mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-08-14 04:35:57 +08:00
Fix SparseLU special gemm kernel on 32 bits system w/o SSE
This commit is contained in:
parent
ee36eaefc6
commit
73026eab4d
@ -29,12 +29,13 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
|
||||
typedef typename packet_traits<Scalar>::type Packet;
|
||||
enum {
|
||||
NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
|
||||
PacketSize = packet_traits<Scalar>::size,
|
||||
PM = 8, // peeling in M
|
||||
RN = 2, // register blocking
|
||||
RK = 4, // register blocking
|
||||
BM = 4096/sizeof(Scalar), // number of rows of A-C per chunk
|
||||
SM = PM*PacketSize // step along M
|
||||
PM = 8, // peeling in M
|
||||
RN = 2, // register blocking
|
||||
RK = NumberOfRegisters>=16 ? 4 : 2, // register blocking
|
||||
BM = 4096/sizeof(Scalar), // number of rows of A-C per chunk
|
||||
SM = PM*PacketSize // step along M
|
||||
};
|
||||
int d_end = (d/RK)*RK; // number of columns of A (rows of B) suitable for full register blocking
|
||||
int n_end = (n/RN)*RN; // number of columns of B-C suitable for processing RN columns at once
|
||||
@ -71,14 +72,14 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
|
||||
// load and expand a RN x RK block of B
|
||||
Packet b00, b10, b20, b30, b01, b11, b21, b31;
|
||||
b00 = pset1<Packet>(Bc0[0]);
|
||||
b10 = pset1<Packet>(Bc0[1]);
|
||||
b20 = pset1<Packet>(Bc0[2]);
|
||||
b30 = pset1<Packet>(Bc0[3]);
|
||||
b01 = pset1<Packet>(Bc1[0]);
|
||||
b11 = pset1<Packet>(Bc1[1]);
|
||||
b21 = pset1<Packet>(Bc1[2]);
|
||||
b31 = pset1<Packet>(Bc1[3]);
|
||||
b00 = pset1<Packet>(Bc0[0]);
|
||||
b10 = pset1<Packet>(Bc0[1]);
|
||||
if(RK==4) b20 = pset1<Packet>(Bc0[2]);
|
||||
if(RK==4) b30 = pset1<Packet>(Bc0[3]);
|
||||
b01 = pset1<Packet>(Bc1[0]);
|
||||
b11 = pset1<Packet>(Bc1[1]);
|
||||
if(RK==4) b21 = pset1<Packet>(Bc1[2]);
|
||||
if(RK==4) b31 = pset1<Packet>(Bc1[3]);
|
||||
|
||||
Packet a0, a1, a2, a3, c0, c1, t0, t1;
|
||||
|
||||
@ -90,46 +91,46 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
Scalar* C0 = C+ib+(j+0)*ldc;
|
||||
Scalar* C1 = C+ib+(j+1)*ldc;
|
||||
|
||||
a0 = pload<Packet>(A0);
|
||||
a1 = pload<Packet>(A1);
|
||||
a2 = pload<Packet>(A2);
|
||||
a3 = pload<Packet>(A3);
|
||||
a0 = pload<Packet>(A0);
|
||||
a1 = pload<Packet>(A1);
|
||||
if(RK==4) a2 = pload<Packet>(A2);
|
||||
if(RK==4) a3 = pload<Packet>(A3);
|
||||
|
||||
#define KMADD(c, a, b, tmp) tmp = b; tmp = pmul(a,tmp); c = padd(c,tmp);
|
||||
#define WORK(I) \
|
||||
c0 = pload<Packet>(C0+i+(I)*PacketSize); \
|
||||
c1 = pload<Packet>(C1+i+(I)*PacketSize); \
|
||||
KMADD(c0, a0, b00, t0); \
|
||||
KMADD(c1, a0, b01, t1); \
|
||||
a0 = pload<Packet>(A0+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a1, b10, t0); \
|
||||
KMADD(c1, a1, b11, t1); \
|
||||
a1 = pload<Packet>(A1+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a2, b20, t0); \
|
||||
KMADD(c1, a2, b21, t1); \
|
||||
a2 = pload<Packet>(A2+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a3, b30, t0); \
|
||||
KMADD(c1, a3, b31, t1); \
|
||||
a3 = pload<Packet>(A3+i+(I+1)*PacketSize); \
|
||||
pstore(C0+i+(I)*PacketSize, c0); \
|
||||
pstore(C1+i+(I)*PacketSize, c1)
|
||||
c0 = pload<Packet>(C0+i+(I)*PacketSize); \
|
||||
c1 = pload<Packet>(C1+i+(I)*PacketSize); \
|
||||
KMADD(c0, a0, b00, t0); \
|
||||
KMADD(c1, a0, b01, t1); \
|
||||
a0 = pload<Packet>(A0+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a1, b10, t0); \
|
||||
KMADD(c1, a1, b11, t1); \
|
||||
a1 = pload<Packet>(A1+i+(I+1)*PacketSize); \
|
||||
if(RK==4) KMADD(c0, a2, b20, t0); \
|
||||
if(RK==4) KMADD(c1, a2, b21, t1); \
|
||||
if(RK==4) a2 = pload<Packet>(A2+i+(I+1)*PacketSize); \
|
||||
if(RK==4) KMADD(c0, a3, b30, t0); \
|
||||
if(RK==4) KMADD(c1, a3, b31, t1); \
|
||||
if(RK==4) a3 = pload<Packet>(A3+i+(I+1)*PacketSize); \
|
||||
pstore(C0+i+(I)*PacketSize, c0); \
|
||||
pstore(C1+i+(I)*PacketSize, c1)
|
||||
|
||||
// process rows of A' - C' with aggressive vectorization and peeling
|
||||
for(int i=0; i<actual_b_end1; i+=PacketSize*8)
|
||||
{
|
||||
EIGEN_ASM_COMMENT("SPARSELU_GEMML_KERNEL1");
|
||||
_mm_prefetch((const char*)(A0+i+(5)*PacketSize), _MM_HINT_T0);
|
||||
_mm_prefetch((const char*)(A1+i+(5)*PacketSize), _MM_HINT_T0);
|
||||
_mm_prefetch((const char*)(A2+i+(5)*PacketSize), _MM_HINT_T0);
|
||||
_mm_prefetch((const char*)(A3+i+(5)*PacketSize), _MM_HINT_T0);
|
||||
WORK(0);
|
||||
WORK(1);
|
||||
WORK(2);
|
||||
WORK(3);
|
||||
WORK(4);
|
||||
WORK(5);
|
||||
WORK(6);
|
||||
WORK(7);
|
||||
prefetch((A0+i+(5)*PacketSize));
|
||||
prefetch((A1+i+(5)*PacketSize));
|
||||
if(RK==4) prefetch((A2+i+(5)*PacketSize));
|
||||
if(RK==4) prefetch((A3+i+(5)*PacketSize));
|
||||
WORK(0);
|
||||
WORK(1);
|
||||
WORK(2);
|
||||
WORK(3);
|
||||
WORK(4);
|
||||
WORK(5);
|
||||
WORK(6);
|
||||
WORK(7);
|
||||
}
|
||||
// process the remaining rows with vectorization only
|
||||
for(int i=actual_b_end1; i<actual_b_end2; i+=PacketSize)
|
||||
@ -139,8 +140,16 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
// process the remaining rows without vectorization
|
||||
for(int i=actual_b_end2; i<actual_b; ++i)
|
||||
{
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
|
||||
C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1]+A2[i]*Bc1[2]+A3[i]*Bc1[3];
|
||||
if(RK==4)
|
||||
{
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
|
||||
C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1]+A2[i]*Bc1[2]+A3[i]*Bc1[3];
|
||||
}
|
||||
else
|
||||
{
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
|
||||
C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1];
|
||||
}
|
||||
}
|
||||
|
||||
Bc0 += RK;
|
||||
@ -156,12 +165,12 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
for(int k=0; k<d_end; k+=RK)
|
||||
{
|
||||
|
||||
// load and expand a RN x RK block of B
|
||||
// load and expand a 1 x RK block of B
|
||||
Packet b00, b10, b20, b30;
|
||||
b00 = pset1<Packet>(Bc0[0]);
|
||||
b10 = pset1<Packet>(Bc0[1]);
|
||||
b20 = pset1<Packet>(Bc0[2]);
|
||||
b30 = pset1<Packet>(Bc0[3]);
|
||||
b00 = pset1<Packet>(Bc0[0]);
|
||||
b10 = pset1<Packet>(Bc0[1]);
|
||||
if(RK==4) b20 = pset1<Packet>(Bc0[2]);
|
||||
if(RK==4) b30 = pset1<Packet>(Bc0[3]);
|
||||
|
||||
Packet a0, a1, a2, a3, c0, t0/*, t1*/;
|
||||
|
||||
@ -172,22 +181,22 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
|
||||
Scalar* C0 = C+ib+(n_end)*ldc;
|
||||
|
||||
a0 = pload<Packet>(A0);
|
||||
a1 = pload<Packet>(A1);
|
||||
a2 = pload<Packet>(A2);
|
||||
a3 = pload<Packet>(A3);
|
||||
a0 = pload<Packet>(A0);
|
||||
a1 = pload<Packet>(A1);
|
||||
if(RK==4) a2 = pload<Packet>(A2);
|
||||
if(RK==4) a3 = pload<Packet>(A3);
|
||||
|
||||
#define WORK(I) \
|
||||
c0 = pload<Packet>(C0+i+(I)*PacketSize); \
|
||||
KMADD(c0, a0, b00, t0); \
|
||||
a0 = pload<Packet>(A0+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a1, b10, t0); \
|
||||
a1 = pload<Packet>(A1+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a2, b20, t0); \
|
||||
a2 = pload<Packet>(A2+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a3, b30, t0); \
|
||||
a3 = pload<Packet>(A3+i+(I+1)*PacketSize); \
|
||||
pstore(C0+i+(I)*PacketSize, c0);
|
||||
c0 = pload<Packet>(C0+i+(I)*PacketSize); \
|
||||
KMADD(c0, a0, b00, t0); \
|
||||
a0 = pload<Packet>(A0+i+(I+1)*PacketSize); \
|
||||
KMADD(c0, a1, b10, t0); \
|
||||
a1 = pload<Packet>(A1+i+(I+1)*PacketSize); \
|
||||
if(RK==4) KMADD(c0, a2, b20, t0); \
|
||||
if(RK==4) a2 = pload<Packet>(A2+i+(I+1)*PacketSize); \
|
||||
if(RK==4) KMADD(c0, a3, b30, t0); \
|
||||
if(RK==4) a3 = pload<Packet>(A3+i+(I+1)*PacketSize); \
|
||||
pstore(C0+i+(I)*PacketSize, c0);
|
||||
|
||||
// agressive vectorization and peeling
|
||||
for(int i=0; i<actual_b_end1; i+=PacketSize*8)
|
||||
@ -210,7 +219,10 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
// remaining scalars
|
||||
for(int i=actual_b_end2; i<actual_b; ++i)
|
||||
{
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
|
||||
if(RK==4)
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
|
||||
else
|
||||
C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
|
||||
}
|
||||
|
||||
Bc0 += RK;
|
||||
@ -224,9 +236,12 @@ void sparselu_gemm(int m, int n, int d, const Scalar* A, int lda, const Scalar*
|
||||
{
|
||||
for(int j=0; j<n; ++j)
|
||||
{
|
||||
typedef Map<Matrix<Scalar,Dynamic,1>, Aligned > MapVector;
|
||||
typedef Map<const Matrix<Scalar,Dynamic,1>, Aligned > ConstMapVector;
|
||||
if(rd==1) MapVector (C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b);
|
||||
enum {
|
||||
Alignment = PacketSize>1 ? Aligned : 0
|
||||
};
|
||||
typedef Map<Matrix<Scalar,Dynamic,1>, Alignment > MapVector;
|
||||
typedef Map<const Matrix<Scalar,Dynamic,1>, Alignment > ConstMapVector;
|
||||
if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b);
|
||||
|
||||
else if(rd==2) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b)
|
||||
+ B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b);
|
||||
|
Loading…
x
Reference in New Issue
Block a user