xref: /libCEED/examples/nek/bps/bps.h (revision 0219ea01e2c00bd70a330a05b50ef0218d6ddcb0)
1 // Copyright (c) 2017-2018, Lawrence Livermore National Security, LLC.
2 // Produced at the Lawrence Livermore National Laboratory. LLNL-CODE-734707.
3 // All Rights reserved. See files LICENSE and NOTICE for details.
4 //
5 // This file is part of CEED, a collection of benchmarks, miniapps, software
6 // libraries and APIs for efficient high-order finite element and spectral
7 // element discretizations for exascale applications. For more information and
8 // source code availability see http://github.com/ceed.
9 //
10 // The CEED research is supported by the Exascale Computing Project 17-SC-20-SC,
11 // a collaborative effort of two U.S. Department of Energy organizations (Office
12 // of Science and the National Nuclear Security Administration) responsible for
13 // the planning and preparation of a capable exascale ecosystem, including
14 // software, applications, hardware, advanced system engineering and early
15 // testbed platforms, in support of the nation's exascale computing imperative.
16 
17 #ifndef __CUDACC__
18 #  include <math.h>
19 #endif
20 
21 // *****************************************************************************
22 //   BP 1
23 // *****************************************************************************
24 CEED_QFUNCTION(masssetupf)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
25   CeedScalar *qdata = out[0], *rhs = out[1];
26   const CeedScalar *x = in[0];
27   const CeedScalar *J = in[1];
28   const CeedScalar *w = in[2];
29 
30   // Quadrature Point Loop
31   for (CeedInt i=0; i<Q; i++) {
32     CeedScalar det = (J[i+Q*0]*(J[i+Q*4]*J[i+Q*8] - J[i+Q*5]*J[i+Q*7]) -
33                       J[i+Q*1]*(J[i+Q*3]*J[i+Q*8] - J[i+Q*5]*J[i+Q*6]) +
34                       J[i+Q*2]*(J[i+Q*3]*J[i+Q*7] - J[i+Q*4]*J[i+Q*6]));
35     qdata[i] = det * w[i];
36     rhs[i] = qdata[i] * w[i] *
37                sqrt(x[i]*x[i] + x[i+Q]*x[i+Q] + x[i+2*Q]*x[i+2*Q]);
38   } // End of Quadrature Point Loop
39   return 0;
40 }
41 
42 CEED_QFUNCTION int massf(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
43   const CeedScalar *u = in[0];
44   const CeedScalar *qdata = in[1];
45   CeedScalar *v = out[0];
46 
47   // Quadrature Point Loop
48   for (CeedInt i=0; i<Q; i++)
49     v[i] = qdata[i] * u[i];
50 
51   return 0;
52 }
53 // *****************************************************************************
54 //   BP 3
55 // *****************************************************************************
56 CEED_QFUNCTION(diffsetupf)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
57   #ifndef M_PI
58   #define M_PI    3.14159265358979323846
59   #endif
60   const CeedScalar *x = in[0];
61   const CeedScalar *J = in[1];
62   const CeedScalar *w = in[2];
63   CeedScalar *qdata = out[0], *rhs = out[1];
64 
65   // Quadrature Point Loop
66   for (CeedInt i=0; i<Q; i++) {
67     // Stored in Voigt convention
68     // 0 5 4
69     // 5 1 3
70     // 4 3 2
71     const CeedScalar J11 = J[i+Q*0];
72     const CeedScalar J21 = J[i+Q*1];
73     const CeedScalar J31 = J[i+Q*2];
74     const CeedScalar J12 = J[i+Q*3];
75     const CeedScalar J22 = J[i+Q*4];
76     const CeedScalar J32 = J[i+Q*5];
77     const CeedScalar J13 = J[i+Q*6];
78     const CeedScalar J23 = J[i+Q*7];
79     const CeedScalar J33 = J[i+Q*8];
80     const CeedScalar A11 = J22*J33 - J23*J32;
81     const CeedScalar A12 = J13*J32 - J12*J33;
82     const CeedScalar A13 = J12*J23 - J13*J22;
83     const CeedScalar A21 = J23*J31 - J21*J33;
84     const CeedScalar A22 = J11*J33 - J13*J31;
85     const CeedScalar A23 = J13*J21 - J11*J23;
86     const CeedScalar A31 = J21*J32 - J22*J31;
87     const CeedScalar A32 = J12*J31 - J11*J32;
88     const CeedScalar A33 = J11*J22 - J12*J21;
89     const CeedScalar qw = w[i] / (J11*A11 + J21*A12 + J31*A13);
90     qdata[i+Q*0] = qw * (A11*A11 + A12*A12 + A13*A13);
91     qdata[i+Q*1] = qw * (A21*A21 + A22*A22 + A23*A23);
92     qdata[i+Q*2] = qw * (A31*A31 + A32*A32 + A33*A33);
93     qdata[i+Q*3] = qw * (A21*A31 + A22*A32 + A23*A33);
94     qdata[i+Q*4] = qw * (A11*A31 + A12*A32 + A13*A33);
95     qdata[i+Q*5] = qw * (A11*A21 + A12*A22 + A13*A23);
96     const CeedScalar c[3] = { 0, 1., 2. };
97     const CeedScalar k[3] = { 1., 2., 3. };
98     const CeedScalar rho = w[i] * (J11*A11 + J21*A12 + J31*A13);
99     rhs[i] = rho * M_PI*M_PI * (k[0]*k[0] + k[1]*k[1] + k[2]*k[2]) *
100                sin(M_PI*(c[0] + k[0]*x[i+Q*0])) *
101                sin(M_PI*(c[1] + k[1]*x[i+Q*1])) *
102                sin(M_PI*(c[2] + k[2]*x[i+Q*2]));
103   } // End of Quadrature Point Loop
104   return 0;
105 }
106 
107 CEED_QFUNCTION int diffusionf(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) {
108   const CeedScalar *ug = in[0];
109   const CeedScalar *qdata = in[1];
110   CeedScalar *vg = out[0];
111 
112   // Quadrature Point Loop
113   for (CeedInt i=0; i<Q; i++) {
114     const CeedScalar ug0 = ug[i+Q*0];
115     const CeedScalar ug1 = ug[i+Q*1];
116     const CeedScalar ug2 = ug[i+Q*2];
117     vg[i+Q*0] = qdata[i+Q*0]*ug0 + qdata[i+Q*5]*ug1 + qdata[i+Q*4]*ug2;
118     vg[i+Q*1] = qdata[i+Q*5]*ug0 + qdata[i+Q*1]*ug1 + qdata[i+Q*3]*ug2;
119     vg[i+Q*2] = qdata[i+Q*4]*ug0 + qdata[i+Q*3]*ug1 + qdata[i+Q*2]*ug2;
120   } // End of Quadrature Point Loop
121   return 0;
122 }
123