Results 61 to 70 of about 4,239 (217)
Towards Predicting GPGPU Performance for Concurrent Workloads
, 2019 © 2019 IEEE.General-Purpose Graphics Processing Units (GPGPUs) have been widely adapted to the industry due to the high parallelism of Graphics Processing Units (GPUs) compared with Central Processing Units (CPUs).
Hyeonsang Eom +7 more
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GPU Hızlandırmalı Veri Demetleme Algoritmalarının İncelenmesi
Online Academic Journal of Information Technology, 2013 Veri demetleme algoritmaları, arama; spam, saldırı tespiti; hücre, gen, doküman analizi; moleküler dinamik simülasyonlarının biçimlerinin analizi gibi uygulamalar için oldukça önemlidirler.
Murat Hacıömeroğlu +1 more
doaj +1 more source
A Robust Parallel Computing Data Extraction Framework for Nanopore Experiments
Small Methods, Volume 8, Issue 12, December 19, 2024.NanoPlex is an application designed for fast analysis of single or multiple traces acquired from solid‐state nanopore experiments with the ability to handle large files from high‐bandwidth experiments. It delivers significant performance enhancement compared to other freely available analysis platforms fundamentally because of efficient data loading ...
Y. M. N. D. Y. Bandara +5 more
wiley +1 more source
, 2011 In this report we document our analysis ofGeneral-Purpose computations on GraphicsProcessing Units (GPGPU) and the practicalexperience that we have gained throughoutthe process.In the analysis chapter, we analyze the dier-ences between GPUs and CPUs ...
Juul, Søren +2 more
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A lattice Boltzmann approach to mathematical modeling of myocardial perfusion
International Journal for Numerical Methods in Biomedical Engineering, Volume 40, Issue 7, July 2024.A mathematical model of myocardial perfusion based on the lattice Boltzmann method and contrast agent transport based on advection–diffusion equation is proposed in 1D and 2D and its applicability is discussed in both healthy and diseased cases in relation to the perfusion magnetic resonance imaging exam.
Radek Fučík +4 more
wiley +1 more source
International Journal of Applied Mathematics and Computer Science, 2014 Effective, simulation-based trajectory optimization algorithms adapted to heterogeneous computers are studied with reference to the problem taken from alpine ski racing (the presented solution is probably the most general one published so far).
Dębski Roman
doaj +1 more source
Medical Physics, Volume 51, Issue 7, Page 4767-4777, July 2024.Abstract Background Auto‐segmentation of organs‐at‐risk (OARs) in the head and neck (HN) on computed tomography (CT) images is a time‐consuming component of the radiation therapy pipeline that suffers from inter‐observer variability. Deep learning (DL) has shown state‐of‐the‐art results in CT auto‐segmentation, with larger and more diverse datasets ...
Brett Clark +3 more
wiley +1 more source
, 2019 The combined finite–discrete element (FDEM) has become a well-accepted numerical technique to simulate the fracturing process of rocks under different loading conditions.
Mohammadnejad, M (15686348) +4 more
core
GPGPU in system simulations [PDF]
, 2020 Simulating systems can be computationally an expensive task. With the aid of graphics processing unit (GPU) in general-purpose computing one can execute programs exploiting GPU's massive parallelism to reduce throughput time in simulations. The objective
Majamaa, Mikko
core
Optimized massively parallel solving of N‐Queens on GPGPUs
Concurrency and Computation: Practice and Experience, Volume 36, Issue 10, 1 May 2024.Summary Continuous evolution and improvement of GPGPUs has significantly broadened areas of application. The massively parallel platform they offer, paired with the high efficiency of performing certain operations, opens many questions on the development of suitable techniques and algorithms.
Filippos Pantekis +3 more
wiley +1 more source