作业
发表于 2025-3-21 19:55:38
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Enteropathic
发表于 2025-3-21 20:22:57
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LANCE
发表于 2025-3-22 02:39:08
GPU-Accelerated High-Accuracy Molecular Docking Using Guided Differential Evolution average speedup of 3.9× on a four-core CPU and 27.4× on a comparable CUDA-enabled GPU when docking 133 ligands of different sizes. Furthermore, the presented parallelisation schemes are generally applicable and can easily be adapted to other flexible docking methods.
Instinctive
发表于 2025-3-22 06:14:22
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宴会
发表于 2025-3-22 11:17:51
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Recess
发表于 2025-3-22 13:02:53
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可商量
发表于 2025-3-22 18:06:48
An Analytical Study of Parallel GA with Independent Runs on GPUsison to CPU computations, GPU computation shows a speedup of 7.2× and 13.1× on average using a single GTX 285 GPU and two GTX 285 GPUs, respectively. The parallel independent run model is the simplest of the various parallel evolutionary computation models, and among the models it demonstrates the lower limit performance.
endocardium
发表于 2025-3-22 23:38:07
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有限
发表于 2025-3-23 03:45:28
Large-Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Unitle data (SIMD) mode of parallel computing, even though the GP populations contain different programs. A 448 node nVidia Fermi C2050 Tesla graphics card delivers 8.5 giga GPops per second. In addition to describing our implementation, we survey current GPGPU work in bioinformatics and genetic programming.
民间传说
发表于 2025-3-23 09:21:43
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