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Use a platform-independent and thread-safe RNG #372

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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -51,6 +51,7 @@ fglm_build_matrixn_nonradical-shape-31
fglm_build_matrixn_radical-shape-31
line_endings_support
neogb_io
neogb_rng
msolve-*.tar.gz
msolve-*/
src/msolve/msolve-version.h
2 changes: 2 additions & 0 deletions Makefile.am
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Expand Up @@ -8,6 +8,7 @@ bin_PROGRAMS = msolve
msolve_SOURCES = src/msolve/main.c

check_PROGRAMS = neogb_io \
neogb_rng \
fglm_build_matrixn_radical-shape-31 \
fglm_build_matrixn_nonradical-shape-31 \
fglm_build_matrixn_nonradical-radicalshape-31 \
Expand Down Expand Up @@ -82,6 +83,7 @@ checkdiff = test/diff/diff_bug-2nd-prime-bad.sh \

# dist_check_DATA = test/input_files
neogb_io_SOURCES = test/neogb/io/validate_input_data.c
neogb_rng_SOURCES = test/neogb/rng/mt19937.c
fglm_build_matrixn_radical_shape_31_SOURCES = test/fglm/build_matrixn_radical-shape-31.c
fglm_build_matrixn_nonradical_shape_31_SOURCES = test/fglm/build_matrixn_nonradical-shape-31.c
fglm_build_matrixn_nonradical_radicalshape_31_SOURCES = test/fglm/build_matrixn_nonradical-radicalshape-31.c
Expand Down
17 changes: 9 additions & 8 deletions src/fglm/fglm_core.c
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Expand Up @@ -29,6 +29,7 @@
#include<time.h>
/* for timing functions */
#include "../neogb/tools.h"
#include "../neogb/rng.h"
#include "../msolve/streams.h"

#ifdef _OPENMP
Expand Down Expand Up @@ -618,8 +619,8 @@ static void generate_matrix_sequence(sp_matfglm_t *matxn, fglm_data_t *data,
Rmat[i] = 0;
}
for(szmat_t i = 0; i < matxn->ncols; i++){
Rmat[i] = (CF_t)rand() % prime;
Rmat[i] += (CF_t)rand() % prime;
Rmat[i] = (CF_t)msolve_rand() % prime;
Rmat[i] += (CF_t)msolve_rand() % prime;
}

/* allocates result matrix (matxn * Rmat) */
Expand Down Expand Up @@ -1150,7 +1151,7 @@ int compute_parametrizations_non_shape_position_case(param_t *param,
if(linvars[nvars - 2 - nc] == 0
&& squvars[nvars - 2 - nc] != 0){

uint64_t lambda= 1 + ((uint64_t) rand() % (prime-1));
uint64_t lambda= 1 + ((uint64_t) msolve_rand() % (prime-1));
/* needed for verification */

invert_table_polynomial (param, data, data_bms, block_size,
Expand Down Expand Up @@ -1257,7 +1258,7 @@ static int compute_parametrizations_colon(param_t *param,
if(linvars[nvars - 2 - nc] == 0
&& squvars[nvars - 2 - nc] != 0){

uint64_t lambda= 1 + ((uint64_t) rand() % (prime-1));
uint64_t lambda= 1 + ((uint64_t) msolve_rand() % (prime-1));
/* needed for verification */

invert_table_polynomial (param, data, data_bms, block_size,
Expand Down Expand Up @@ -1323,9 +1324,9 @@ static inline long initialize_fglm_data(sp_matfglm_t *matrix,
if(matrix->dense_mat[i]==0)
nb++;
}
data->vecinit[0] = 1 + ((CF_t) rand() % (prime-1)); /* random, nonzero */
data->vecinit[0] = 1 + ((CF_t) msolve_rand() % (prime-1)); /* random, nonzero */
for(szmat_t i = 1; i < matrix->ncols; i++){
data->vecinit[i] = (CF_t)rand() % prime;
data->vecinit[i] = (CF_t)msolve_rand() % prime;
}
data->res[0] = data->vecinit[0];
for(szmat_t i = 1; i < block_size; i++){
Expand All @@ -1345,8 +1346,8 @@ static inline long initialize_fglm_colon_data(sp_matfglmcol_t *matrix,
nb++;
}
for(szmat_t i = 0; i < matrix->ncols; i++){
data->vecinit[i] = (CF_t)rand() % prime;
data->vecinit[i] += (CF_t)rand() % prime;
data->vecinit[i] = (CF_t)msolve_rand() % prime;
data->vecinit[i] += (CF_t)msolve_rand() % prime;
/* data->vecinit[i] = (CF_t)(i+1) % prime; */
}
data->res[0] = data->vecinit[0];
Expand Down
6 changes: 3 additions & 3 deletions src/msolve/lifting-gb.c
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Expand Up @@ -1309,9 +1309,9 @@ gb_modpoly_t *core_groebner_qq(
uint32_t primeinit = 0;
uint32_t lprime = 1303905299;

prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
while(fc == 0 && is_lucky_prime_ui(prime, bs)){
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
}

primeinit = prime;
Expand Down Expand Up @@ -1426,7 +1426,7 @@ gb_modpoly_t *core_groebner_qq(


learn = 0;
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
if(info_level){
fprintf(VERBSTREAM, "New prime = %d\n", prime);
}
Expand Down
4 changes: 2 additions & 2 deletions src/msolve/main.c
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Expand Up @@ -543,14 +543,14 @@ int main(int argc, char **argv){
&precision, &refine, &isolate, &generate_pbm,
&seed, &info_level, files);

/* srand initialization */
/* pseudo-random number generator initialization */
uint32_t true_seed;
if (seed < 0) {
true_seed = time(0);
} else {
true_seed = (uint32_t) seed;
}
srand(true_seed);
msolve_srand(true_seed);
if (info_level) {
fprintf (VERBSTREAM,"Initial seed for pseudo-random number generator ");
fprintf (VERBSTREAM,"is %u\n",true_seed);
Expand Down
24 changes: 14 additions & 10 deletions src/msolve/msolve.c
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Expand Up @@ -735,19 +735,19 @@ static int add_random_linear_form_to_input_system(data_gens_ff_t *gens,
if (gens->field_char > 0) {
int j = 0;
for (i = len_old; i < len_new; i++, j++) {
int32_t rdval = ((int8_t)(rand()) % gens->field_char);
int32_t rdval = ((int8_t)(msolve_rand()) % gens->field_char);
while (rdval == 0) {
rdval = ((int8_t)(rand()) % gens->field_char);
rdval = ((int8_t)(msolve_rand()) % gens->field_char);
}
gens->random_linear_form[j] = rdval;
gens->cfs[i] = rdval;
}
} else {
int j = 0;
for (i = len_old; i < len_new; i++, j++) {
int32_t rdval = rand();
int32_t rdval = msolve_rand();
while (rdval == 0) {
rdval = rand();
rdval = msolve_rand();
}
gens->random_linear_form[j] = rdval;
mpz_set_si(*(gens->mpz_cfs[2*i]), rdval);
Expand Down Expand Up @@ -1855,9 +1855,12 @@ static void secondary_modular_steps(sp_matfglm_t **bmatrix,
for(nvars_t i = 0; i < st->nprimes; i++){
bad_primes[i] = 0;
}
const uint32_t rng_base = msolve_rand_u32();
const msolve_rng_t rng_saved = *msolve_rng_current();
#pragma omp parallel for num_threads(nthrds) \
private(i) schedule(static)
for (i = 0; i < st->nprimes; ++i){
msolve_srand(msolve_rng_derive_seed(rng_base, i));
if (trace_det->mat_lifted < 2 || trace_det->lin_lifted < 2) {
bs[i] = core_gba(bs_qq, st, &error, lp->p[i]);
*stf4 = realtime()-rt;
Expand Down Expand Up @@ -1945,6 +1948,7 @@ static void secondary_modular_steps(sp_matfglm_t **bmatrix,
free_basis_and_only_local_hash_table_data(&(bs[i]));
}
}
*msolve_rng_current() = rng_saved;
st->nthrds = nthrds;
}

Expand Down Expand Up @@ -2248,9 +2252,9 @@ int msolve_trace_qq(mpz_param_t *mpz_paramp,
uint32_t lprime = 1303905299;
/* choose next_prime of some random number between 1<<30 and 1303905301 */
/* (roughly, there are ~ 10**7 such primes) */
prime = next_prime(rand() % (1303905301 - (1 << 30) + 1) + (1 << 30));
prime = next_prime(msolve_rand() % (1303905301 - (1 << 30) + 1) + (1 << 30));
while (gens->field_char == 0 && (is_lucky_prime_ui(prime, bs_qq) || is_member(prime, (*binit_primes)))) {
prime = next_prime(rand() % (1303905301 - (1 << 30) + 1) + (1 << 30));
prime = next_prime(msolve_rand() % (1303905301 - (1 << 30) + 1) + (1 << 30));
}
primeinit = prime;
lp->p[0] = primeinit;
Expand Down Expand Up @@ -4840,9 +4844,9 @@ int core_msolve(
trace_t *trace = initialize_trace(bs_qq, st);

uint32_t prime = next_prime(1<<30);
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
while(is_lucky_prime_ui(prime, bs_qq)){
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
}

uint32_t primeinit = prime;
Expand Down Expand Up @@ -5024,9 +5028,9 @@ int core_msolve(
st->tr = trace;

uint32_t prime = next_prime(1<<30);
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
while(is_lucky_prime_ui(prime, bs_qq)){
prime = next_prime(rand() % (1303905301 - (1<<30) + 1) + (1<<30));
prime = next_prime(msolve_rand() % (1303905301 - (1<<30) + 1) + (1<<30));
}

uint32_t primeinit = prime;
Expand Down
6 changes: 5 additions & 1 deletion src/neogb/Makefile.am
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Expand Up @@ -3,7 +3,7 @@ libneogb_la_SOURCES = libneogb.h gb.c
libneogb_ladir = $(includedir)/msolve/neogb
libneogb_la_HEADERS =libneogb.h basis.h data.h engine.h f4.h sba.h hash.h \
io.h modular.h nf.h f4sat.h sort_r.h meta_data.h \
tools.h update.h
tools.h update.h rng.h mt.h
libneogb_la_LDFLAGS = -version-info $(LT_VERSION)
libneogb_la_CFLAGS = $(SIMD_FLAGS) $(CPUEXT_FLAGS) $(OPENMP_CFLAGS) -Wall -Wextra -Wno-unused-parameter -Wno-sign-compare

Expand All @@ -21,6 +21,8 @@ EXTRA_DIST = basis.h \
meta_data.h \
tools.h \
update.h \
rng.h \
mt.h \
basis.c \
convert.c \
data.c \
Expand All @@ -40,4 +42,6 @@ EXTRA_DIST = basis.h \
meta_data.c \
symbol.c \
tools.c \
rng.c \
mt.c \
update.c
2 changes: 2 additions & 0 deletions src/neogb/gb.c
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Expand Up @@ -29,6 +29,8 @@
#include "libneogb.h"
#include "data.c"
#include "meta_data.c"/* computational meta data */
#include "mt.c" /* MT19937 from GSL 1.9 */
#include "rng.c" /* platform independent pseudo-random numbers */
#include "tools.c" /* tools like inversion mod p,
* tracer construction, timings etc. */
#include "sort_r.h" /* special quicksort implementation */
Expand Down
15 changes: 12 additions & 3 deletions src/neogb/la_ff_16.c
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Expand Up @@ -758,6 +758,7 @@ static void probabilistic_sparse_reduced_echelon_form_ff_16(

/* mo need to have any sharing dependencies on parallel computation,
* no data to be synchronized at this step of the linear algebra */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l, m) \
schedule(dynamic)
Expand All @@ -772,14 +773,16 @@ static void probabilistic_sparse_reduced_echelon_form_ff_16(
/* starting column, offset, coefficient array position in tmpcf */
hm_t sc, cfp;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
cfp = bctr + i*rpb;
sc = 0;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() % fc;
mull[j] = (int64_t)msolve_rng_rand(&rng) % fc;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down Expand Up @@ -1657,6 +1660,7 @@ static cf16_t **probabilistic_dense_linear_algebra_ff_16(
(uint64_t)rpb * st->nthrds * sizeof(int64_t));

/* reduction process to get all possible pivots, no interreduction here */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l) shared(nps, tbr) \
schedule(dynamic)
Expand All @@ -1671,14 +1675,16 @@ static cf16_t **probabilistic_dense_linear_algebra_ff_16(
hm_t os;
cf16_t *tmp;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
npc = 0;
os = ncr % UNROLL;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() % fc;
mull[j] = (int64_t)msolve_rng_rand(&rng) % fc;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down Expand Up @@ -1793,6 +1799,7 @@ static cf16_t **probabilistic_sparse_dense_echelon_form_ff_16(
(uint64_t)rpb * st->nthrds * sizeof(int64_t));

/* reduction process to get all possible pivots, no interreduction here */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l, m) shared(nps) \
schedule(dynamic)
Expand All @@ -1806,13 +1813,15 @@ static cf16_t **probabilistic_sparse_dense_echelon_form_ff_16(
cf16_t *tmp;
hm_t npc;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
npc = 0;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() % fc;
mull[j] = (int64_t)msolve_rng_rand(&rng) % fc;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down
15 changes: 12 additions & 3 deletions src/neogb/la_ff_32.c
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Expand Up @@ -2364,6 +2364,7 @@ static void probabilistic_sparse_reduced_echelon_form_ff_32(

/* mo need to have any sharing dependencies on parallel computation,
* no data to be synchronized at this step of the linear algebra */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l, m) \
schedule(dynamic)
Expand All @@ -2378,14 +2379,16 @@ static void probabilistic_sparse_reduced_echelon_form_ff_32(
/* starting column, offset, coefficient array position in tmpcf */
hm_t sc, cfp;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
cfp = bctr + i*rpb;
sc = 0;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() & mask;
mull[j] = (int64_t)msolve_rng_rand(&rng) & mask;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down Expand Up @@ -3583,6 +3586,7 @@ static cf32_t **probabilistic_dense_linear_algebra_ff_32(
(uint64_t)rpb * st->nthrds * sizeof(int64_t));

/* reduction process to get all possible pivots, no interreduction here */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l) shared(nps, tbr) \
schedule(dynamic)
Expand All @@ -3597,14 +3601,16 @@ static cf32_t **probabilistic_dense_linear_algebra_ff_32(
hm_t os;
cf32_t *tmp;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
npc = 0;
os = ncr % UNROLL;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() & mask;
mull[j] = (int64_t)msolve_rng_rand(&rng) & mask;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down Expand Up @@ -3719,6 +3725,7 @@ static cf32_t **probabilistic_sparse_dense_echelon_form_ff_32(
(uint64_t)rpb * st->nthrds * sizeof(int64_t));

/* reduction process to get all possible pivots, no interreduction here */
const uint32_t rng_base = msolve_rand_u32();
#pragma omp parallel for num_threads(st->nthrds) \
private(i, j, k, l, m) shared(nps) \
schedule(dynamic)
Expand All @@ -3732,13 +3739,15 @@ static cf32_t **probabilistic_sparse_dense_echelon_form_ff_32(
cf32_t *tmp;
hm_t npc;
len_t bctr = 0;
msolve_rng_t rng;
msolve_rng_seed(&rng, msolve_rng_derive_seed(rng_base, i));
while (bctr < nrbl) {
npc = 0;

/* fill random value array */
for (j = 0; j < nrbl; ++j) {
do {
mull[j] = (int64_t)rand() % fc;
mull[j] = (int64_t)msolve_rng_rand(&rng) % fc;
} while (mull[j] == 0);
}
/* generate one dense row as random linear combination
Expand Down
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