Πλοήγηση ανά Θέμα "Graphics processing unit"
Αποτελέσματα 1-8 από 8
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A Combinatorial Multigrid Preconditioned Iterative Method for Large Scale Circuit Simulation on GPU s
(2018)Efficient large scale circuit simulation is among the most challenging problems facing the EDA industry today, since it is the only feasible way to verify a circuit's behaviour prior to manufacturing. In recent years, the ... -
Comparative performance analysis of vulkan implementations of computational applications
(2019)The recent introduction of the Vulkan API and the SPIR-V intermediate-level language by the Khronos Group provides a new GPU programming model in an effort to combine the advantages of its predecessors, OpenGL for 3D ... -
Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
(2022)Historically, geoscience has been a prominent domain for applications of computer vision and pattern recognition. The numerous challenges associated with geoscience-related imaging data, which include poor imaging quality, ... -
GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Disk-Resident Data
(2021)Algorithms for answering the k Nearest-Neighbor (k-NN) query are widely used for queries in spatial databases and for distance classification of a group of query points against a reference dataset to derive the dominating ... -
An Improved GPU-based Algorithmfor Processing the k Nearest Neighbor Query
(2020)The k Nearest Neighbor (k-NN) query is a common spatial query that appears in several big data applications. We propose and implement a new GPU-based algorithm for the k-NN query, which improves our previous Symmetric ... -
In-memory k nearest neighbor GPU-based query processing
(2020)The k Nearest Neighbor (k-NN) algorithm is widely used for classification in several application domains (medicine, economy, entertainment, etc.). Let a group of query points, for each of which we need to compute the k-NNs ... -
Parallel Fast Transform-Based Preconditioners for Large-Scale Power Grid Analysis on Graphics Processing Units (GPUs)
(2016)Efficient analysis of on-chip power delivery networks is one of the most challenging problems facing the electronic design automation industry today. The fast dc and transient simulation of power grids is necessary to ... -
A Partitioning GPU-based Algorithm for Processing the k Nearest-Neighbor Query
(2020)The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main ...