florian/triangle_reflection_complex
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

use mpi to run on cluster

Browse Source
This commit is contained in:
Florian Stecker 2021-10-01 13:36:56 -05:00
parent b5bd9d398f
commit 528f329c59
2 changed files with 324 additions and 189 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
Makefile
View File

@ -3,20 +3,24 @@ HEADERS=linalg.h mat.h coxeter.h
#SPECIAL_OPTIONS=-O0 -g -D_DEBUG #SPECIAL_OPTIONS=-O0 -g -D_DEBUG
#SPECIAL_OPTIONS=-O3 -pg -funroll-loops -fno-inline #SPECIAL_OPTIONS=-O3 -pg -funroll-loops -fno-inline
SPECIAL_OPTIONS=-O3 -flto -funroll-loops -Winline SPECIAL_OPTIONS=-O3 -flto -funroll-loops -Winline
#SPECIAL_OPTIONS=-O3 -flto -funroll-loops -Winline -mavx512f -mavx512cd -mavx512er -mavx512pf # KNL
#SPECIAL_OPTIONS= #SPECIAL_OPTIONS=
OPTIONS=-m64 -march=native -mtune=native -std=gnu99 -D_GNU_SOURCE $(SPECIAL_OPTIONS) OPTIONS=-I../mps/include -L../mps/lib -pthread -m64 -std=gnu99 -D_GNU_SOURCE $(SPECIAL_OPTIONS)
all: singular_values special_element all: singular_values special_element convert
singular_values: singular_values.o coxeter.o linalg.o mat.o convert: convert.hs
gcc $(OPTIONS) -o singular_values coxeter.o linalg.o singular_values.o mat.o -lm -lgsl -lcblas -lgmp -lmps -lpthread ghc --make -dynamic convert.hs
singular_values: singular_values.o coxeter.o mat.o
mpicc $(OPTIONS) -o singular_values coxeter.o singular_values.o mat.o -lm -lgmp -lmps
special_element: special_element.o coxeter.o linalg.o mat.o special_element: special_element.o coxeter.o linalg.o mat.o
gcc $(OPTIONS) -o special_element coxeter.o linalg.o special_element.o mat.o -lm -lgsl -lcblas -lgmp -lmps -lpthread gcc $(OPTIONS) -o special_element coxeter.o linalg.o special_element.o mat.o -lm -lgmp -lmps
singular_values.o: singular_values.c $(HEADERS) singular_values.o: singular_values.c $(HEADERS)
gcc $(OPTIONS) -c singular_values.c mpicc $(OPTIONS) -c singular_values.c
special_element.o: special_element.c $(HEADERS) special_element.o: special_element.c $(HEADERS)
gcc $(OPTIONS) -c special_element.c gcc $(OPTIONS) -c special_element.c
@ -31,4 +35,4 @@ mat.o: mat.c $(HEADERS)
gcc $(OPTIONS) -c mat.c gcc $(OPTIONS) -c mat.c
clean: clean:
rm -f singular_values special_element coxeter.o linalg.o singular_values.o mat.o special_element.o rm -f singular_values special_element coxeter.o linalg.o singular_values.o mat.o special_element.o convert.hi convert.o convert

501
singular_values.c
View File

@ -1,18 +1,65 @@
#include "coxeter.h" #include "coxeter.h"
#include "linalg.h" //#include "linalg.h"
#include "mat.h" #include "mat.h"
#include <gsl/gsl_poly.h> //#include <gsl/gsl_poly.h>
#include <mps/mps.h> #include <mps/mps.h>
#include <mpi.h>
#include <sys/stat.h>
#include <sys/mman.h>
#include <fcntl.h>
#include <errno.h>
#include <string.h>
#include <unistd.h>
#define MIN(x,y) ((x)<(y)?(x):(y))
#define SWAP(t,x,y) do { t _tmp = (x); (x) = (y); (y) = _tmp; } while (0); #define SWAP(t,x,y) do { t _tmp = (x); (x) = (y); (y) = _tmp; } while (0);
#define DEBUG(msg, ...) do { print_time(); fprintf(stderr, msg, ##__VA_ARGS__); } while (0); #define DEBUG(msg, ...) do { print_time(); fprintf(stderr, msg, ##__VA_ARGS__); } while (0);
//#define DEBUG(msg, ...) //#define DEBUG(msg, ...)
//#define OUTPUT_POINTS #define TDIV 10
#define OUTPUT_SUMMARY #define TFROM 1
#define TTO 9
#define MDIV 10
#define MFROM 1
#define MTO 9
#define JOBNR(t,m) (((t)-TFROM) + ((m)-MFROM)*(TTO-TFROM+1))
#define NJOBS ((TTO-TFROM+1)*(MTO-MFROM+1))
#define FLUSH_INTERVAL 100
enum message_tag {
JOB_ORDER,
JOB_RESULT,
JOB_SHUTDOWN,
};
struct job {
int tparam, mparam;
int done;
double max_slope;
double time;
};
struct result {
mpq_t tr;
mpq_t trinv;
};
struct global_data {
int n;
group_t *group;
mat* matrices;
struct result *invariants;
struct result **distinct_invariants;
mps_context *solver;
};
struct timespec starttime; struct timespec starttime;
char processor_name[MPI_MAX_PROCESSOR_NAME];
int world_rank;
int world_size;
MPI_Datatype job_datatype;
void print_time() void print_time()
{ {
@ -23,14 +70,43 @@ void print_time()
diff = (current.tv_sec - starttime.tv_sec) + (current.tv_nsec - starttime.tv_nsec)*1e-9; diff = (current.tv_sec - starttime.tv_sec) + (current.tv_nsec - starttime.tv_nsec)*1e-9;
fprintf(stderr, "[%.3f] ", diff); fprintf(stderr, "[%04d %.3f] ", world_rank, diff);
} }
static struct global_data allocate_global_data(int n)
{
struct global_data result;
result.n = n;
result.matrices = malloc(n*sizeof(mat));
for(int i = 0; i < n; i++)
mat_init(result.matrices[i], 3);
result.invariants = malloc(n*sizeof(struct result));
result.distinct_invariants = malloc(n*sizeof(struct result*));
for(int i = 0; i < n; i++) {
mpq_init(result.invariants[i].tr);
mpq_init(result.invariants[i].trinv);
result.distinct_invariants[i] = &result.invariants[i];
}
result.solver = mps_context_new();
mps_context_set_output_prec(result.solver, 20); // relative precision
mps_context_set_output_goal(result.solver, MPS_OUTPUT_GOAL_APPROXIMATE);
struct result { return result;
mpq_t tr; }
mpq_t trinv;
}; void free_global_data(struct global_data dat)
{
for(int i = 0; i < dat.n; i++)
mat_clear(dat.matrices[i]);
free(dat.matrices);
for(int i = 0; i < dat.n; i++) {
mpq_clear(dat.invariants[i].tr);
mpq_clear(dat.invariants[i].trinv);
}
free(dat.invariants);
free(dat.distinct_invariants);
mps_context_free(dat.solver);
}
static int compare_result(const void *a_, const void *b_) static int compare_result(const void *a_, const void *b_)
{ {
@ -272,167 +348,31 @@ void enumerate(group_t *group, mat *matrices, mpq_t m, mpq_t t)
mat_workspace_clear(ws); mat_workspace_clear(ws);
} }
void output_invariants(group_t *group, mat *matrices, mpq_t s, mpq_t q, mps_context *solver)
double compute_max_slope(struct global_data dat, mpq_t t, mpq_t m)
{ {
mpq_t tr, trinv; // mpq_set_ui(t, ttick, 100);
char buf[100]; // mpq_set_ui(m, mtick, 100); // 414/1000 ~ sqrt(2)-1 <-> s=1
double evs[3]; // s = (1-mpq_get_d(m)*mpq_get_d(m))/(2*mpq_get_d(m));
int retval;
mpq_inits(tr, trinv, NULL); int n = 0;
int nmax = dat.n;
for(int i = 0; i < group->size; i++) { int nuniq;
if(group->elements[i].length % 2 != 0 || !group->elements[i].inverse)
continue;
mat_trace(tr, matrices[i]);
mat_trace(trinv, matrices[group->elements[i].inverse->id]);
retval = solve_characteristic_polynomial(solver, tr, trinv, evs);
if(retval == 1) {
fprintf(stderr, "Error! Could not solve polynomial.\n");
continue;
} else if(retval == 2) {
continue;
}
if(fabs(evs[0]) < fabs(evs[1]))
SWAP(double, evs[0], evs[1]);
if(fabs(evs[1]) < fabs(evs[2]))
SWAP(double, evs[1], evs[2]);
if(fabs(evs[0]) < fabs(evs[1]))
SWAP(double, evs[0], evs[1]);
gmp_printf("%d %d %s %Qd %Qd %f %f\n", i, group->elements[i].length, print_word(&group->elements[i], buf), tr, trinv, log(evs[0]), -log(evs[2]));
}
mpq_clears(tr, trinv, NULL);
}
/*
double max_slope(groupelement_t *group, mat *matrices, mpq_t s, mpq_t t, int *index)
{
double max = 0;
double slope;
mpq_t tr, trinv;
char buf[100];
mpq_inits(tr, trinv, NULL);
for(int i = 0; i < MAX_ELEMENTS; i++) {
if(group[i].length % 2 != 0 || !group[i].inverse)
continue;
mat_trace(tr, matrices[i]);
mat_trace(trinv, matrices[group[i].inverse->id]);
slope = log(mpq_get_d(trinv))/log(mpq_get_d(tr));
if(slope > max)
{
*index = i;
max = slope;
}
}
mpq_clears(tr, trinv, NULL);
return max;
}
*/
int main(int argc, char *argv[])
{
mpq_t m, t, tmp;
double s;
mat *matrices;
group_t *group;
int index;
mps_context *solver;
int acc = 100;
int n, nuniq, nmax;
int retval;
double evs[3];
double max_slope; double max_slope;
char buf[100]; int retval;
char buf2[100]; double evs[3];
struct result *invariants; group_t *group = dat.group;
struct result **distinct_invariants; mat *matrices = dat.matrices;
struct result *invariants = dat.invariants;
struct result **distinct_invariants = dat.distinct_invariants;
mps_context *solver = dat.solver;
clock_gettime(CLOCK_REALTIME, &starttime); // DEBUG("Compute matrices\n");
nmax = atoi(argv[1]);
DEBUG("Allocate\n");
mpq_inits(m, t, tmp, NULL);
matrices = malloc(nmax*sizeof(mat));
for(int i = 0; i < nmax; i++)
mat_init(matrices[i], 3);
invariants = malloc(nmax*sizeof(struct result));
distinct_invariants = malloc(nmax*sizeof(struct result));
for(int i = 0; i < nmax; i++) {
mpq_init(invariants[i].tr);
mpq_init(invariants[i].trinv);
distinct_invariants[i] = &invariants[i];
}
solver = mps_context_new();
mps_context_set_output_prec(solver, 20); // relative precision
mps_context_set_output_goal(solver, MPS_OUTPUT_GOAL_APPROXIMATE);
/*
DEBUG("Approximate parameters\n");
// get approximate s and q values
sapprox = atof(argv[2]);
tapprox = atof(argv[3]);
tqfactor = pow((sapprox*sapprox-sapprox+1)*(sapprox*sapprox-sapprox+1)*(sapprox*sapprox+1), 1/6.0);
qapprox = tapprox/tqfactor;
for(int i = 0; ; i++) {
continued_fraction_approximation(tmp, sapprox, i);
if(fabs(mpq_get_d(t)-sapprox) < 1e-10
|| (mpz_cmpabs_ui(mpq_numref(tmp),acc) > 0 && mpz_cmpabs_ui(mpq_denref(tmp),acc) > 0))
break;
mpq_set(s, tmp);
}
mpq_canonicalize(s);
for(int i = 0; ; i++) {
continued_fraction_approximation(tmp, qapprox, i);
if(fabs(mpq_get_d(t)-qapprox) < 1e-10
|| (mpz_cmpabs_ui(mpq_numref(tmp),acc) > 0 && mpz_cmpabs_ui(mpq_denref(tmp),acc) > 0))
break;
mpq_set(q, tmp);
}
mpq_canonicalize(q);
tqfactor = pow((mpq_get_d(s)*mpq_get_d(s)-mpq_get_d(s)+1)*(mpq_get_d(s)*mpq_get_d(s)-mpq_get_d(s)+1)*(mpq_get_d(s)*mpq_get_d(s)+1), 1/6.0);
#ifdef OUTPUT_POINTS
gmp_fprintf(stdout, "\"s = %Qd = %.3f, q = %Qd, t = %.3f\"\n", s, mpq_get_d(s), q, mpq_get_d(q)*tqfactor);
#endif
*/
// group
DEBUG("Generate group\n");
group = coxeter_init_triangle(4, 4, 4, nmax);
fprintf(stderr, "max word length = %d\n", group->elements[nmax-1].length);
for(int ttick = 45; ttick <= 65; ttick++) {
for(int mtick = 45; mtick < 65; mtick++) {
mpq_set_ui(t, ttick, 100);
mpq_set_ui(m, mtick, 100); // 414/1000 ~ sqrt(2)-1 <-> s=1
s = (1-mpq_get_d(m)*mpq_get_d(m))/(2*mpq_get_d(m));
DEBUG("Compute matrices\n");
enumerate(group, matrices, m, t); enumerate(group, matrices, m, t);
// DEBUG("Compute traces\n");
n = 0; n = 0;
DEBUG("Compute traces\n");
for(int i = 0; i < nmax; i++) { for(int i = 0; i < nmax; i++) {
if(group->elements[i].length % 2 != 0 || !group->elements[i].inverse) if(group->elements[i].length % 2 != 0 || !group->elements[i].inverse)
continue; continue;
@ -441,11 +381,9 @@ int main(int argc, char *argv[])
mat_trace(invariants[i].trinv, matrices[group->elements[i].inverse->id]); mat_trace(invariants[i].trinv, matrices[group->elements[i].inverse->id]);
distinct_invariants[n++] = &invariants[i]; distinct_invariants[n++] = &invariants[i];
// gmp_printf("%Qd %Qd %d %s\n", invariants[i].tr, invariants[i].trinv, i, print_word(&group->elements[i], buf));
} }
DEBUG("Get unique traces\n"); // DEBUG("Get unique traces\n");
qsort(distinct_invariants, n, sizeof(struct result*), compare_result); qsort(distinct_invariants, n, sizeof(struct result*), compare_result);
@ -458,7 +396,7 @@ int main(int argc, char *argv[])
max_slope = 0; max_slope = 0;
int max_slope_index; int max_slope_index;
DEBUG("Solve characteristic polynomials\n"); // DEBUG("Solve characteristic polynomials\n");
for(int i = 0; i < nuniq; i++) { for(int i = 0; i < nuniq; i++) {
retval = solve_characteristic_polynomial(solver, distinct_invariants[i]->tr, distinct_invariants[i]->trinv, evs); retval = solve_characteristic_polynomial(solver, distinct_invariants[i]->tr, distinct_invariants[i]->trinv, evs);
if(retval == 1) { if(retval == 1) {
@ -483,29 +421,222 @@ int main(int argc, char *argv[])
max_slope = y/x; max_slope = y/x;
} }
#ifdef OUTPUT_POINTS // gmp_printf("%Qd %Qd %f %f %f\n", distinct_invariants[i]->tr, distinct_invariants[i]->trinv, x, y, y/x);
gmp_printf("%Qd %Qd %f %f %f\n", distinct_invariants[i]->tr, distinct_invariants[i]->trinv, x, y, y/x);
#endif
} }
#ifdef OUTPUT_SUMMARY return max_slope;
// fprintf(stdout, "%.5f %.5f %.5f %f %s\n", mpq_get_d(t), mpq_get_d(m), s, max_slope, print_word(&group->elements[max_slope_index], buf)); }
fprintf(stdout, "%.5f %.5f %.5f %f %s\n", mpq_get_d(t), mpq_get_d(m), s, max_slope, print_word(&group->elements[max_slope_index], buf));
#endif void write_results_and_end(struct job *jobs, const char *outfile)
{
DEBUG("writing output and shutting down\n");
FILE *f = fopen(outfile, "w");
for(int i = 0; i < NJOBS; i++)
fprintf(f, "%d/%d %d/%d %.10f %.10f %.10f %.3f\n",
jobs[i].tparam, TDIV, jobs[i].mparam, MDIV,
(double)jobs[i].tparam/TDIV, (double)jobs[i].mparam/MDIV, jobs[i].max_slope,
jobs[i].time);
fclose(f);
for(int i = 1; i < world_size; i++)
MPI_Send(NULL, 0, job_datatype, i, JOB_SHUTDOWN, MPI_COMM_WORLD);
}
void run_master_process(int nmax, const char *restart, const char *outfile)
{
int total_jobs = NJOBS;
int completed = 0;
int queue_jobs = MIN(total_jobs, 2*world_size);
struct job current_job;
MPI_Status status;
FILE *f;
int continuing = 1;
int restartf;
struct job *alljobs;
struct job *current;
restartf = open(restart, O_RDWR);
if(restartf == -1 && errno == ENOENT) {
restartf = open(restart, O_RDWR | O_CREAT, 0666);
continuing = 0;
}
if(restartf == -1) {
DEBUG("error opening restart file: %s\n", strerror(errno));
exit(1);
}
ftruncate(restartf, total_jobs*sizeof(struct job));
alljobs = (struct job*) mmap(0, total_jobs*sizeof(struct job), PROT_READ | PROT_WRITE, MAP_SHARED, restartf, 0);
if(alljobs == MAP_FAILED) {
DEBUG("error mapping restart file: %s\n", strerror(errno));
exit(1);
}
if(continuing) {
for(int i = 0; i < total_jobs; i++)
if(alljobs[i].done)
completed++;
} else {
for(int tparam = TFROM; tparam <= TTO; tparam++) {
for(int mparam = MFROM; mparam <= MTO; mparam++) {
alljobs[JOBNR(tparam,mparam)].tparam = tparam;
alljobs[JOBNR(tparam,mparam)].mparam = mparam;
alljobs[JOBNR(tparam,mparam)].done = 0;
}
} }
} }
DEBUG("Clean up\n"); fsync(restartf);
for(int i = 0; i < nmax; i++) {
mpq_clear(invariants[i].tr); if(continuing) {
mpq_clear(invariants[i].trinv); DEBUG("continuing from restart file, %d/%d jobs completed, %d nodes\n", completed, total_jobs, world_size);
} else {
DEBUG("starting from scratch, %d jobs, %d nodes\n", total_jobs, world_size);
} }
free(invariants);
free(distinct_invariants); if(completed >= total_jobs)
for(int i = 0; i < nmax; i++) {
mat_clear(matrices[i]); write_results_and_end(alljobs, outfile);
free(matrices); goto cleanup;
coxeter_clear(group); }
mpq_clears(m, t, tmp, NULL);
mps_context_free(solver); // assign initial jobs
current = alljobs-1;
for(int i = 0; i < 2*world_size; i++) {
do {
current++;
} while(current < alljobs + total_jobs && current->done);
if(current >= alljobs + total_jobs) // all jobs are assigned
break;
MPI_Send(current, 1, job_datatype, 1 + i%(world_size-1), JOB_ORDER, MPI_COMM_WORLD);
}
while(1) {
MPI_Probe(MPI_ANY_SOURCE, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
if(status.MPI_TAG == JOB_RESULT) {
MPI_Recv(&current_job, 1, job_datatype, MPI_ANY_SOURCE, JOB_RESULT, MPI_COMM_WORLD, &status);
completed++;
DEBUG("job (%d,%d) completed by instance %d in %f seconds, result = %.3f, %d/%d done\n",
current_job.tparam, current_job.mparam,
status.MPI_SOURCE, current_job.time, current_job.max_slope, completed, total_jobs);
int nr = JOBNR(current_job.tparam, current_job.mparam);
memcpy(&alljobs[nr], &current_job, sizeof(struct job));
alljobs[nr].done = 1;
if(completed % FLUSH_INTERVAL == 0)
fsync(restartf);
// find the next unassigned job
do {
current++;
} while(current < alljobs + total_jobs && current->done);
if(current < alljobs + total_jobs) {
MPI_Send(current, 1, job_datatype, status.MPI_SOURCE, JOB_ORDER, MPI_COMM_WORLD);
}
if(completed >= total_jobs) {
write_results_and_end(alljobs, outfile);
goto cleanup;
}
}
}
cleanup:
munmap(alljobs, total_jobs*sizeof(struct job));
close(restartf);
}
int main(int argc, char *argv[])
{
int name_len;
MPI_Status status;
mpq_t m, t;
double s;
struct job current_job;
int nmax;
double max_slope;
struct global_data dat;
double jobtime;
clock_gettime(CLOCK_REALTIME, &starttime);
if(argc < 4) {
fprintf(stderr, "Usage: mpirun -n <nr> --hostfile <hostfile> %s <number of elements> <restartfile> <outfile>\n", argv[0]);
return 0;
}
nmax = atoi(argv[1]);
MPI_Init(NULL, NULL);
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
MPI_Get_processor_name(processor_name, &name_len);
// DEBUG("instance %d/%d started on %s\n", world_rank, world_size, processor_name);
int blocklengths[2] = {3, 2};
MPI_Datatype types[2] = {MPI_INT, MPI_DOUBLE};
MPI_Aint displacements[2] = {(size_t)&((struct job*)0)->tparam, (size_t)&((struct job*)0)->max_slope};
MPI_Type_create_struct(2, blocklengths, displacements, types, &job_datatype);
MPI_Type_commit(&job_datatype);
if(world_rank == 0) { // master processor
run_master_process(nmax, argv[2], argv[3]);
MPI_Finalize();
return 0;
}
// DEBUG("Allocate & generate group\n");
mpq_inits(m, t, NULL);
dat = allocate_global_data(nmax);
dat.group = coxeter_init_triangle(4, 4, 4, nmax);
// fprintf(stderr, "max word length = %d\n", dat.group->elements[nmax-1].length);
while(1) {
MPI_Probe(0, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
// MPI_Recv(&current_job, 1, job_datatype, 0, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
if(status.MPI_TAG == JOB_SHUTDOWN) {
// DEBUG("instance %d shutting down\n", world_rank);
break;
}
else if(status.MPI_TAG == JOB_ORDER) {
MPI_Recv(&current_job, 1, job_datatype, 0, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
DEBUG("instance %d starting order (%d,%d)\n", world_rank, current_job.tparam, current_job.mparam);
jobtime = -MPI_Wtime();
// do the actual work
mpq_set_ui(t, current_job.tparam, TDIV);
mpq_set_ui(m, current_job.mparam, MDIV);
s = (1-mpq_get_d(m)*mpq_get_d(m))/(2*mpq_get_d(m));
max_slope = compute_max_slope(dat, t, m);
jobtime += MPI_Wtime();
// fprintf(stdout, "%.5f %.5f %.5f %f\n",
// mpq_get_d(t), mpq_get_d(m), s, max_slope);
current_job.max_slope = max_slope;
current_job.time = jobtime;
DEBUG("instance %d finished order (%d,%d) in %f seconds\n", world_rank, current_job.tparam, current_job.mparam, jobtime);
MPI_Send(&current_job, 1, job_datatype, 0, JOB_RESULT, MPI_COMM_WORLD);
}
}
// DEBUG("Clean up\n");
coxeter_clear(dat.group);
free_global_data(dat);
mpq_clears(m, t, NULL);
MPI_Type_free(&job_datatype);
MPI_Finalize();
} }