| 1 | /* Computing the solver for heat equation in multithreads, then compare the
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| 2 | * result with the solver got in a sequencial way.
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| 3 | *
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| 4 | * Command line example:
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| 5 | * civl verify -inputNB=10 -inputK=0.3 -inputNSTEPS=5 -inputNX=10 diffusion_1d.c -showAmpleSet
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| 6 | * This diffusion1d program computing the diffusion1d equation in parallel and then compare the result with
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| 7 | * another result of diffution1d equation computed in sequential.
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| 8 | **/
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| 9 |
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| 10 | #include<civlc.h>
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| 11 | #include<stdio.h>
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| 12 | #define FROM_LEFT 1 /* mpi tag which means the source is send or receive
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| 13 | from left u */
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| 14 | #define FROM_RIGHT 2 /* mpi tag which means the source is send or receive
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| 15 | from right u */
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| 16 | #define REDUCE 3 /* reduce tag */
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| 17 | $input int NPROCS;
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| 18 | $input int NPROCSB;
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| 19 | $input double K; /* k = alpha^2 * dt/(dx^2) */
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| 20 | $input int NSTEPS; /* time */
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| 21 | $input int NSTEPSB;
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| 22 | $input int NX; /* the length of the array */
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| 23 | $input int NXB;
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| 24 | $input double initialU[NX];
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| 25 | $proc __procs[NPROCS];
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| 26 | _Bool __start = 0;
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| 27 | $comm MPI_COMM_WORLD;
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| 28 | $assume 0 < NPROCS && NPROCS <= NPROCSB;
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| 29 | $assume 0 < NSTEPS && NSTEPS <= NSTEPSB;
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| 30 | $assume 2 < NX && NX <= NXB;
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| 31 |
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| 32 | void MPI_Process (int rank);
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| 33 |
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| 34 | void send(void *buf, int count, int dest, int tag, int rank) {
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| 35 | $message out = $message_pack(rank, dest, tag, buf, count*sizeof(double));
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| 36 | $comm_enqueue(&MPI_COMM_WORLD, out);
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| 37 | }
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| 38 |
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| 39 | void recv(void *buf, int count, int source, int tag, int rank) {
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| 40 | $message in = $comm_dequeue(&MPI_COMM_WORLD, source, rank, tag);
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| 41 | $message_unpack(in, buf, count*sizeof(double));
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| 42 | }
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| 43 |
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| 44 | void init() {
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| 45 | for (int i=0; i<NPROCS; i++)
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| 46 | __procs[i] = $spawn MPI_Process(i);
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| 47 | MPI_COMM_WORLD = $comm_create(NPROCS, __procs);
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| 48 | __start=1;
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| 49 | }
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| 50 |
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| 51 | void finalize() {
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| 52 | for (int i=0; i<NPROCS; i++)
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| 53 | $wait __procs[i];
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| 54 | }
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| 55 |
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| 56 | void main() {
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| 57 | init();
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| 58 | finalize();
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| 59 | }
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| 60 |
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| 61 | /* update the array */
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| 62 | void update(double * u, double * u_new, int start, int end){
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| 63 | int i;
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| 64 | int u_length = end - start + 1;
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| 65 |
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| 66 | for(i=1; i<u_length+1; i++){
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| 67 | u_new[i] = u[i] + K * (u[i-1] + u[i+1] - 2*u[i]);
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| 68 | }
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| 69 | for(i=1; i<u_length+1; i++){
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| 70 | u[i] = u_new[i];
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| 71 | }
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| 72 | }
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| 73 |
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| 74 | /* Communicate with left u and right u,
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| 75 | send the first interior element to left u and receive for
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| 76 | the last interior element */
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| 77 | void communicate(double * u, int left, int right, int start,
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| 78 | int end, int rank){
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| 79 | int u_length = end - start + 1;
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| 80 | // the most left or right us just need to exchange with one side
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| 81 | if(left == -1 && right == -1)
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| 82 | return;
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| 83 | else if(left == -1){
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| 84 | send(&u[u_length], 1, right, FROM_LEFT, rank);
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| 85 | recv(&u[u_length + 1], 1, right, FROM_RIGHT, rank);
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| 86 | }
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| 87 | else if(right == -1){
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| 88 | send(&u[1], 1, left, FROM_RIGHT, rank);
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| 89 | recv(&u[0], 1, left, FROM_LEFT, rank);
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| 90 | }else{
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| 91 | send(&u[u_length], 1, right, FROM_LEFT, rank);
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| 92 | send(&u[1], 1, left, FROM_RIGHT, rank);
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| 93 | recv(&u[u_length + 1], 1, right, FROM_RIGHT, rank);
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| 94 | recv(&u[0], 1, left, FROM_LEFT, rank);
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| 95 | }
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| 96 | }
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| 97 |
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| 98 | /* compute the value of start, end, left u and right u
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| 99 | return an array with those values in such order*/
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| 100 | int uProperties(int length, int nprocs, int rank, int* results){
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| 101 | if(length < 3 )
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| 102 | return -1;
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| 103 | int remainder = (length - 2) % nprocs;
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| 104 | int u_length =(length - 2) / nprocs;
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| 105 | int start = rank * u_length + 1;
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| 106 |
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| 107 | //the last u takes the remainder
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| 108 | if(rank == nprocs - 1){
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| 109 | u_length = u_length + remainder;
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| 110 | }
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| 111 |
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| 112 | int end = start + u_length - 1;
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| 113 | int left_u = rank - 1;
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| 114 | int right_u = rank + 1;
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| 115 |
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| 116 | if(right_u >= nprocs)
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| 117 | right_u = -1;
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| 118 | results[0] = start;
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| 119 | results[1] = end;
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| 120 | results[2] = left_u;
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| 121 | results[3] = right_u;
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| 122 | return 1;
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| 123 |
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| 124 | }
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| 125 |
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| 126 | /* the numbers of elements in u and u_new are 2 more than u_length because of
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| 127 | ghost elements */
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| 128 | int initU(double * u, double * u_new, int start, int end,
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| 129 | int left_u, int right_u){
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| 130 | int i,j;
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| 131 | int u_length = end - start + 1; // the number of interior elements
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| 132 |
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| 133 | /* initiate interior array */
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| 134 | j = start;
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| 135 | for(i=1; i< u_length+1; i++){
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| 136 | u[i] = initialU[j];
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| 137 | u_new[i] = initialU[j];
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| 138 | j++;
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| 139 | }
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| 140 |
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| 141 | /* for the most left or right Us, initiate the first ghost element and
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| 142 | the last ghost element */
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| 143 | if(left_u == -1){
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| 144 | u[0] = initialU[0];
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| 145 | u_new[0] = initialU[0];
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| 146 | }
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| 147 | if(right_u == -1){
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| 148 | i = u_length + 1;
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| 149 | u[i] = initialU[NX-1];
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| 150 | u_new[i] = initialU[NX-1];
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| 151 | }
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| 152 | return u_length;
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| 153 | }
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| 154 |
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| 155 | /* gather separate results from all processes */
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| 156 | void combineU(int start, int end, double * u, int rank, double * whole_u, int nprocs){
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| 157 | double receive_whole_u[NX];
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| 158 | whole_u[0] = initialU[0];
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| 159 | whole_u[NX - 1] = initialU[NX-1];
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| 160 | int i = start;
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| 161 | int j = 1;
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| 162 | int k = 1;
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| 163 | for(; k<NX-1; k++){
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| 164 | whole_u[k] = 0;
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| 165 | }
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| 166 | for(; i < end+1; i++){
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| 167 | whole_u[i] = u[j];
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| 168 | j++;
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| 169 | }
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| 170 | if(rank != 0){
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| 171 | send(whole_u, NX, 0, REDUCE, rank);
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| 172 | }else{
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| 173 | for(i = 1; i<nprocs; i++){
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| 174 | recv(receive_whole_u, NX, i, REDUCE, rank);
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| 175 | for(j = 1; j<NX-1; j++){
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| 176 | whole_u[j] += receive_whole_u[j];
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| 177 | }
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| 178 | }
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| 179 | }
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| 180 | }
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| 181 |
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| 182 | /* computing the solver in a sequential way*/
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| 183 | void seqDiffusion1d(double * seq_u){
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| 184 | double u[NX], u_new[NX];
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| 185 | int i;
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| 186 | int nsteps = NSTEPS;
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| 187 |
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| 188 | //Initiate
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| 189 | for(i=0; i<NX; i++){
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| 190 | u[i] = initialU[i];
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| 191 | u_new[i] = initialU[i];
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| 192 | }
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| 193 | //Jacobi Iteration
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| 194 | while(nsteps > 0){
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| 195 | //update
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| 196 | for(i=1; i<NX-1; i++){
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| 197 | u_new[i] = u[i] + K * (u[i-1] + u[i+1] - 2*u[i]);
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| 198 | }
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| 199 | for(i=1; i<NX-1; i++){
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| 200 | u[i] = u_new[i];
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| 201 | }
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| 202 | nsteps--;
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| 203 | }
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| 204 | for(i=0 ;i<NX; i++){
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| 205 | seq_u[i] = u[i];
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| 206 | }
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| 207 | }
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| 208 |
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| 209 | void MPI_Process (int rank){
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| 210 | $when (__start);
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| 211 | double whole_u[NX]; /* The array used for gather results from every processes */
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| 212 | double seq_u[NX]; /* The array used for store sequential computing results */
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| 213 | int nprocs; /* number of processes*/
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| 214 | int start, end; /* the index of the u*/
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| 215 | int left_u, right_u; /* the index of the left u
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| 216 | and right u*/
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| 217 | int u_length; /* number of elements in this u*/
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| 218 | int temp[4]; /*temp buffer for start, end, left_u and right_u */
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| 219 | int nsteps = NSTEPS;
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| 220 |
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| 221 | if(NPROCS > (NX-2)){
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| 222 | nprocs = (NX - 2);
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| 223 | if(rank >= (NX-2)){
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| 224 | return;
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| 225 | }
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| 226 | }else{
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| 227 | nprocs = NPROCS;
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| 228 | }
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| 229 | uProperties(NX,nprocs,rank,temp);
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| 230 | start = temp[0];
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| 231 | end = temp[1];
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| 232 | left_u = temp[2];
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| 233 | right_u = temp[3];
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| 234 | u_length = end - start + 1;
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| 235 | double u[u_length + 2];
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| 236 | double u_new[u_length + 2];
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| 237 | initU(u, u_new, start, end, left_u, right_u);
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| 238 | /* Jacobi Iterations*/
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| 239 | while(nsteps > 0){
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| 240 | communicate(u, left_u, right_u, start, end, rank);
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| 241 | update(u, u_new, start, end);
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| 242 | nsteps --;
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| 243 | }
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| 244 | /* Gathering the result from every processes into whole_u and compare it with the result seq_u which got
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| 245 | from sequential computing function */
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| 246 | combineU(start,end,u,rank, whole_u, nprocs);
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| 247 | if(rank == 0){
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| 248 | seqDiffusion1d(seq_u);
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| 249 | for(int i=0; i<NX; i++){
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| 250 | $assert ((seq_u[i] == whole_u[i]), "i = %d\n", i);
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| 251 | }
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| 252 | }
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| 253 | }
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