/* $OpenXM: OpenXM_contrib2/asir2000/lib/dmul,v 1.1 1999/12/27 04:16:32 noro Exp $ */
#define MAX(a,b) ((a)>(b)?(a):(b))
#define MIN(a,b) ((a)>(b)?(b):(a))
/* CAUTION: functions in this file are experimental. */
/*
return: F1*F2
if option 'proc' is supplied as a list of server id's,
F1*F2 is calculated by distributed computation.
*/
def d_mul(F1,F2)
{
Procs = getopt(proc);
if ( type(Procs) == -1 )
Procs = [];
NP = length(Procs)+1;
V =var(F1);
D1 = deg(F1,V);
D2 = deg(F2,V);
Dmin = MIN(D1,D2);
Dfft = p_mag(D1+D2+1)+1;
Bound = maxblen(F1)+maxblen(F2)+p_mag(Dmin)+1;
Marray = newvect(NP);
MIarray = newvect(NP);
for ( I = 0; I < NP; I++ ) {
Marray[I] = 1;
MIarray[I] = [];
}
for ( M = 1, I = 0, J = 0; p_mag(M) <= Bound; J = (J+1)%NP ) {
T = get_next_fft_prime(I,Dfft);
if ( !T )
error("fft_mul_d : fft_prime exhausted.");
Marray[J] *= T[1];
MIarray[J] = cons(T[0],MIarray[J]);
M *= T[1];
I = T[0]+1;
}
/* Now,
Marray[J] = FFTprime[Marray[J][0]]*...*FFTprime[Marray[J][...]]
M = Marray[0]*...*Marray[NP-1]
*/
C = newvect(NP);
T0 = time();
for ( J = 0; J < NP-1; J++ )
ox_cmo_rpc(Procs[J],"call_umul",F1,F2,MIarray[J],Marray[J],M);
T1 = time();
R = call_umul(F1,F2,MIarray[NP-1],Marray[NP-1],M);
T2 = time();
for ( J = 0; J < NP-1; J++ )
R += ox_pop_cmo(Procs[J]);
T3 = time();
print(["send",T1[3]-T0[3],"self",T2[3]-T1[3],"recv",T3[3]-T2[3]]);
return R%M;
}
/*
return: F1^2
if option 'proc' is supplied as a list of server id's,
F1^2 is calculated by distributed computation.
*/
def d_square(F1)
{
Procs = getopt(proc);
if ( type(Procs) == -1 )
Procs = [];
NP = length(Procs)+1;
V =var(F1);
D1 = deg(F1,V);
Dfft = p_mag(2*D1+1)+1;
Bound = 2*maxblen(F1)+p_mag(D1)+1;
Marray = newvect(NP);
MIarray = newvect(NP);
for ( I = 0; I < NP; I++ ) {
Marray[I] = 1;
MIarray[I] = [];
}
for ( M = 1, I = 0, J = 0; p_mag(M) <= Bound; J = (J+1)%NP ) {
T = get_next_fft_prime(I,Dfft);
if ( !T )
error("fft_mul_d : fft_prime exhausted.");
Marray[J] *= T[1];
MIarray[J] = cons(T[0],MIarray[J]);
M *= T[1];
I = T[0]+1;
}
/* Now,
Marray[J] = FFTprime[Marray[J][0]]*...*FFTprime[Marray[J][...]]
M = Marray[0]*...*Marray[NP-1]
*/
C = newvect(NP);
T0 = time();
for ( J = 0; J < NP-1; J++ )
ox_cmo_rpc(Procs[J],"call_usquare",F1,MIarray[J],Marray[J],M);
T1 = time();
R = call_usquare(F1,MIarray[NP-1],Marray[NP-1],M);
T2 = time();
for ( J = 0; J < NP-1; J++ )
R += ox_pop_cmo(Procs[J]);
T3 = time();
print(["send",T1[3]-T0[3],"self",T2[3]-T1[3],"recv",T3[3]-T2[3]]);
return R%M;
}
/*
return: F1^2 mod V^(D+1)
if option 'proc' is supplied as a list of server id's,
F1*F2 mod V^(D+1) is calculated by distributed computation.
*/
def d_tmul(F1,F2,D)
{
Procs = getopt(proc);
if ( type(Procs) == -1 )
Procs = [];
NP = length(Procs)+1;
V =var(F1);
D1 = deg(F1,V);
D2 = deg(F2,V);
Dmin = MIN(D1,D2);
Dfft = p_mag(D1+D2+1)+1;
Bound = maxblen(F1)+maxblen(F2)+p_mag(Dmin)+1;
Marray = newvect(NP);
MIarray = newvect(NP);
for ( I = 0; I < NP; I++ ) {
Marray[I] = 1;
MIarray[I] = [];
}
for ( M = 1, I = 0, J = 0; p_mag(M) <= Bound; J = (J+1)%NP ) {
T = get_next_fft_prime(I,Dfft);
if ( !T )
error("fft_mul_d : fft_prime exhausted.");
Marray[J] *= T[1];
MIarray[J] = cons(T[0],MIarray[J]);
M *= T[1];
I = T[0]+1;
}
/* Now,
Marray[J] = FFTprime[Marray[J][0]]*...*FFTprime[Marray[J][...]]
M = Marray[0]*...*Marray[NP-1]
*/
C = newvect(NP);
T0 = time();
for ( J = 0; J < NP-1; J++ )
ox_cmo_rpc(Procs[J],"call_utmul",F1,F2,D,MIarray[J],Marray[J],M);
T1 = time();
R = call_utmul(F1,F2,D,MIarray[NP-1],Marray[NP-1],M);
T2 = time();
for ( J = 0; J < NP-1; J++ )
R += ox_pop_cmo(Procs[J]);
T3 = time();
print(["send",T1[3]-T0[3],"self",T2[3]-T1[3],"recv",T3[3]-T2[3]]);
return R%M;
}
def call_umul(F1,F2,Ind,M1,M)
{
C = umul_specialmod(F1,F2,Ind);
Mhat = idiv(M,M1);
MhatInv = inv(Mhat,M1);
return (MhatInv*Mhat)*C;
}
def call_usquare(F1,Ind,M1,M)
{
C = usquare_specialmod(F1,Ind);
Mhat = idiv(M,M1);
MhatInv = inv(Mhat,M1);
return (MhatInv*Mhat)*C;
}
def call_utmul(F1,F2,D,Ind,M1,M)
{
C = utmul_specialmod(F1,F2,D,Ind);
Mhat = idiv(M,M1);
MhatInv = inv(Mhat,M1);
return (MhatInv*Mhat)*C;
}
end$