Results 11 to 20 of about 16,671 (310)
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 a common scenario of large virtual screening of drug hits from huge compound databases.
Shidi Tang +8 more
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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
doaj +2 more sources
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, Fengyan Shi, James T Kirby
exaly +2 more sources
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
doaj +2 more sources
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 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
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Orthorectification reflects a large amount of real and objective information, such as the characteristics of images and the geometric accuracy of maps. Conducting a large batch of orthorectification is a process with high time cost owing to the pixelwise
Ruyan Zhou +9 more
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GPU-Acceleration of Sequence Homology Searches with Database Subsequence Clustering. [PDF]
PLoS One, 2016 Sequence homology searches are used in various fields and require large amounts of computation time, especially for metagenomic analysis, owing to the large number of queries and the database size.
Suzuki S, Kakuta M, Ishida T, Akiyama Y.
europepmc +2 more sources