Results 61 to 70 of about 16,671 (310)

Accelerating Query-By-Humming On Gpu. [PDF]

open access: yes, 2009
[TODO] Add abstract here.
Pascal Ferraro   +3 more
openaire   +1 more source

GPU accelerated particle visualization with Splotch [PDF]

open access: yesAstronomy and Computing, 2014
Splotch is a rendering algorithm for exploration and visual discovery in particle-based datasets coming from astronomical observations or numerical simulations. The strengths of the approach are production of high quality imagery and support for very large-scale datasets through an effective mix of the OpenMP and MPI parallel programming paradigms ...
Marzia Rivi   +4 more
openaire   +5 more sources

Solvers on Advanced Parallel Architectures with Application to Partial Differential Equations and Discrete Optimisation [PDF]

open access: yes, 2014
This thesis investigates techniques for the solution of partial differential equations (PDE) on advanced parallel architectures comprising central processing units (CPU) and graphics processing units (GPU). Many physical phenomena studied by scientists
Czapinski, Michal
core  

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Accelerating advanced MRI reconstructions on GPUs [PDF]

open access: yesJournal of Parallel and Distributed Computing, 2008
Computational acceleration on graphics processing units (GPUs) can make advanced magnetic resonance imaging (MRI) reconstruction algorithms attractive in clinical settings, thereby improving the quality of MR images across a broad spectrum of applications. This paper describes the acceleration of such an algorithm on NVIDIA's Quadro FX 5600.
Sam S. Stone   +5 more
openaire   +2 more sources

GPU acceleration of a high-resolution fully compressible Navier-Stokes solver using OpenACC

open access: yes, 2022
openIn questo lavoro viene presentata l'accelerazione GPU (Graphic Processing Unit) di un solutore alle differenze finite delle equazioni di Navier-Stokes (unsteady, robust, all-around), URANOS.
SANDRIN, SIMONE
core  

Positively Charged Polymer‐Brush MOFs for Large‐Area, Pressure‐Resistant Gas Separation Membranes

open access: yesAdvanced Materials, EarlyView.
A universal POPA strategy enables positively charged polymer‐brush MOFs with self‐adaptive interfacial interlocking to resist aggregation under fast processing. This design ensures seamless dispersion within large‐area selective layers, achieving 1 m‐wide roll‐to‐roll fabrication of pressure‐resistant MMCMs with tunable CO2 separation performance ...
Yi Yang   +11 more
wiley   +1 more source

An efficient quantum circuit implementation of Shor’s algorithm for GPU accelerated simulation

open access: yesAIP Advances
In this study, we introduce a novel implementation of Shor’s algorithm specifically designed for the Graphics Processing Unit (GPU) acceleration framework.
XinJian Tan, Peng Gao
doaj   +1 more source

Intra-GPU Concurrency in BiCGStab Solvers: Leveraging CUDA Streams for Kernel-Level Parallelism

open access: yesComputation
The Biconjugate Gradient Stabilized (BiCGStab) algorithm is a widely used iterative method for solving large, sparse, and non-symmetric linear systems in scientific and engineering applications.
Ayaz H. Khan
doaj   +1 more source

Parallelization of K-Means Clustering Algorithm for Data Mining

open access: yesITM Web of Conferences, 2017
In this paper, we studied the parallelization of K-Means clustering algorithm, proposed a parallel scheme, designed a corresponding algorithm, and implemented the algorithm in GPU environment.
Jiang Hao, Yu Liyan
doaj   +1 more source

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