finds the optimal pair given the number of sequences.
Yun Sup Lee, Yu Sin Kim, Roger Luis Uy
doaj +1 more source
puzzlef/pagerank-cuda-block-adjust-launch: Comparing various launch configs for CUDA block-per-vertex based PageRank [PDF]
, 2021 <blockquote><p>Part of the report <a href="https://gist.github.com/wolfram77/4ef16ab9699ac03a617b8731dd240e1f">Parallelizing PageRank for a Volta GPU</a>.</p> </blockquote> <p>--</p> <p>Comparing ...
Subhajit Sahu
core +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Neural network training acceleration using NVIDIA CUDA technology for image recognition
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012 In this paper, an implementation of neural network trained by algorithm based on Levenberg-Marquardt method is presented. Training of neural network increased by almost 9 times using NVIDIA CUDA technology.
Alexander A Fertsev
doaj
Generative AI Model For Semantic Image Construction From Audio Prompts [PDF]
ITM Web of ConferencesGenerative AI is a platform which produces many types of content. It enables users to develop images via description of them in words. Also it is a fact that most of our communication is through speech as opposed to writing. In this study we present what
H R Mithuna +6 more
doaj +1 more source
Efficient Use of GPU Memory for Large-Scale Deep Learning Model Training
Applied Sciences, 2021 To achieve high accuracy when performing deep learning, it is necessary to use a large-scale training model. However, due to the limitations of GPU memory, it is difficult to train large-scale training models within a single GPU.
Hyeonseong Choi, Jaehwan Lee
doaj +1 more source
{CUDA}: Set constraints on GPUs
, 2021 Summary: Set constraints have been introduced in declarative programming languages in the Nineties as a consequence of a broader research on programming with sets and on computable set theory. General Purpose Graphics Processing Units (GPUs), originally developed for graphical purposes (e.g., for high definition video games), emerged recently as a ...
DOVIER AGOSTINO +3 more
openaire +4 more sources
Applying of parallel development on the base of CUDA technology in multidimensional optimization problems [PDF]
, 2022 Кваліфікаційна робота присвячена використанню паралельних обчислень для максимального пришвидшення процесу отримання екстремуму в задачах багатовимірної оптимізації.
Воронка, Андріян Олегович +1 more
core
puzzlef/sum-cuda-memcpy-adjust-duty: Comparing various per-thread duty numbers for CUDA based vector element sum [PDF]
, 2021 <blockquote><p>Part of the report <a href="https://gist.github.com/wolfram77/4ef16ab9699ac03a617b8731dd240e1f">Parallelizing PageRank for a Volta GPU</a>.</p> </blockquote> <p>--</p> <p>Comparing ...
Subhajit Sahu
core +1 more source