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1
opencl_fdfd/__init__.py
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1
opencl_fdfd/__init__.py
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from .main import cg_solver
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87
opencl_fdfd/kernels/e2h.cl
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opencl_fdfd/kernels/e2h.cl
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/*
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*
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* H update equations
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*
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*/
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//Define sx, x, dix (and y, z versions of those)
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{{dixyz_source}}
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//Define vectorized fields and pointers (eg. Hx = H + XX)
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{{vec_source}}
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// Wrap indices if necessary
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int ipx, ipy, ipz;
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if ( x == sx - 1 ) {
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ipx = i - (sx - 1) * dix;
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} else {
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ipx = i + dix;
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}
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if ( y == sy - 1 ) {
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ipy = i - (sy - 1) * diy;
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} else {
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ipy = i + diy;
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}
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if ( z == sz - 1 ) {
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ipz = i - (sz - 1) * diz;
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} else {
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ipz = i + diz;
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}
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//Update H components; set them to 0 if PMC is enabled there.
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// Also divide by mu only if requested.
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{% if pmc -%}
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if (pmc[XX + i]) {
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Hx[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dzy = cdouble_mul(cdouble_sub(Ez[ipy], Ez[i]), inv_dey[y]);
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cdouble_t Dyz = cdouble_mul(cdouble_sub(Ey[ipz], Ey[i]), inv_dez[z]);
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{%- if mu -%}
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Hx[i] = cdouble_mul(inv_mu[XX + i], cdouble_sub(Dzy, Dyz));
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{%- else -%}
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Hx[i] = cdouble_sub(Dzy, Dyz);
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{%- endif %}
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}
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{% if pmc -%}
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if (pmc[YY + i]) {
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Hy[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dxz = cdouble_mul(cdouble_sub(Ex[ipz], Ex[i]), inv_dez[z]);
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cdouble_t Dzx = cdouble_mul(cdouble_sub(Ez[ipx], Ez[i]), inv_dex[x]);
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{%- if mu -%}
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Hy[i] = cdouble_mul(inv_mu[YY + i], cdouble_sub(Dxz, Dzx));
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{%- else -%}
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Hy[i] = cdouble_sub(Dxz, Dzx);
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{%- endif %}
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}
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{% if pmc -%}
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if (pmc[XX + i]) {
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Hx[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dyx = cdouble_mul(cdouble_sub(Ey[ipx], Ey[i]), inv_dex[x]);
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cdouble_t Dxy = cdouble_mul(cdouble_sub(Ex[ipy], Ex[i]), inv_dey[y]);
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{%- if mu -%}
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Hz[i] = cdouble_mul(inv_mu[ZZ + i], cdouble_sub(Dyx, Dxy));
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{%- else -%}
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Hz[i] = cdouble_sub(Dyx, Dxy);
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{%- endif %}
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}
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/*
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* End H update equations
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*/
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77
opencl_fdfd/kernels/h2e.cl
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77
opencl_fdfd/kernels/h2e.cl
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/*
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*
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* E update equations
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*
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*/
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//Define sx, x, dix (and y, z versions of those)
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{{dixyz_source}}
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//Define vectorized fields and pointers (eg. Hx = H + XX)
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{{vec_source}}
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// Wrap indices if necessary
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int imx, imy, imz;
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if ( x == 0 ) {
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imx = i + (sx - 1) * dix;
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} else {
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imx = i - dix;
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}
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if ( y == 0 ) {
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imy = i + (sy - 1) * diy;
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} else {
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imy = i - diy;
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}
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if ( z == 0 ) {
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imz = i + (sz - 1) * diz;
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} else {
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imz = i - diz;
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}
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//Update E components; set them to 0 if PEC is enabled there.
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{% if pec -%}
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if (pec[XX + i]) {
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Ex[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEx = cdouble_mul(Ex[i], oeps[XX + i]);
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cdouble_t Dzy = cdouble_mul(cdouble_sub(Hz[i], Hz[imy]), inv_dhy[y]);
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cdouble_t Dyz = cdouble_mul(cdouble_sub(Hy[i], Hy[imz]), inv_dhz[z]);
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tEx = cdouble_add(tEx, cdouble_sub(Dzy, Dyz));
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Ex[i] = cdouble_mul(tEx, Pl[XX + i]);
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}
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{% if pec -%}
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if (pec[YY + i]) {
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Ey[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEy = cdouble_mul(Ey[i], oeps[YY + i]);
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cdouble_t Dxz = cdouble_mul(cdouble_sub(Hx[i], Hx[imz]), inv_dhz[z]);
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cdouble_t Dzx = cdouble_mul(cdouble_sub(Hz[i], Hz[imx]), inv_dhx[x]);
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tEy = cdouble_add(tEy, cdouble_sub(Dxz, Dzx));
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Ey[i] = cdouble_mul(tEy, Pl[YY + i]);
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}
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{% if pec -%}
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if (pec[ZZ + i]) {
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Ez[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEz = cdouble_mul(Ez[i], oeps[ZZ + i]);
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cdouble_t Dyx = cdouble_mul(cdouble_sub(Hy[i], Hy[imx]), inv_dhx[x]);
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cdouble_t Dxy = cdouble_mul(cdouble_sub(Hx[i], Hx[imy]), inv_dhy[y]);
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tEz = cdouble_add(tEz, cdouble_sub(Dyx, Dxy));
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Ez[i] = cdouble_mul(tEz, Pl[ZZ + i]);
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}
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/*
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* End H update equations
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*/
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@ -1,364 +1,13 @@
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import numpy
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from numpy.linalg import norm
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import jinja2
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import pyopencl
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import pyopencl.array
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from pyopencl.elementwise import ElementwiseKernel
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from pyopencl.reduction import ReductionKernel
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import time
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import fdfd_tools.operators
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def type_to_C(float_type: numpy.float32 or numpy.float64) -> str:
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"""
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Returns a string corresponding to the C equivalent of a numpy type.
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:param float_type: numpy type: float32, float64, complex64, complex128
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:return: string containing the corresponding C type (eg. 'double')
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"""
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types = {
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numpy.float32: 'float',
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numpy.float64: 'double',
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numpy.complex64: 'cfloat_t',
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numpy.complex128: 'cdouble_t',
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}
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if float_type not in types:
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raise Exception('Unsupported type')
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return types[float_type]
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def shape_source(shape) -> str:
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"""
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Defines sx, sy, sz C constants specifying the shape of the grid in each of the 3 dimensions.
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:param shape: [sx, sy, sz] values.
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:return: String containing C source.
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"""
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sxyz = """
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// Field sizes
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const int sx = {shape[0]};
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const int sy = {shape[1]};
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const int sz = {shape[2]};
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""".format(shape=shape)
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return sxyz
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# Defines dix, diy, diz constants used for stepping in the x, y, z directions in a linear array
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# (ie, given Ex[i] referring to position (x, y, z), Ex[i+diy] will refer to position (x, y+1, z))
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dixyz_source = """
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// Convert offset in field xyz to linear index offset
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const int dix = 1;
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const int diy = sx;
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const int diz = sx * sy;
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"""
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# Given a linear index i and shape sx, sy, sz, defines x, y, and z
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# as the 3D indices of the current element (i).
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xyz_source = """
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// Convert linear index to field index (xyz)
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const int z = i / (sx * sy);
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const int y = (i - z * sx * sy) / sx;
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const int x = (i - y * sx - z * sx * sy);
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"""
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vec_source = """
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if (i >= sx * sy * sz) {
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PYOPENCL_ELWISE_CONTINUE;
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}
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//Pointers into the components of a vectorized vector-field
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const int XX = 0;
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const int YY = sx * sy * sz;
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const int ZZ = sx * sy * sz * 2;
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"""
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E_ptrs = """
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__global cdouble_t *Ex = E + XX;
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__global cdouble_t *Ey = E + YY;
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__global cdouble_t *Ez = E + ZZ;
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"""
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H_ptrs = """
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__global cdouble_t *Hx = H + XX;
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__global cdouble_t *Hy = H + YY;
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__global cdouble_t *Hz = H + ZZ;
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"""
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# Source code for updating the E field; maxes use of dixyz_source.
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maxwell_E_source = """
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// E update equations
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int imx, imy, imz;
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if ( x == 0 ) {
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imx = i + (sx - 1) * dix;
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} else {
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imx = i - dix;
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}
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if ( y == 0 ) {
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imy = i + (sy - 1) * diy;
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} else {
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imy = i - diy;
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}
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if ( z == 0 ) {
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imz = i + (sz - 1) * diz;
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} else {
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imz = i - diz;
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}
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// E update equations
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{% if pec -%}
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if (pec[XX + i]) {
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Ex[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEx = cdouble_mul(Ex[i], oeps[XX + i]);
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cdouble_t Dzy = cdouble_mul(cdouble_sub(Hz[i], Hz[imy]), inv_dhy[y]);
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cdouble_t Dyz = cdouble_mul(cdouble_sub(Hy[i], Hy[imz]), inv_dhz[z]);
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tEx = cdouble_add(tEx, cdouble_sub(Dzy, Dyz));
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Ex[i] = cdouble_mul(tEx, Pl[XX + i]);
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}
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{% if pec -%}
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if (pec[YY + i]) {
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Ey[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEy = cdouble_mul(Ey[i], oeps[YY + i]);
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cdouble_t Dxz = cdouble_mul(cdouble_sub(Hx[i], Hx[imz]), inv_dhz[z]);
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cdouble_t Dzx = cdouble_mul(cdouble_sub(Hz[i], Hz[imx]), inv_dhx[x]);
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tEy = cdouble_add(tEy, cdouble_sub(Dxz, Dzx));
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Ey[i] = cdouble_mul(tEy, Pl[YY + i]);
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}
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{% if pec -%}
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if (pec[ZZ + i]) {
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Ez[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t tEz = cdouble_mul(Ez[i], oeps[ZZ + i]);
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cdouble_t Dyx = cdouble_mul(cdouble_sub(Hy[i], Hy[imx]), inv_dhx[x]);
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cdouble_t Dxy = cdouble_mul(cdouble_sub(Hx[i], Hx[imy]), inv_dhy[y]);
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tEz = cdouble_add(tEz, cdouble_sub(Dyx, Dxy));
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Ez[i] = cdouble_mul(tEz, Pl[ZZ + i]);
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}
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"""
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# Source code for updating the H field; maxes use of dixyz_source and assumes mu=0
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maxwell_H_source = """
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// H update equations
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int ipx, ipy, ipz;
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if ( x == sx - 1 ) {
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ipx = i - (sx - 1) * dix;
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} else {
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ipx = i + dix;
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}
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if ( y == sy - 1 ) {
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ipy = i - (sy - 1) * diy;
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} else {
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ipy = i + diy;
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}
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if ( z == sz - 1 ) {
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ipz = i - (sz - 1) * diz;
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} else {
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ipz = i + diz;
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}
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{% if pmc -%}
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if (pmc[XX + i]) {
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Hx[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dzy = cdouble_mul(cdouble_sub(Ez[ipy], Ez[i]), inv_dey[y]);
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cdouble_t Dyz = cdouble_mul(cdouble_sub(Ey[ipz], Ey[i]), inv_dez[z]);
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{%- if mu -%}
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Hx[i] = cdouble_mul(inv_mu[XX + i], cdouble_sub(Dzy, Dyz));
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{%- else -%}
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Hx[i] = cdouble_sub(Dzy, Dyz);
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{%- endif %}
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}
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{% if pmc -%}
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if (pmc[YY + i]) {
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Hy[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dxz = cdouble_mul(cdouble_sub(Ex[ipz], Ex[i]), inv_dez[z]);
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cdouble_t Dzx = cdouble_mul(cdouble_sub(Ez[ipx], Ez[i]), inv_dex[x]);
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{%- if mu -%}
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Hy[i] = cdouble_mul(inv_mu[YY + i], cdouble_sub(Dxz, Dzx));
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{%- else -%}
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Hy[i] = cdouble_sub(Dxz, Dzx);
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{%- endif %}
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}
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{% if pmc -%}
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if (pmc[XX + i]) {
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Hx[i] = cdouble_new(0.0, 0.0);
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} else
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{%- endif -%}
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{
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cdouble_t Dyx = cdouble_mul(cdouble_sub(Ey[ipx], Ey[i]), inv_dex[x]);
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cdouble_t Dxy = cdouble_mul(cdouble_sub(Ex[ipy], Ex[i]), inv_dey[y]);
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{%- if mu -%}
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Hz[i] = cdouble_mul(inv_mu[ZZ + i], cdouble_sub(Dyx, Dxy));
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{%- else -%}
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Hz[i] = cdouble_sub(Dyx, Dxy);
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{%- endif %}
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}
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"""
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p2e_source = '''
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Ex[i] = cdouble_mul(Pr[XX + i], p[XX + i]);
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Ey[i] = cdouble_mul(Pr[YY + i], p[YY + i]);
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Ez[i] = cdouble_mul(Pr[ZZ + i], p[ZZ + i]);
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'''
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preamble = '''
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#define PYOPENCL_DEFINE_CDOUBLE
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#include <pyopencl-complex.h>
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'''
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ctype = type_to_C(numpy.complex128)
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def ptrs(*args):
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return [ctype + ' *' + s for s in args]
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def create_a(context, shape, mu=False, pec=False, pmc=False):
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dhs = [ctype + ' *inv_dh' + a for a in 'xyz']
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des = [ctype + ' *inv_de' + a for a in 'xyz']
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header = shape_source(shape) + dixyz_source + xyz_source + vec_source + E_ptrs
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P2E_kernel = ElementwiseKernel(context,
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name='P2E',
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preamble=preamble,
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operation=header + p2e_source,
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arguments=', '.join(ptrs('E', 'p', 'Pr')))
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pmc_arg = ['int *pmc']
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e2h_source = header + H_ptrs + jinja2.Template(maxwell_H_source).render(mu=mu, pmc=pmc)
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E2H_kernel = ElementwiseKernel(context,
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name='E2H',
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preamble=preamble,
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operation=e2h_source,
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arguments=', '.join(ptrs('E', 'H', 'inv_mu') + pmc_arg + des))
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pec_arg = ['int *pec']
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h2e_source = header + H_ptrs + jinja2.Template(maxwell_E_source).render(pec=pec)
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H2E_kernel = ElementwiseKernel(context,
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name='H2E',
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preamble=preamble,
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operation=h2e_source,
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arguments=', '.join(ptrs('E', 'H', 'oeps', 'Pl') + pec_arg + dhs))
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def spmv(E, H, p, idxes, oeps, inv_mu, pec, pmc, Pl, Pr, e):
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e2 = P2E_kernel(E, p, Pr, wait_for=e)
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e2 = E2H_kernel(E, H, inv_mu, pmc, *idxes[0], wait_for=[e2])
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e2 = H2E_kernel(E, H, oeps, Pl, pec, *idxes[1], wait_for=[e2])
|
||||
return [e2]
|
||||
|
||||
return spmv
|
||||
|
||||
|
||||
def create_xr_step(context):
|
||||
update_xr_source = '''
|
||||
x[i] = cdouble_add(x[i], cdouble_mul(alpha, p[i]));
|
||||
r[i] = cdouble_sub(r[i], cdouble_mul(alpha, v[i]));
|
||||
'''
|
||||
|
||||
xr_args = ', '.join(ptrs('x', 'p', 'r', 'v') + [ctype + ' alpha'])
|
||||
|
||||
xr_kernel = ElementwiseKernel(context,
|
||||
name='XR',
|
||||
preamble=preamble,
|
||||
operation=update_xr_source,
|
||||
arguments=xr_args)
|
||||
|
||||
def xr_update(x, p, r, v, alpha, e):
|
||||
return [xr_kernel(x, p, r, v, alpha, wait_for=e)]
|
||||
|
||||
return xr_update
|
||||
|
||||
|
||||
def create_rhoerr_step(context):
|
||||
update_ri_source = '''
|
||||
(double3)(r[i].real * r[i].real, \
|
||||
r[i].real * r[i].imag, \
|
||||
r[i].imag * r[i].imag)
|
||||
'''
|
||||
|
||||
ri_dtype = pyopencl.array.vec.double3
|
||||
|
||||
ri_kernel = ReductionKernel(context,
|
||||
name='RHOERR',
|
||||
preamble=preamble,
|
||||
dtype_out=ri_dtype,
|
||||
neutral='(double3)(0.0, 0.0, 0.0)',
|
||||
map_expr=update_ri_source,
|
||||
reduce_expr='a+b',
|
||||
arguments=ctype + ' *r')
|
||||
|
||||
def ri_update(r, e):
|
||||
g = ri_kernel(r, wait_for=e).astype(ri_dtype).get()
|
||||
rr, ri, ii = [g[q] for q in 'xyz']
|
||||
rho = rr + 2j * ri - ii
|
||||
err = rr + ii
|
||||
return rho, err
|
||||
|
||||
return ri_update
|
||||
|
||||
|
||||
def create_p_step(context):
|
||||
update_p_source = '''
|
||||
p[i] = cdouble_add(r[i], cdouble_mul(beta, p[i]));
|
||||
'''
|
||||
p_args = ptrs('p', 'r') + [ctype + ' beta']
|
||||
|
||||
p_kernel = ElementwiseKernel(context,
|
||||
name='P',
|
||||
preamble=preamble,
|
||||
operation=update_p_source,
|
||||
arguments=', '.join(p_args))
|
||||
|
||||
def p_update(p, r, beta, e):
|
||||
return [p_kernel(p, r, beta, wait_for=e)]
|
||||
|
||||
return p_update
|
||||
|
||||
|
||||
def create_dot(context):
|
||||
dot_dtype = numpy.complex128
|
||||
|
||||
dot_kernel = ReductionKernel(context,
|
||||
name='dot',
|
||||
preamble=preamble,
|
||||
dtype_out=dot_dtype,
|
||||
neutral='cdouble_new(0.0, 0.0)',
|
||||
map_expr='cdouble_mul(p[i], v[i])',
|
||||
reduce_expr='cdouble_add(a, b)',
|
||||
arguments=ptrs('p', 'v'))
|
||||
|
||||
def ri_update(p, v, e):
|
||||
g = dot_kernel(p, v, wait_for=e)
|
||||
return g.get()
|
||||
|
||||
return ri_update
|
||||
from . import ops
|
||||
|
||||
|
||||
def cg_solver(omega, dxes, J, epsilon, mu=None, pec=None, pmc=None, adjoint=False,
|
||||
@ -444,25 +93,25 @@ def cg_solver(omega, dxes, J, epsilon, mu=None, pec=None, pmc=None, adjoint=Fals
|
||||
invm = load_field(1 / mu)
|
||||
|
||||
if pec is None:
|
||||
gpec = load_field(numpy.array([]), dtype=int)
|
||||
gpec = load_field(numpy.array([]), dtype=numpy.int8)
|
||||
else:
|
||||
gpec = load_field(pec, dtype=int)
|
||||
gpec = load_field(pec, dtype=numpy.int8)
|
||||
|
||||
if pmc is None:
|
||||
gpmc = load_field(numpy.array([]), dtype=int)
|
||||
gpmc = load_field(numpy.array([]), dtype=numpy.int8)
|
||||
else:
|
||||
gpmc = load_field(pmc, dtype=int)
|
||||
gpmc = load_field(pmc, dtype=numpy.int8)
|
||||
|
||||
'''
|
||||
Generate OpenCL kernels
|
||||
'''
|
||||
has_mu, has_pec, has_pmc = [q is not None for q in (mu, pec, pmc)]
|
||||
|
||||
a_step_full = create_a(context, shape, has_mu, has_pec, has_pmc)
|
||||
xr_step = create_xr_step(context)
|
||||
rhoerr_step = create_rhoerr_step(context)
|
||||
p_step = create_p_step(context)
|
||||
dot = create_dot(context)
|
||||
a_step_full = ops.create_a(context, shape, has_mu, has_pec, has_pmc)
|
||||
xr_step = ops.create_xr_step(context)
|
||||
rhoerr_step = ops.create_rhoerr_step(context)
|
||||
p_step = ops.create_p_step(context)
|
||||
dot = ops.create_dot(context)
|
||||
|
||||
def a_step(E, H, p, events):
|
||||
return a_step_full(E, H, p, inv_dxes, oeps, invm, gpec, gpmc, Pl, Pr, events)
|
||||
|
||||
225
opencl_fdfd/ops.py
Normal file
225
opencl_fdfd/ops.py
Normal file
@ -0,0 +1,225 @@
|
||||
import numpy
|
||||
import jinja2
|
||||
|
||||
import pyopencl
|
||||
import pyopencl.array
|
||||
from pyopencl.elementwise import ElementwiseKernel
|
||||
from pyopencl.reduction import ReductionKernel
|
||||
|
||||
# Create jinja2 env on module load
|
||||
jinja_env = jinja2.Environment(loader=jinja2.PackageLoader(__name__, 'kernels'))
|
||||
|
||||
|
||||
def type_to_C(float_type: numpy.float32 or numpy.float64) -> str:
|
||||
"""
|
||||
Returns a string corresponding to the C equivalent of a numpy type.
|
||||
|
||||
:param float_type: numpy type: float32, float64, complex64, complex128
|
||||
:return: string containing the corresponding C type (eg. 'double')
|
||||
"""
|
||||
types = {
|
||||
numpy.float32: 'float',
|
||||
numpy.float64: 'double',
|
||||
numpy.complex64: 'cfloat_t',
|
||||
numpy.complex128: 'cdouble_t',
|
||||
}
|
||||
if float_type not in types:
|
||||
raise Exception('Unsupported type')
|
||||
|
||||
return types[float_type]
|
||||
|
||||
|
||||
def shape_source(shape) -> str:
|
||||
"""
|
||||
Defines sx, sy, sz C constants specifying the shape of the grid in each of the 3 dimensions.
|
||||
|
||||
:param shape: [sx, sy, sz] values.
|
||||
:return: String containing C source.
|
||||
"""
|
||||
sxyz = """
|
||||
// Field sizes
|
||||
const int sx = {shape[0]};
|
||||
const int sy = {shape[1]};
|
||||
const int sz = {shape[2]};
|
||||
""".format(shape=shape)
|
||||
return sxyz
|
||||
|
||||
# Defines dix, diy, diz constants used for stepping in the x, y, z directions in a linear array
|
||||
# (ie, given Ex[i] referring to position (x, y, z), Ex[i+diy] will refer to position (x, y+1, z))
|
||||
dixyz_source = """
|
||||
// Convert offset in field xyz to linear index offset
|
||||
const int dix = 1;
|
||||
const int diy = sx;
|
||||
const int diz = sx * sy;
|
||||
"""
|
||||
|
||||
# Given a linear index i and shape sx, sy, sz, defines x, y, and z
|
||||
# as the 3D indices of the current element (i).
|
||||
xyz_source = """
|
||||
// Convert linear index to field index (xyz)
|
||||
const int z = i / (sx * sy);
|
||||
const int y = (i - z * sx * sy) / sx;
|
||||
const int x = (i - y * sx - z * sx * sy);
|
||||
"""
|
||||
|
||||
vec_source = """
|
||||
if (i >= sx * sy * sz) {
|
||||
PYOPENCL_ELWISE_CONTINUE;
|
||||
}
|
||||
|
||||
//Pointers into the components of a vectorized vector-field
|
||||
const int XX = 0;
|
||||
const int YY = sx * sy * sz;
|
||||
const int ZZ = sx * sy * sz * 2;
|
||||
"""
|
||||
|
||||
E_ptrs = """
|
||||
__global cdouble_t *Ex = E + XX;
|
||||
__global cdouble_t *Ey = E + YY;
|
||||
__global cdouble_t *Ez = E + ZZ;
|
||||
"""
|
||||
|
||||
H_ptrs = """
|
||||
__global cdouble_t *Hx = H + XX;
|
||||
__global cdouble_t *Hy = H + YY;
|
||||
__global cdouble_t *Hz = H + ZZ;
|
||||
"""
|
||||
|
||||
preamble = '''
|
||||
#define PYOPENCL_DEFINE_CDOUBLE
|
||||
#include <pyopencl-complex.h>
|
||||
'''
|
||||
|
||||
ctype = type_to_C(numpy.complex128)
|
||||
|
||||
|
||||
def ptrs(*args):
|
||||
return [ctype + ' *' + s for s in args]
|
||||
|
||||
|
||||
def create_a(context, shape, mu=False, pec=False, pmc=False):
|
||||
header = shape_source(shape) + dixyz_source + xyz_source
|
||||
vec_h = vec_source + E_ptrs + H_ptrs
|
||||
|
||||
p2e_source = 'E[i] = cdouble_mul(Pr[i], p[i]);'
|
||||
P2E_kernel = ElementwiseKernel(context,
|
||||
name='P2E',
|
||||
preamble=preamble,
|
||||
operation=p2e_source,
|
||||
arguments=', '.join(ptrs('E', 'p', 'Pr')))
|
||||
|
||||
pmc_arg = ['char *pmc']
|
||||
des = [ctype + ' *inv_de' + a for a in 'xyz']
|
||||
e2h_source = jinja_env.get_template('e2h.cl').render(mu=mu,
|
||||
pmc=pmc,
|
||||
dixyz_source=header,
|
||||
vec_source=vec_h)
|
||||
E2H_kernel = ElementwiseKernel(context,
|
||||
name='E2H',
|
||||
preamble=preamble,
|
||||
operation=e2h_source,
|
||||
arguments=', '.join(ptrs('E', 'H', 'inv_mu') + pmc_arg + des))
|
||||
|
||||
pec_arg = ['char *pec']
|
||||
dhs = [ctype + ' *inv_dh' + a for a in 'xyz']
|
||||
h2e_source = jinja_env.get_template('h2e.cl').render(pmc=pec,
|
||||
dixyz_source=header,
|
||||
vec_source=vec_h)
|
||||
H2E_kernel = ElementwiseKernel(context,
|
||||
name='H2E',
|
||||
preamble=preamble,
|
||||
operation=h2e_source,
|
||||
arguments=', '.join(ptrs('E', 'H', 'oeps', 'Pl') + pec_arg + dhs))
|
||||
|
||||
def spmv(E, H, p, idxes, oeps, inv_mu, pec, pmc, Pl, Pr, e):
|
||||
e2 = P2E_kernel(E, p, Pr, wait_for=e)
|
||||
e2 = E2H_kernel(E, H, inv_mu, pmc, *idxes[0], wait_for=[e2])
|
||||
e2 = H2E_kernel(E, H, oeps, Pl, pec, *idxes[1], wait_for=[e2])
|
||||
return [e2]
|
||||
|
||||
return spmv
|
||||
|
||||
|
||||
def create_xr_step(context):
|
||||
update_xr_source = '''
|
||||
x[i] = cdouble_add(x[i], cdouble_mul(alpha, p[i]));
|
||||
r[i] = cdouble_sub(r[i], cdouble_mul(alpha, v[i]));
|
||||
'''
|
||||
|
||||
xr_args = ', '.join(ptrs('x', 'p', 'r', 'v') + [ctype + ' alpha'])
|
||||
|
||||
xr_kernel = ElementwiseKernel(context,
|
||||
name='XR',
|
||||
preamble=preamble,
|
||||
operation=update_xr_source,
|
||||
arguments=xr_args)
|
||||
|
||||
def xr_update(x, p, r, v, alpha, e):
|
||||
return [xr_kernel(x, p, r, v, alpha, wait_for=e)]
|
||||
|
||||
return xr_update
|
||||
|
||||
|
||||
def create_rhoerr_step(context):
|
||||
update_ri_source = '''
|
||||
(double3)(r[i].real * r[i].real, \
|
||||
r[i].real * r[i].imag, \
|
||||
r[i].imag * r[i].imag)
|
||||
'''
|
||||
|
||||
ri_dtype = pyopencl.array.vec.double3
|
||||
|
||||
ri_kernel = ReductionKernel(context,
|
||||
name='RHOERR',
|
||||
preamble=preamble,
|
||||
dtype_out=ri_dtype,
|
||||
neutral='(double3)(0.0, 0.0, 0.0)',
|
||||
map_expr=update_ri_source,
|
||||
reduce_expr='a+b',
|
||||
arguments=ctype + ' *r')
|
||||
|
||||
def ri_update(r, e):
|
||||
g = ri_kernel(r, wait_for=e).astype(ri_dtype).get()
|
||||
rr, ri, ii = [g[q] for q in 'xyz']
|
||||
rho = rr + 2j * ri - ii
|
||||
err = rr + ii
|
||||
return rho, err
|
||||
|
||||
return ri_update
|
||||
|
||||
|
||||
def create_p_step(context):
|
||||
update_p_source = '''
|
||||
p[i] = cdouble_add(r[i], cdouble_mul(beta, p[i]));
|
||||
'''
|
||||
p_args = ptrs('p', 'r') + [ctype + ' beta']
|
||||
|
||||
p_kernel = ElementwiseKernel(context,
|
||||
name='P',
|
||||
preamble=preamble,
|
||||
operation=update_p_source,
|
||||
arguments=', '.join(p_args))
|
||||
|
||||
def p_update(p, r, beta, e):
|
||||
return [p_kernel(p, r, beta, wait_for=e)]
|
||||
|
||||
return p_update
|
||||
|
||||
|
||||
def create_dot(context):
|
||||
dot_dtype = numpy.complex128
|
||||
|
||||
dot_kernel = ReductionKernel(context,
|
||||
name='dot',
|
||||
preamble=preamble,
|
||||
dtype_out=dot_dtype,
|
||||
neutral='cdouble_new(0.0, 0.0)',
|
||||
map_expr='cdouble_mul(p[i], v[i])',
|
||||
reduce_expr='cdouble_add(a, b)',
|
||||
arguments=ptrs('p', 'v'))
|
||||
|
||||
def ri_update(p, v, e):
|
||||
g = dot_kernel(p, v, wait_for=e)
|
||||
return g.get()
|
||||
|
||||
return ri_update
|
||||
Loading…
Reference in New Issue
Block a user