GALUMPH
Calculate ALM (scattering amplitude decomposed into spherical harmonics) at Hyperspeed using GPU acceleration.
This is a preliminary implementation using PyOpenCL.
Example code:
import numpy as np
import Bio.PDB
import periodictable
import pyopencl
import galumph
ctx = pyopencl.create_some_context()
NS = 4096 # Number of S values at which to calculate the scattering
smax = 1.0 # Maximum S value
LMAX = 63 # Maximum harmonic order to use for the calculations
## Initialise the S array and allocate the ALM storage on the GPU
s = np.linspace(0, smax, NS)
kernel = galumph.AtomicScattering(LMAX, s, ctx=ctx)
## Use Bio.PDB to read the structure and periodictable to calculate the atomic form factors
pdb = Bio.PDB.PDBParser().get_structure("6lyz", "6lyz.pdb")
xyz = np.array([aa.get_vector().get_array() for aa in pdb.get_atoms()])
ff = np.array([periodictable.elements.symbol(aa.element).xray.f0(s) for aa in pdb.get_atoms()])
## Run the GPU calculation
alm = kernel.zeros()
kernel.add_many_atoms(alm, xyz, ff)
Icalc = kernel.sum_intensity(alm)
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Release files for galumph 0.3.0
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| galumph-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 71.2 kB
Release files / galumph-0.3.0.tar.gz
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