Results 21 to 30 of about 79,266 (321)
Research on Optimization of Heterogeneous Stencil Computing Based on CPU and GPU [PDF]
Jisuanji gongcheng, 2023 As a type of algorithm that uses fixed pattern templates, stencil computing is widely employed in image processing, computational fluid dynamics simulations, and other fields.However, existing stencil computing approaches exhibit problems such as weak ...
LI Bo, HUANG Dongqiang, JIA Jinfang, WU Li, WANG Xiaoying, HUANG Jianqiang
doaj +1 more source
Detecting Undefined Behaviors in CUDA C
IEEE Access, 2019 With the increasing deployment of GPUs in many domains, it is important to enhance the dependability of GPU-based systems especially in mission critical environments.
Wentao Li, Jianhua Sun, Hao Chen
doaj +1 more source
Parallel Implementation of Sparse Distributed Memory for Semantic Storage
Кібернетика та комп'ютерні технології, 2022 Introduction. Sparse Distributed Memory (SDM) and Binary Sparse Distributed Representations (Binary Sparse Distributed Representations, BSDR), as two phenomenological approaches to biological memory modelling, have many similarities.
Ruslan Vdovychenko, Vadim Tulchinsky
doaj +1 more source
NOVASINERGIA, 2023 Currently, several real-world optimization problems have been mathematically modeled. The modeling process considers as much information as possible to provide valid results, and the obtained model is commonly computationally solved. However,
Manuel Guiracocha +2 more
doaj +1 more source
Geofísica Internacional, 2014 En este trabajo se estudia un modelo de flujo bifásico (agua-aceite) en un medio poroso homogéneo considerando un desplazamiento inmiscible e incompresible.
Luis Miguel de la Cruz, Daniel Monsivais
doaj +1 more source
Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes
Journal of Open Research Software, 2023 Fan-Slicer (https://github.com/UCL/fan-slicer) is a Python package that enables the fast sampling (slicing) of 2D ultrasound-shaped images from a 3D volume. To increase sampling speed, CUDA kernel functions are used in conjunction with the Pycuda package.
João Ramalhinho +3 more
doaj +1 more source
Strategies for protecting intellectual property when using CUDA applications on graphics processing units [PDF]
, 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
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms [PDF]
, 2015 Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning required for fault diagnosis ...
Macías Ramos, Luis Felipe +2 more
core +1 more source
GSGP-CUDA — A CUDA framework for Geometric Semantic Genetic Programming
SoftwareX, 2022 14 pages, 3 ...
Leonardo Trujillo +4 more
openaire +3 more sources
Vox PatrumTekst prezentuje polski przekład pięciu cudów św. Menasa zawartych w synaksarionie skomponowanym w XII wieku na terenie Cesarstwa Bizantyńskiego. We wstępie omówione zostały okoliczności powstania kolekcji a następnie wskazane zostały najistotniejsze ...
Katarzyna Piotrowska
doaj +1 more source