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LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } } } if (nk <= 0 && nl <= 0) { <LOOP-START>for (c1 = 0; c1 <= ((nj + -1 < nm + -1?nj + -1 : nm + -1)); c1++) { for (c2 = 0; c2 <= nm + -1; c2++) { C[c1][c2] = ((double )c1) * (c2 + 3) / nl; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
C[c1][c2] = ((double )c1) * (c2 + 3) / nl; } } } if (nk <= 0 && nm >= 1) { <LOOP-START>for (c1 = nm; c1 <= nj + -1; c1++) { for (c2 = 0; c2 <= nm + -1; c2++) { C[c1][c2] = ((double )c1) * (c2 + 3) / nl; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
C[c1][c2] = ((double )c1) * (c2 + 3) / nl; } } } if (nj <= 0 && nl >= 1) { <LOOP-START>for (c1 = (0 > ni?0 : ni); c1 <= ((nk + -1 < nm + -1?nk + -1 : nm + -1)); c1++) { for (c2 = 0; c2 <= nl + -1; c2++) { D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } } } if (nk >= 1 && nl >= 1) { <LOOP-START>for (c1 = (((ni > nj?ni : nj)) > nk?((ni > nj?ni : nj)) : nk); c1 <= nm + -1; c1++) { for (c2 = 0; c2 <= nl + -1; c2++) { D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } } } if (nk <= 0 && nl >= 1) { <LOOP-START>for (c1 = (0 > nj?0 : nj); c1 <= nm + -1; c1++) { for (c2 = 0; c2 <= nl + -1; c2++) { D[c1][c2] = ((double )c1) * (c2 + 2) / nk; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
+ 0]) { //int i; //int j; //int k; //#pragma scop { int c1; int c2; int c5; <LOOP-START>for (c1 = 0; c1 <= 127; c1++) { for (c2 = 0; c2 <= 127; c2++) { G[c1][c2] = 0; F[c1][c2] = 0; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c5, c2)
100
{ for (c2 = 0; c2 <= 127; c2++) { G[c1][c2] = 0; F[c1][c2] = 0; } } <LOOP-START>for (c1 = 0; c1 <= 127; c1++) { for (c2 = 0; c2 <= 127; c2++) { for (c5 = 0; c5 <= 127; c5++) { F[c1][c2] += C[c1][c5] * D[c5][c2]; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c5, c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c2)
100
r (c5 = 0; c5 <= 127; c5++) { F[c1][c2] += C[c1][c5] * D[c5][c2]; } } } <LOOP-START>for (c1 = 0; c1 <= 127; c1++) { for (c2 = 0; c2 <= 127; c2++) { E[c1][c2] = 0; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB041-3mm-parallel-no.c
#pragma omp parallel for private(c5, c2)
100
= 0; c1 <= 127; c1++) { for (c2 = 0; c2 <= 127; c2++) { E[c1][c2] = 0; } } <LOOP-START>for (c1 = 0; c1 <= 127; c1++) { for (c2 = 0; c2 <= 127; c2++) { for (c5 = 0; c5 <= 127; c5++) { E[c1][c2] += A[c1][c5] * B[c5][c2]; } for (c5 = 0; c5 <= 127; c5++) { G[c1][c5] += E[c1][c2] * F[c2][c5]; } } }<LOOP-END> <OMP-START>#pragma omp parallel for private(c5, c2)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB003-antidep2-orig-yes.c
#pragma omp parallel for private(j)
100
0; double a[20][20]; for (i=0; i< len; i++) for (j=0; j<len; j++) a[i][j] = 0.5; <LOOP-START>for (i = 0; i < len - 1; i += 1) { for (j = 0; j < len ; j += 1) { a[i][j] += a[i + 1][j]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB005-indirectaccess1-orig-yes.c
#pragma omp parallel for schedule(static,1)
100
[i]=0.5*i; } // default static even scheduling may not trigger data race, using static,1 instead. <LOOP-START>for (i =0; i< N; ++i) { int idx = indexSet[i]; xa1[idx]+= 1.0 + i; xa2[idx]+= 3.0 + i; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static,1)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB060-matrixmultiply-orig-no.c
#pragma omp parallel for private(j,k)
100
#define K 100 double a[N][M],b[M][K],c[N][K]; int mmm() { int i,j,k; <LOOP-START>for (i = 0; i < N; i++) for (k = 0; k < K; k++) for (j = 0; j < M; j++) c[i][j]= c[i][j]+a[i][k]*b[k][j]; return 0; } int main() { mmm(); return 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(j,k)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB007-indirectaccess3-orig-yes.c
#pragma omp parallel for
100
/ initialize segments touched by indexSet for (i =521; i<= 2025; ++i) { base[i]=0.5*i; } <LOOP-START>for (i =0; i< N; ++i) { int idx = indexSet[i]; xa1[idx]+= 1.0; xa2[idx]+= 3.0; }<LOOP-END> <OMP-START>#pragma omp parallel for <OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB011-minusminus-orig-yes.c
#pragma omp parallel for
100
ialize x[] for (i=0; i< len; i++) { if (i%2==0) x[i]=5; else x[i]= -5; } <LOOP-START>for (i=numNodes-1 ; i>-1 ; --i) { if (x[i]<=0) { numNodes2-- ; } }<LOOP-END> <OMP-START>#pragma omp parallel for<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB052-indirectaccesssharebase-orig-no.c
#pragma omp parallel for
100
base; double * xa2 = base + 12; int i; for (i =521; i<= 2025; ++i) { base[i]=0.0; } <LOOP-START>for (i =0; i< N; ++i) // this level of loop has no loop carried dependence { int idx = indexSet[i]; xa1[idx]+= 1.0; xa2[idx]+= 3.0; }<LOOP-END> <OMP-START>#pragma omp parallel for<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB068-restrictpointer2-orig-no.c
#pragma omp parallel for
100
clude <stdio.h> void foo(int n, int * restrict a, int * restrict b, int * restrict c) { int i; <LOOP-START>for (i = 0; i < n; i++) a[i] = b[i] + c[i]; } int main() { int n = 1000; int * a , *b, *c; a = (int*) malloc (n* sizeof (int)); if (a ==0) { fprintf (stderr, "skip the execution due to malloc failures.\n"); return 1; } b = (int*) malloc (n* sizeof (int)); if (b ==0) { fprintf (stderr, "skip the execution due to malloc failures.\n"); return 1; } c = (int*) malloc (n* sizeof (int)); if (c ==0) { fprintf (stderr, "skip the execution due to malloc failures.\n"); return 1; } foo (n, a, b,c); free (a); free (b); free (c); return 0; }<LOOP-END> <OMP-START>#pragma omp parallel for <OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB198-prodcons-no.c
#pragma omp parallel for shared(size, cap, nprod, ncons, nthread) firstprivate(packages) num_threads(nthread)
100
= 4, ncons = 4; int cap = 5, size = 0, packages = 1000; int main() { int nthread = nprod + ncons; <LOOP-START>for (int i = 0; i < nthread; i++) { if (i < nprod) while (packages) { // I am a producer #pragma omp critical if (size < cap) { size++; // produce packages--; // produced a package printf("Producer %d produced! size=%d\n", i, size); fflush(stdout); } } else while (packages) { // I am a consumer #pragma omp critical if (size > 0) { size--; // consume packages--; // consumed a package printf("Consumer %d consumed! size=%d\n", i - nprod, size); fflush(stdout); } } }<LOOP-END> <OMP-START>#pragma omp parallel for shared(size, cap, nprod, ncons, nthread) firstprivate(packages) num_threads(nthread)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB057-jacobiinitialize-orig-no.c
#pragma omp parallel for private(i,j,xx,yy)
100
xx, yy; dx = 2.0 / (n - 1); dy = 2.0 / (m - 1); /* Initialize initial condition and RHS */ <LOOP-START>for (i = 0; i < n; i++) for (j = 0; j < m; j++) { xx = (int) (-1.0 + dx * (i - 1)); /* -1 < x < 1 */ yy = (int) (-1.0 + dy * (j - 1)); /* -1 < y < 1 */ u[i][j] = 0.0; f[i][j] = -1.0 * alpha * (1.0 - xx * xx) * (1.0 - yy * yy) - 2.0 * (1.0 - xx * xx) - 2.0 * (1.0 - yy * yy); }<LOOP-END> <OMP-START>#pragma omp parallel for private(i,j,xx,yy)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB004-antidep2-var-yes.c
#pragma omp parallel for private(j)
100
; double a[len][len]; for (i=0; i< len; i++) for (j=0; j<len; j++) a[i][j] = 0.5; <LOOP-START>for (i = 0; i < len - 1; i += 1) { for (j = 0; j < len ; j += 1) { a[i][j] += a[i + 1][j]; } }<LOOP-END> <OMP-START>#pragma omp parallel for private(j)<OMP-END>
LLNL/dataracebench/micro-benchmarks/DRB169-missingsyncwrite-orig-yes.c
#pragma omp parallel for default(shared) private(j,k)
100
(j = 0; j < N; j++) { for (k = 0; k < N; k++) { r[i][j][k] = i; } } } <LOOP-START>for (i = 1; i < N-1; i++) { for (j = 1; j < N-1; j++) { for (k = 0; k < N; k++) { r1[k] = r[i][j-1][k] + r[i][j+1][k] + r[i-1][j][k] + r[i+1][j][k]; } } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(j,k)<OMP-END>
LLNL/dataracebench/micro-benchmarks/utilities/polybench.c
#pragma omp parallel for reduction(+:tmp)
100
double* flush = (double*) calloc (cs, sizeof(double)); int i; double tmp = 0.0; #ifdef _OPENMP <LOOP-START>for (i = 0; i < cs; i++) tmp += flush[i]; assert (tmp <= 10.0); free (flush); } #ifdef POLYBENCH_LINUX_FIFO_SCHEDULER void polybench_linux_fifo_scheduler() { /* Use FIFO scheduler to limit OS interference. Program must be run as root, and this works only for Linux kernels. */ struct sched_param schedParam; schedParam.sched_priority = sched_get_priority_max (SCHED_FIFO); sched_setscheduler (0, SCHED_FIFO, &schedParam); }<LOOP-END> <OMP-START>#pragma omp parallel for reduction(+:tmp)<OMP-END>
LLNL/sundials/examples/cvodes/C_openmp/cvsAdvDiff_bnd_omp.c
#pragma omp parallel for default(shared) private(j, i, uij, udn, uup, ult, \
100
= data->hdcoef; horac = data->hacoef; verdc = data->vdcoef; /* Loop over all grid points. */ <LOOP-START>urt, hdiff, hadv, vdiff) \ num_threads(data->nthreads) for (j = 1; j <= MY; j++) { for (i = 1; i <= MX; i++) { /* Extract u at x_i, y_j and four neighboring points */ uij = IJth(udata, i, j); udn = (j == 1) ? ZERO : IJth(udata, i, j - 1); uup = (j == MY) ? ZERO : IJth(udata, i, j + 1); ult = (i == 1) ? ZERO : IJth(udata, i - 1, j); urt = (i == MX) ? ZERO : IJth(udata, i + 1, j); /* Set diffusion and advection terms and load into udot */ hdiff = hordc * (ult - TWO * uij + urt); hadv = horac * (urt - ult); vdiff = verdc * (uup - TWO * uij + udn); IJth(dudata, i, j) = hdiff + hadv + vdiff; } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(j, i, uij, udn, uup, ult, \<OMP-END>
LLNL/sundials/examples/cvodes/C_openmp/cvsAdvDiff_bnd_omp.c
#pragma omp parallel for collapse(2) default(shared) private(i, j, k, kthCol) \
100
ta = (UserData)user_data; hordc = data->hdcoef; horac = data->hacoef; verdc = data->vdcoef; <LOOP-START>num_threads(data->nthreads) for (j = 1; j <= MY; j++) { for (i = 1; i <= MX; i++) { k = j - 1 + (i - 1) * MY; kthCol = SUNBandMatrix_Column(J, k); /* set the kth column of J */ SM_COLUMN_ELEMENT_B(kthCol, k, k) = -TWO * (verdc + hordc); if (i != 1) { SM_COLUMN_ELEMENT_B(kthCol, k - MY, k) = hordc + horac; } if (i != MX) { SM_COLUMN_ELEMENT_B(kthCol, k + MY, k) = hordc - horac; } if (j != 1) { SM_COLUMN_ELEMENT_B(kthCol, k - 1, k) = verdc; } if (j != MY) { SM_COLUMN_ELEMENT_B(kthCol, k + 1, k) = verdc; } } }<LOOP-END> <OMP-START>#pragma omp parallel for collapse(2) default(shared) private(i, j, k, kthCol) \<OMP-END>
LLNL/sundials/examples/cvodes/C_openmp/cvsAdvDiff_bnd_omp.c
#pragma omp parallel for default(shared) private(j, i, y, x)
100
o data array in vector u. */ udata = NV_DATA_OMP(u); /* Load initial profile into u vector */ <LOOP-START>for (j = 1; j <= MY; j++) { y = j * dy; for (i = 1; i <= MX; i++) { x = i * dx; IJth(udata, i, j) = x * (XMAX - x) * y * (YMAX - y) * exp(FIVE * x * y); } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(j, i, y, x)<OMP-END>
LLNL/sundials/examples/kinsol/C_openmp/kinFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(i)
100
y[j] = csave; /* Load the j-th column of difference quotients */ Pxycol = Pxy[j]; <LOOP-START>for (i = 0; i < NUM_SPECIES; i++) { Pxycol[i] = (perturb_rates[i] - ratesxy[i]) * fac; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i)<OMP-END>
LLNL/sundials/examples/kinsol/C_openmp/kinFoodWeb_kry_omp.c
#pragma omp parallel for collapse(2) default( \
100
*vxy; sunindextype *piv, jx, jy; UserData data; jx = jy = 0; data = (UserData)user_data; <LOOP-START>shared) private(jx, jy, Pxy, piv, vxy) schedule(static) for (jx = 0; jx < MX; jx++) { for (jy = 0; jy < MY; jy++) { /* For each (jx,jy), solve a linear system of size NUM_SPECIES. vxy is the address of the corresponding portion of the vector vv; Pxy is the address of the corresponding block of the matrix P; piv is the address of the corresponding block of the array pivot. */ vxy = IJ_Vptr(vv, jx, jy); Pxy = (data->P)[jx][jy]; piv = (data->pivot)[jx][jy]; SUNDlsMat_denseGETRS(Pxy, NUM_SPECIES, piv, vxy); } /* end of jy loop */ }<LOOP-END> <OMP-START>#pragma omp parallel for collapse(2) default( \<OMP-END>
LLNL/sundials/examples/kinsol/C_openmp/kinFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(i)
100
i++) { ratesxy[i] = DotProd(NUM_SPECIES, cxy, acoef[i]); } fac = ONE + ALPHA * xx * yy; <LOOP-START>for (i = 0; i < NUM_SPECIES; i++) { ratesxy[i] = cxy[i] * (bcoef[i] * fac + ratesxy[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i)<OMP-END>
LLNL/sundials/examples/arkode/C_openmp/ark_heat1D_omp.c
#pragma omp parallel for default(shared) private(i) schedule(static) \
100
= -SUN_RCONST(2.0) * k / dx / dx; isource = N / 2; Ydot[0] = 0.0; /* left boundary condition */ <LOOP-START>num_threads(udata->nthreads) for (i = 1; i < N - 1; i++) { Ydot[i] = c1 * Y[i - 1] + c2 * Y[i] + c1 * Y[i + 1]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i) schedule(static) \<OMP-END>
LLNL/sundials/examples/arkode/C_openmp/ark_heat1D_omp.c
#pragma omp parallel for default(shared) private(i) schedule(static) \
100
-vector products */ c1 = k / dx / dx; c2 = -SUN_RCONST(2.0) * k / dx / dx; JV[0] = 0.0; <LOOP-START>num_threads(udata->nthreads) for (i = 1; i < N - 1; i++) { JV[i] = c1 * V[i - 1] + c2 * V[i] + c1 * V[i + 1]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i) schedule(static) \<OMP-END>
LLNL/sundials/examples/arkode/C_openmp/ark_brusselator1D_omp.c
#pragma omp parallel for default(shared) private(i, u, ul, ur, v, vl, vr, w, \
100
mputing all equations */ uconst = du / dx / dx; vconst = dv / dx / dx; wconst = dw / dx / dx; <LOOP-START>wl, wr) schedule(static) \ num_threads(udata->nthreads) for (i = 1; i < N - 1; i++) { /* set shortcuts */ u = Ydata[IDX(i, 0)]; ul = Ydata[IDX(i - 1, 0)]; ur = Ydata[IDX(i + 1, 0)]; v = Ydata[IDX(i, 1)]; vl = Ydata[IDX(i - 1, 1)]; vr = Ydata[IDX(i + 1, 1)]; w = Ydata[IDX(i, 2)]; wl = Ydata[IDX(i - 1, 2)]; wr = Ydata[IDX(i + 1, 2)]; /* u_t = du*u_xx + a - (w+1)*u + v*u^2 */ dYdata[IDX(i, 0)] = (ul - SUN_RCONST(2.0) * u + ur) * uconst + a - (w + SUN_RCONST(1.0)) * u + v * u * u; /* v_t = dv*v_xx + w*u - v*u^2 */ dYdata[IDX(i, 1)] = (vl - SUN_RCONST(2.0) * v + vr) * vconst + w * u - v * u * u; /* w_t = dw*w_xx + (b-w)/ep - w*u */ dYdata[IDX(i, 2)] = (wl - SUN_RCONST(2.0) * w + wr) * wconst + (b - w) / ep - w * u; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i, u, ul, ur, v, vl, vr, w, \<OMP-END>
LLNL/sundials/examples/arkode/C_openmp/ark_brusselator1D_omp.c
#pragma omp parallel for default(shared) private(i) schedule(static) \
100
type wconst = c * udata->dw / dx / dx; /* iterate over intervals, filling in Jacobian entries */ <LOOP-START>num_threads(udata->nthreads) for (i = 1; i < N - 1; i++) { /* Jacobian of (L*y) at this node */ SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i - 1, 0)) += uconst; SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i - 1, 1)) += vconst; SM_ELEMENT_B(Jac, IDX(i, 2), IDX(i - 1, 2)) += wconst; SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i, 0)) -= SUN_RCONST(2.0) * uconst; SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i, 1)) -= SUN_RCONST(2.0) * vconst; SM_ELEMENT_B(Jac, IDX(i, 2), IDX(i, 2)) -= SUN_RCONST(2.0) * wconst; SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i + 1, 0)) += uconst; SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i + 1, 1)) += vconst; SM_ELEMENT_B(Jac, IDX(i, 2), IDX(i + 1, 2)) += wconst; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i) schedule(static) \<OMP-END>
LLNL/sundials/examples/arkode/C_openmp/ark_brusselator1D_omp.c
#pragma omp parallel for default(shared) private(i, u, v, w) schedule(static) \
100
a, "N_VGetArrayPointer", 0)) { return 1; } /* iterate over nodes, filling in Jacobian entries */ <LOOP-START>num_threads(udata->nthreads) for (i = 1; i < N - 1; i++) { /* set nodal value shortcuts (shifted index due to start at first interior node) */ u = Ydata[IDX(i, 0)]; v = Ydata[IDX(i, 1)]; w = Ydata[IDX(i, 2)]; /* all vars wrt u */ SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i, 0)) += c * (SUN_RCONST(2.0) * u * v - (w + SUN_RCONST(1.0))); SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i, 0)) += c * (w - SUN_RCONST(2.0) * u * v); SM_ELEMENT_B(Jac, IDX(i, 2), IDX(i, 0)) += c * (-w); /* all vars wrt v */ SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i, 1)) += c * (u * u); SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i, 1)) += c * (-u * u); /* all vars wrt w */ SM_ELEMENT_B(Jac, IDX(i, 0), IDX(i, 2)) += c * (-u); SM_ELEMENT_B(Jac, IDX(i, 1), IDX(i, 2)) += c * (u); SM_ELEMENT_B(Jac, IDX(i, 2), IDX(i, 2)) += c * (-SUN_RCONST(1.0) / ep - u); }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(i, u, v, w) schedule(static) \<OMP-END>
LLNL/sundials/examples/ida/C_openmp/idaFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(jy, jx, is, yloc, loc) \
100
idual values appropriately for differential or algebraic components. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (jy = 0; jy < MY; jy++) { yloc = NSMX * jy; for (jx = 0; jx < MX; jx++) { loc = yloc + NUM_SPECIES * jx; for (is = 0; is < NUM_SPECIES; is++) { if (is < np) { resv[loc + is] = cpv[loc + is] - resv[loc + is]; } else { resv[loc + is] = -resv[loc + is]; } } } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(jy, jx, is, yloc, loc) \<OMP-END>
LLNL/sundials/examples/ida/C_openmp/idaFoodWeb_kry_omp.c
#pragma omp parallel for collapse(2) default(shared) private(jx, jy, zxy, Pxy, \
100
UserData webdata; jx = jy = 0; webdata = (UserData)user_data; N_VScale(ONE, rvec, zvec); <LOOP-START>pivot) \ schedule(static) num_threads(webdata->nthreads) for (jx = 0; jx < MX; jx++) { for (jy = 0; jy < MY; jy++) { zxy = IJ_Vptr(zvec, jx, jy); Pxy = (webdata->PP)[jx][jy]; pivot = (webdata->pivot)[jx][jy]; SUNDlsMat_denseGETRS(Pxy, NUM_SPECIES, pivot, zxy); } }<LOOP-END> <OMP-START>#pragma omp parallel for collapse(2) default(shared) private(jx, jy, zxy, Pxy, \<OMP-END>
LLNL/sundials/examples/ida/C_openmp/idaFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \
100
x, yy, cxy, ratesxy, webdata); /* Loop over species, do differencing, load crate segment. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (is = 0; is < NUM_SPECIES; is++) { /* Differencing in y. */ dcyli = *(cxy + is) - *(cxy - idyl + is); dcyui = *(cxy + idyu + is) - *(cxy + is); /* Differencing in x. */ dcxli = *(cxy + is) - *(cxy - idxl + is); dcxui = *(cxy + idxu + is) - *(cxy + is); /* Compute the crate values at (xx,yy). */ cratexy[is] = coy[is] * (dcyui - dcyli) + cox[is] * (dcxui - dcxli) + ratesxy[is]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \<OMP-END>
LLNL/sundials/examples/ida/C_openmp/idaFoodWeb_bnd_omp.c
#pragma omp parallel for default(shared) private(jy, yloc, jx, loc, is) \
100
idual values appropriately for differential or algebraic components. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (jy = 0; jy < MY; jy++) { yloc = NSMX * jy; for (jx = 0; jx < MX; jx++) { loc = yloc + NUM_SPECIES * jx; for (is = 0; is < NUM_SPECIES; is++) { if (is < np) { resv[loc + is] = cpv[loc + is] - resv[loc + is]; } else { resv[loc + is] = -resv[loc + is]; } } } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(jy, yloc, jx, loc, is) \<OMP-END>
LLNL/sundials/examples/ida/C_openmp/idaFoodWeb_bnd_omp.c
#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \
100
x, yy, cxy, ratesxy, webdata); /* Loop over species, do differencing, load crate segment. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (is = 0; is < NUM_SPECIES; is++) { /* Differencing in y. */ dcyli = *(cxy + is) - *(cxy - idyl + is); dcyui = *(cxy + idyu + is) - *(cxy + is); /* Differencing in x. */ dcxli = *(cxy + is) - *(cxy - idxl + is); dcxui = *(cxy + idxu + is) - *(cxy + is); /* Compute the crate values at (xx,yy). */ cratexy[is] = coy[is] * (dcyui - dcyli) + cox[is] * (dcxui - dcxli) + ratesxy[is]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \<OMP-END>
LLNL/sundials/examples/cvode/C_openmp/cvAdvDiff_bnd_omp.c
#pragma omp parallel for default(shared) private(j, i, uij, udn, uup, ult, \
100
= data->hdcoef; horac = data->hacoef; verdc = data->vdcoef; /* Loop over all grid points. */ <LOOP-START>urt, hdiff, hadv, vdiff) \ num_threads(data->nthreads) for (j = 1; j <= MY; j++) { for (i = 1; i <= MX; i++) { /* Extract u at x_i, y_j and four neighboring points */ uij = IJth(udata, i, j); udn = (j == 1) ? ZERO : IJth(udata, i, j - 1); uup = (j == MY) ? ZERO : IJth(udata, i, j + 1); ult = (i == 1) ? ZERO : IJth(udata, i - 1, j); urt = (i == MX) ? ZERO : IJth(udata, i + 1, j); /* Set diffusion and advection terms and load into udot */ hdiff = hordc * (ult - TWO * uij + urt); hadv = horac * (urt - ult); vdiff = verdc * (uup - TWO * uij + udn); IJth(dudata, i, j) = hdiff + hadv + vdiff; } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(j, i, uij, udn, uup, ult, \<OMP-END>
LLNL/sundials/examples/cvode/C_openmp/cvAdvDiff_bnd_omp.c
#pragma omp parallel for collapse(2) default(shared) private(i, j, k, kthCol) \
100
ta = (UserData)user_data; hordc = data->hdcoef; horac = data->hacoef; verdc = data->vdcoef; <LOOP-START>num_threads(data->nthreads) for (j = 1; j <= MY; j++) { for (i = 1; i <= MX; i++) { k = j - 1 + (i - 1) * MY; kthCol = SUNBandMatrix_Column(J, k); /* set the kth column of J */ SM_COLUMN_ELEMENT_B(kthCol, k, k) = -TWO * (verdc + hordc); if (i != 1) { SM_COLUMN_ELEMENT_B(kthCol, k - MY, k) = hordc + horac; } if (i != MX) { SM_COLUMN_ELEMENT_B(kthCol, k + MY, k) = hordc - horac; } if (j != 1) { SM_COLUMN_ELEMENT_B(kthCol, k - 1, k) = verdc; } if (j != MY) { SM_COLUMN_ELEMENT_B(kthCol, k + 1, k) = verdc; } } }<LOOP-END> <OMP-START>#pragma omp parallel for collapse(2) default(shared) private(i, j, k, kthCol) \<OMP-END>
LLNL/sundials/examples/cvode/C_openmp/cvAdvDiff_bnd_omp.c
#pragma omp parallel for default(shared) private(j, i, y, x)
100
o data array in vector u. */ udata = NV_DATA_OMP(u); /* Load initial profile into u vector */ <LOOP-START>for (j = 1; j <= MY; j++) { y = j * dy; for (i = 1; i <= MX; i++) { x = i * dx; IJth(udata, i, j) = x * (XMAX - x) * y * (YMAX - y) * exp(FIVE * x * y); } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(j, i, y, x)<OMP-END>
LLNL/sundials/examples/idas/C_openmp/idasFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(jy, jx, is, yloc, loc) \
100
idual values appropriately for differential or algebraic components. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (jy = 0; jy < MY; jy++) { yloc = NSMX * jy; for (jx = 0; jx < MX; jx++) { loc = yloc + NUM_SPECIES * jx; for (is = 0; is < NUM_SPECIES; is++) { if (is < np) { resv[loc + is] = cpv[loc + is] - resv[loc + is]; } else { resv[loc + is] = -resv[loc + is]; } } } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(jy, jx, is, yloc, loc) \<OMP-END>
LLNL/sundials/examples/idas/C_openmp/idasFoodWeb_kry_omp.c
#pragma omp parallel for collapse(2) default(shared) private(jx, jy, zxy, Pxy, \
100
UserData webdata; jx = jy = 0; webdata = (UserData)user_data; N_VScale(ONE, rvec, zvec); <LOOP-START>pivot) \ schedule(static) num_threads(webdata->nthreads) for (jx = 0; jx < MX; jx++) { for (jy = 0; jy < MY; jy++) { zxy = IJ_Vptr(zvec, jx, jy); Pxy = (webdata->PP)[jx][jy]; pivot = (webdata->pivot)[jx][jy]; SUNDlsMat_denseGETRS(Pxy, NUM_SPECIES, pivot, zxy); } }<LOOP-END> <OMP-START>#pragma omp parallel for collapse(2) default(shared) private(jx, jy, zxy, Pxy, \<OMP-END>
LLNL/sundials/examples/idas/C_openmp/idasFoodWeb_kry_omp.c
#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \
100
x, yy, cxy, ratesxy, webdata); /* Loop over species, do differencing, load crate segment. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (is = 0; is < NUM_SPECIES; is++) { /* Differencing in y. */ dcyli = *(cxy + is) - *(cxy - idyl + is); dcyui = *(cxy + idyu + is) - *(cxy + is); /* Differencing in x. */ dcxli = *(cxy + is) - *(cxy - idxl + is); dcxui = *(cxy + idxu + is) - *(cxy + is); /* Compute the crate values at (xx,yy). */ cratexy[is] = coy[is] * (dcyui - dcyli) + cox[is] * (dcxui - dcxli) + ratesxy[is]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \<OMP-END>
LLNL/sundials/examples/idas/C_openmp/idasFoodWeb_bnd_omp.c
#pragma omp parallel for default(shared) private(jy, yloc, jx, loc, is) \
100
idual values appropriately for differential or algebraic components. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (jy = 0; jy < MY; jy++) { yloc = NSMX * jy; for (jx = 0; jx < MX; jx++) { loc = yloc + NUM_SPECIES * jx; for (is = 0; is < NUM_SPECIES; is++) { if (is < np) { resv[loc + is] = cpv[loc + is] - resv[loc + is]; } else { resv[loc + is] = -resv[loc + is]; } } } }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(jy, yloc, jx, loc, is) \<OMP-END>
LLNL/sundials/examples/idas/C_openmp/idasFoodWeb_bnd_omp.c
#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \
100
x, yy, cxy, ratesxy, webdata); /* Loop over species, do differencing, load crate segment. */ <LOOP-START>schedule(static) num_threads(webdata->nthreads) for (is = 0; is < NUM_SPECIES; is++) { /* Differencing in y. */ dcyli = *(cxy + is) - *(cxy - idyl + is); dcyui = *(cxy + idyu + is) - *(cxy + is); /* Differencing in x. */ dcxli = *(cxy + is) - *(cxy - idxl + is); dcxui = *(cxy + idxu + is) - *(cxy + is); /* Compute the crate values at (xx,yy). */ cratexy[is] = coy[is] * (dcyui - dcyli) + cox[is] * (dcxui - dcxli) + ratesxy[is]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(shared) private(is, dcyli, dcyui, dcxli, dcxui) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, a, b, xd, yd, zd) \
100
*/ N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = (a * xd[i]) + (b * yd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, a, b, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, c, zd) \
100
tialize to suppress clang warning */ zd = NULL; N = NV_LENGTH_OMP(z); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(z)) for (i = 0; i < N; i++) { zd[i] = c; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, c, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i] * yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i] / yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, c, xd, zd) \
100
P(x, z); } else { N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = c * xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, c, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>for (i = 0; i < N; i++) { zd[i] = SUNRabs(xd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) num_threads(NV_NUM_THREADS_OMP(x))<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = ONE / xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, b, xd, zd) \
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i] + b; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, b, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \
100
= ZERO; xd = yd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); <LOOP-START>reduction(+ : sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { sum += xd[i] * yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, wd) \
100
= ZERO; xd = wd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); wd = NV_DATA_OMP(w); <LOOP-START>reduction(+ : sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { sum += SUNSQR(xd[i] * wd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, wd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd) \
100
ress clang warning */ sum = ZERO; xd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); <LOOP-START>reduction(+ : sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { sum += SUNRabs(xd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, c, xd, zd) \
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = (SUNRabs(xd[i]) >= c) ? ONE : ZERO; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, c, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, val, xd, zd) \
100
zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); val = ZERO; <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { if (xd[i] == ZERO) { val = ONE; } else { zd[i] = ONE / xd[i]; } }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, val, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i, test) \
100
ENGTH_OMP(x); xd = NV_DATA_OMP(x); cd = NV_DATA_OMP(c); md = NV_DATA_OMP(m); temp = ZERO; <LOOP-START>shared(N, xd, cd, md, temp) schedule(static) \ num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { md[i] = ZERO; /* Continue if no constraints were set for the variable */ if (cd[i] == ZERO) { continue; } /* Check if a set constraint has been violated */ test = (SUNRabs(cd[i]) > ONEPT5 && xd[i] * cd[i] <= ZERO) || (SUNRabs(cd[i]) > HALF && xd[i] * cd[i] < ZERO); if (test) { temp = md[i] = ONE; /* Here is a race to write to temp */ } }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i, test) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, wd) \
100
= ZERO; xd = wd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); wd = NV_DATA_OMP(w); <LOOP-START>reduction(+ : sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { sum += SUNSQR(xd[i] * wd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, wd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, wd, idd) \
100
N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); wd = NV_DATA_OMP(w); idd = NV_DATA_OMP(id); <LOOP-START>reduction(+ : sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { if (idd[i] > ZERO) { sum += SUNSQR(xd[i] * wd[i]); } }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, wd, idd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i] + yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = xd[i] - yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \
100
rning */ xd = zd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = -xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, c, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = c * (xd[i] + yd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, c, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, c, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = c * (xd[i] - yd[i]); }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, c, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = (a * xd[i]) + yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd, zd) \
100
LL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); zd = NV_DATA_OMP(z); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { zd[i] = (a * xd[i]) - yd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd, zd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \
100
NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); yd = NV_DATA_OMP(y); if (a == ONE) { <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { yd[i] += xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \
100
READS_OMP(x)) for (i = 0; i < N; i++) { yd[i] += xd[i]; } return; } if (a == -ONE) { <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { yd[i] -= xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, xd, yd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd) \
100
num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { yd[i] -= xd[i]; } return; } <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { yd[i] += a * xd[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, a, xd, yd) \<OMP-END>
LLNL/sundials/src/nvector/openmp/nvector_openmp.c
#pragma omp parallel for default(none) private(i) shared(N, a, xd) \
100
tialize to suppress clang warning */ xd = NULL; N = NV_LENGTH_OMP(x); xd = NV_DATA_OMP(x); <LOOP-START>schedule(static) num_threads(NV_NUM_THREADS_OMP(x)) for (i = 0; i < N; i++) { xd[i] *= a; }<LOOP-END> <OMP-START>#pragma omp parallel for default(none) private(i) shared(N, a, xd) \<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
mp teams distribute { for (i = 1; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { to_add = c[i] * xd_dev[j]; #pragma omp atomic zd_dev[j] += to_add; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
mp teams distribute { for (i = 1; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { to_add = c[i] * xd_dev[j]; #pragma omp atomic zd_dev[j] += to_add; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
pragma omp teams distribute { for (i = 1; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { to_add = c[i] * xd_dev[j]; #pragma omp atomic zd_dev[j] += to_add; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
mp teams distribute { for (i = 0; i < nvec; i++) { yd_dev = yd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { yd_dev[j] += a[i] * xd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
for (i = 0; i < nvec; i++) { yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = a[i] * xd_dev[j] + yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for reduction(+ : sum) schedule(static, 1)
100
p teams distribute for (i = 0; i < nvec; i++) { yd_dev = yd_dev_ptrs[i]; sum = ZERO; <LOOP-START>for (j = 0; j < N; j++) { sum += xd_dev[j] * yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for reduction(+ : sum) schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = a * xd_dev[j] + b * yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
mp teams distribute { for (i = 0; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { xd_dev[j] *= c[i]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
for (i = 0; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = c[i] * xd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
pragma omp teams distribute { for (i = 0; i < nvec; i++) { zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = c; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for reduction(+ : sum) schedule(static, 1)
100
nvec; i++) { xd_dev = xd_dev_ptrs[i]; wd_dev = wd_dev_ptrs[i]; sum = ZERO; <LOOP-START>{ for (j = 0; j < N; j++) { sum += SUNSQR(xd_dev[j] * wd_dev[j]); } }<LOOP-END> <OMP-START>#pragma omp parallel for reduction(+ : sum) schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for reduction(+ : sum) schedule(static, 1)
100
nvec; i++) { xd_dev = xd_dev_ptrs[i]; wd_dev = wd_dev_ptrs[i]; sum = ZERO; <LOOP-START>{ for (j = 0; j < N; j++) { if (idd_dev[j] > ZERO) { sum += SUNSQR(xd_dev[j] * wd_dev[j]); } } }<LOOP-END> <OMP-START>#pragma omp parallel for reduction(+ : sum) schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
ptrs[i]; for (j = 0; j < nsum; j++) { yd_dev = yd_dev_ptrs[i * nsum + j]; <LOOP-START>for (k = 0; k < N; k++) { yd_dev[k] += a[j] * xd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
++) { yd_dev = yd_dev_ptrs[i * nsum + j]; zd_dev = zd_dev_ptrs[i * nsum + j]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] = a[j] * xd_dev[k] + yd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
ptrs[j]; for (i = 1; i < nsum; i++) { xd_dev = xd_dev_ptrs[j * nsum + i]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] += c[i] * xd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
mp teams distribute { for (j = 0; j < nvec; j++) { zd_dev = zd_dev_ptrs[j]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] *= c[0]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
c[0]; } for (i = 1; i < nsum; i++) { xd_dev = xd_dev_ptrs[j * nsum + i]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] += c[i] * xd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
sum into the output vector */ xd_dev = xd_dev_ptrs[j * nsum]; zd_dev = zd_dev_ptrs[j]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] = c[0] * xd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
tput vector */ for (i = 1; i < nsum; i++) { xd_dev = xd_dev_ptrs[j * nsum + i]; <LOOP-START>for (k = 0; k < N; k++) { zd_dev[k] += c[i] * xd_dev[k]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = xd_dev[j] + yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = xd_dev[j] - yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = c * (xd_dev[j] + yd_dev[j]); }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = c * (xd_dev[j] - yd_dev[j]); }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = (a * xd_dev[j]) + yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
{ xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; zd_dev = zd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { zd_dev[j] = (a * xd_dev[j]) - yd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
or (i = 0; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { yd_dev[j] += xd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>
LLNL/sundials/src/nvector/openmpdev/nvector_openmpdev.c
#pragma omp parallel for schedule(static, 1)
100
or (i = 0; i < nvec; i++) { xd_dev = xd_dev_ptrs[i]; yd_dev = yd_dev_ptrs[i]; <LOOP-START>for (j = 0; j < N; j++) { yd_dev[j] -= xd_dev[j]; }<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static, 1)<OMP-END>