Results 1 to 10 of about 14,364 (308)
GPU acceleration of Darwin read overlapper for de novo assembly of long DNA reads [PDF]
BMC Bioinformatics, 2020 Background In Overlap-Layout-Consensus (OLC) based de novo assembly, all reads must be compared with every other read to find overlaps. This makes the process rather slow and limits the practicality of using de novo assembly methods at a large scale in ...
Nauman Ahmed +3 more
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FUNWAVE‐GPU: Multiple‐GPU Acceleration of a Boussinesq‐Type Wave Model
Journal of Advances in Modeling Earth Systems, 2020 This paper documents development of a multiple‐Graphics Processing Unit (GPU) version of FUNWAVE‐Total Variation Diminishing (TVD), an open‐source model for solving the fully nonlinear Boussinesq wave equations using a high‐order TVD solver.
Ye Yuan +3 more
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GPU Acceleration of CFD Simulations in OpenFOAM
Aerospace, 2023 We introduce algorithmic advancements designed to expedite simulations in OpenFOAM using GPUs. These developments include the following. (a) The amgx4Foam library, which connects the open-source AmgX library from NVIDIA to OpenFOAM.
Federico Piscaglia, Federico Ghioldi
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GPU Acceleration of Melody Accurate Matching in Query-by-Humming [PDF]
The Scientific World Journal, 2014 With the increasing scale of the melody database, the query-by-humming system faces the trade-offs between response speed and retrieval accuracy. Melody accurate matching is the key factor to restrict the response speed.
Limin Xiao +4 more
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Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm [PDF]
The Scientific World Journal, 2014 We first present two GPU implementations of the standard Inverse Distance Weighting (IDW) interpolation algorithm, the tiled version that takes advantage of shared memory and the CDP version that is implemented using CUDA Dynamic Parallelism (CDP).
Gang Mei
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Bayesian Optimization With GPU Acceleration for Ocean Models [PDF]
Journal of Geophysical Research: Machine Learning and ComputationOcean general circulation models (OGCMs) contain numerous parameterizations of subgrid scale processes. The parameter tuning procedure is rarely reported and often done by hand.
Marta Agnieszka Mrozowska +6 more
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Performance evaluation of GPU-based parallel sorting algorithms. [PDF]
PLoS ONESorting can be approached in two main ways: sequentially and in parallel. In sequential sorting, data is processed in a single-threaded manner, which can be slow for large datasets.
Mohammed Alaa Ala'anzy +3 more
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Accelerating AutoDock VINA with GPUs [PDF]
Molecules, 2022 AutoDock Vina is one of the most popular molecular docking tools. In the latest benchmark CASF-2016 for comparative assessment of scoring functions, AutoDock Vina won the best docking power among all the docking tools. Modern drug discovery is facing the most common scenario on large virtual screening of drug hits from huge compound databases.
Shidi Tang +8 more
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Accelerating JPEG Decompression on GPUs [PDF]
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021 10 pages, to be published in HiPC 2021 conference ...
André Weißenberger, Bertil Schmidt
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GPU-HADVPPM V1.0: a high-efficiency parallel GPU design of the piecewise parabolic method (PPM) for horizontal advection in an air quality model (CAMx V6.10) [PDF]
Geoscientific Model Development, 2023 With semiconductor technology gradually approaching its physical and thermal limits, graphics processing units (GPUs) are becoming an attractive solution for many scientific applications due to their high performance.
K. Cao +7 more
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