digitalmars.D - static arrays.
- Dave (12/12) Jan 29 2007 Static ("rectangular") multi-dim arrays can perform pretty well - until ...
Static ("rectangular") multi-dim arrays can perform pretty well - until you
start passing them
around as function parameters.
Two ways to get around that would be to wrap the arrays with a UDT passed
byref, or use ptr params,
with ptr's being much more intuitive for most applications of static arrays
(IMO).
Attached is a matrix multiplication program ported to D from the original
Shootout Delphi version (*).
The Delphi program has much cleaner syntax. For example, D pointer param
dereferencing would be
(*m1)[a][b] = (*m2)[c][d] * (*m3)[e][f] .
For me this begs the question: Why aren't D static arrays passed byref (**)?
(*) http://dada.perl.it/shootout/matrix_allsrc.html
(**) static array params cannot be 'inout'.
Thanks,
- Dave
Jan 29 2007
Whoops - I should have made it clear that the programs perform roughly the same
(D being about 10%
faster), but only if the static matrices are passed byref (using pointer
params) in D.
For Delphi, static arrays are passed byref.
Dave wrote:
Static ("rectangular") multi-dim arrays can perform pretty well - until
you start passing them around as function parameters.
Two ways to get around that would be to wrap the arrays with a UDT
passed byref, or use ptr params, with ptr's being much more intuitive
for most applications of static arrays (IMO).
Attached is a matrix multiplication program ported to D from the
original Shootout Delphi version (*).
The Delphi program has much cleaner syntax. For example, D pointer param
dereferencing would be (*m1)[a][b] = (*m2)[c][d] * (*m3)[e][f] .
For me this begs the question: Why aren't D static arrays passed byref
(**)?
(*) http://dada.perl.it/shootout/matrix_allsrc.html
(**) static array params cannot be 'inout'.
Thanks,
- Dave
------------------------------------------------------------------------
module matrix;
import std.conv, std.stdio;
void main(char[][] args)
{
int NUM = args.length > 1 ? toInt(args[1]) : 1;
TMatrix M1, M2, MM;
mkmatrix(SIZE, SIZE, &M1);
mkmatrix(SIZE, SIZE, &M2);
for(int i = 0; i < NUM; i++)
mmult(SIZE, SIZE, &M1, &M2, &MM);
writefln(MM[0][0]," ",MM[2][3]," ",MM[3][2]," ",MM[4][4]);
}
const SIZE = 30;
typedef int[SIZE][SIZE] TMatrix;
void mkmatrix(int rows, int cols, TMatrix* mx)
{
int count = 1;
for(int R = 0; R < rows; R++)
for(int C = 0; C < cols; C++)
{
(*mx)[R][C] = count;
count++;
}
}
void mmult(int rows, int cols, TMatrix* m1, TMatrix* m2, TMatrix* mm)
{
for(int i = 0; i < rows; i++)
for(int j = 0; j < cols; j++)
{
int val = 0;
for(int k = 0; k < cols; k++)
val += (*m1)[i][k] * (*m2)[k][j];
(*mm)[i][j] = val;
}
}
Jan 30 2007
Dave wrote:Whoops - I should have made it clear that the programs perform roughly the same (D being about 10% faster), but only if the static matrices are passed byref (using pointer params) in D.I'm not sure what you mean. Static arrays in D are passed as the address of the first element. They are compatible with C arrays, at least in this respect. So the speedup has to be caused by something else.
Jan 31 2007
torhu wrote:Dave wrote:Thanks - you're right. I think I made a bad assumption based on a botched comparison. Looking at it again, the following performs just as well. When I 'ported' it the first time from Delphi Pascal, I most likely had a typo in the original D code (?) module matrix2; import std.conv, std.stdio; void main(char[][] args) { int NUM = args.length > 1 ? toInt(args[1]) : 1; TMatrix M1, M2, MM; mkmatrix(SIZE, SIZE, M1); mkmatrix(SIZE, SIZE, M2); for(int i = 0; i < NUM; i++) mmult(SIZE, SIZE, M1, M2, MM); writefln(MM[0][0]," ",MM[2][3]," ",MM[3][2]," ",MM[4][4]); } const SIZE = 30; typedef int[SIZE][SIZE] TMatrix; void mkmatrix(int rows, int cols, TMatrix mx) { int count = 1; for(int R = 0; R < rows; R++) for(int C = 0; C < cols; C++) { mx[R][C] = count; count++; } } void mmult(int rows, int cols, TMatrix m1, TMatrix m2, TMatrix mm) { for(int i = 0; i < rows; i++) for(int j = 0; j < cols; j++) { int val = 0; for(int k = 0; k < cols; k++) val += m1[i][k] * m2[k][j]; mm[i][j] = val; } }Whoops - I should have made it clear that the programs perform roughly the same (D being about 10% faster), but only if the static matrices are passed byref (using pointer params) in D.I'm not sure what you mean. Static arrays in D are passed as the address of the first element. They are compatible with C arrays, at least in this respect. So the speedup has to be caused by something else.
Jan 31 2007








Dave <Dave_member pathlink.com>