AutoDock-GPU
importedtherapeutics/autodock-gpu
AutoDock for GPUs and other accelerators
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- ccsb-scripps
- Country
- unknown
- Homepage
- autodock.scripps.edu
- Repository
- github.com/ccsb-scripps/AutoDock-GPU
- Documentation
- unknown
- Tags
- autodock4 · cuda · gpu-computing · molecular-docking · multicore-cpu · opencl
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- reproduce-parcosi-moleculardockingcuda · molecular-docking · opencl
Reproducing paper: "Benchmarking the Performance of Irregular Computations in AutoDock-GPU Molecular Docking"
- FASTgpu-computing · opencl
A framework for high-performance medical image processing, neural network inference and visualization
- GPU_SVL_latticecuda · gpu-computing
Spatially Variant Lattice using GPU
- pyvsnrgpu-computing
A Python library for computing the VSNR in 2D images. It provides both CPU and GPU implementations.
- CATEcuda
A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and…
- cucimcuda
cuCIM - RAPIDS GPU-accelerated image processing library
- api.github.com/repos/ccsb-scripps/AutoDock-GPUretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-17, 606 stars, license reported as GPL-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/34.json→ .entries["autodock-gpu"]
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