Results 41 to 50 of about 4,836 (230)
Scalable Computation of Topological Abstractions for Scalar Data
Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will +6 more
wiley +1 more source
ABSTRACT This paper presents novel GPU implementation strategies that effectively exploit the available parallelism, based on the “more work per thread” approach, for three machine learning design exploration tasks: Multiple K‐means evaluation, dimensionality reduction through parallel K‐means encoding for XGBoost trees, and XGBoost tree pruning ...
Olavo Barros +8 more
wiley +1 more source
GPU-Accelerated PSO for High-Performance American Option Valuation
Using artificial intelligence tools to evaluate financial derivatives has become increasingly popular. PSO (particle swarm optimization) is one such tool. We present a comprehensive study of PSO for pricing American options on GPUs using OpenCL.
Leon Xing Li, Ren-Raw Chen
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Implementation of the parallel mean shift-based image segmentation algorithm on a GPU cluster
The mean shift image segmentation algorithm is very computation-intensive. To address the need to deal with a large number of remote sensing (RS) image segmentations in real-world applications, this study has investigated the parallelization of the mean ...
Fang Huang +6 more
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OpenCL realization of some many-body potentials [PDF]
Modeling of carbon nanostructures by means of classical molecular dynamics requires a lot of computations. One of the ways to improve the performance of basic algorithms is to transform them for running on SIMD-type computing systems such as systems with
A. S. Minkin +2 more
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Abstract Background and purpose The AAPM TG‐43 formalism has long served as the clinical standard for brachytherapy dose calculation but assumes a homogeneous water equivalent medium, overlooking limited scattering conditions and tissue heterogeneities.
Dat Tran +4 more
wiley +1 more source
Parallel programming is increasingly used to improve the performance of solving numerical methods used for scientific purposes. Numerical methods in the field of fluid dynamics require the calculation of a large number of operations per second.
TEKIC, J., TEKIC, P., RACKOVIC, M.
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Optimized Parallel Reduction for Regular and Irregular Segments on GPU
ABSTRACT Reduction is an operation that combines all the elements of a collection by applying a binary operation, such as sum, maximum, or minimum, to all the elements to obtain a single resulting value. This paper investigates implementation strategies for both segmented and non‐segmented reduction on GPUs.
Michel B. Cordeiro, Wagner M. Nunan Zola
wiley +1 more source
Towards portable performance for explicit hydrodynamics codes [PDF]
Significantly increasing intra-node parallelism is widely recognised as being a key prerequisite for reaching exascale levels of computational performance.
Herdman, J. A. +4 more
core
Parallelisation of equation-based simulation programs on heterogeneous computing systems [PDF]
Numerical solutions of equation-based simulations require computationally intensive tasks such as evaluation of model equations, linear algebra operations and solution of systems of linear equations.
Dragan D. Nikolić
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