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Milo Craun
5504-research
Commits
6a53453d
Commit
6a53453d
authored
10 months ago
by
Milo Craun
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README.md
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README.md
benchmarks/matmul.c
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benchmarks/matmul.c
benchmarks/matmul_exe
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benchmarks/matmul_exe
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README.md
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6a53453d
...
...
@@ -121,6 +121,11 @@ We need to go through and see what is going on first.
## Found the samples that could be vectorized on both x86 and Arm
Ran these simulations and put results in res folder.
#2024-04-29 Davis and Milo
##Paper started
We have started the final paper and have decided to look into other benchmarks and cpu configurations.
Davis put a matrix multipy benchmark in the benchmarks folder.
# 2024-04-30 Milo
## Added image processing and results
I added 2 more image processing programs and sim results for them
This diff is collapsed.
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benchmarks/matmul.c
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6a53453d
#include
<stdio.h>
#include
<stdlib.h>
#include
<math.h>
#define num 2000 //matrix size
//#include <valgrind/callgrind.h>
//clock_t start, end;
//double cpu_time_used; //cannot use time.h in syscall emulation mode of GEM5. Must check the time in stats.txt
void
print
(
int
**
printer
,
int
N
){
for
(
int
i
=
0
;
i
<
N
;
i
++
){
printf
(
"["
);
for
(
int
j
=
0
;
j
<
N
;
j
++
){
printf
(
"%d"
,
printer
[
i
][
j
]);
printf
(
" "
);
}
printf
(
"]
\n
"
);
}
}
void
matmul_unopt
(
int
**
mat_A
,
int
**
mat_B
,
int
**
product_unopt
,
int
N
)
{
for
(
int
i
=
0
;
i
<
N
;
i
++
)
{
for
(
int
k
=
0
;
k
<
N
;
k
++
)
{
//#pragma GCC unroll 8
for
(
int
j
=
0
;
j
<
N
;
j
++
)
{
product_unopt
[
i
][
j
]
+=
mat_A
[
i
][
k
]
*
mat_B
[
k
][
j
];
}
}
}
return
;
}
void
matmul_opt
(
int
**
mat_A
,
int
**
mat_B
,
int
**
product_opt
,
int
N
)
{
for
(
int
i
=
0
;
i
<
N
;
i
++
)
{
for
(
int
j
=
0
;
j
<
N
;
j
++
)
{
for
(
int
k
=
0
;
k
<
N
;
k
++
)
product_opt
[
i
][
j
]
+=
mat_A
[
i
][
k
]
*
mat_B
[
k
][
j
];
}
}
return
;
}
void
correctness_test
(
int
**
product_unopt
,
int
**
product_opt
,
int
N
){
int
threshold
=
0
;
//(10^-6), ideally both should be equal but giving this room because of the single precison inting points)
for
(
int
i
=
0
;
i
<
N
;
i
++
)
{
for
(
int
j
=
0
;
j
<
N
;
j
++
)
{
if
(
fabsf
(
fabs
(
product_unopt
[
i
][
j
])
-
fabsf
(
product_opt
[
i
][
j
]))
>
threshold
){
//printf("Optimized implementation is incorrect\n");
return
;
}
}
}
printf
(
"The implementation is correct
\n
"
);
return
;
}
int
main
(
int
argc
,
char
*
argv
[])
{
//srand((unsigned int)time(NULL));
//srand won't work in the SE mode of GEM5. Going to just initialize matrices using iterative variables
//read the size of the square matrix from command line
//if (argc > 1)
//{
// char *a = argv[1];
// num = atoi(a);
//}
//else
//setting matrix size to 64 for now.
// int num = 2000; //default
float
min
=
1
;
float
max
=
100
;
printf
(
"Generating matrices of size %d * %d
\n
"
,
num
,
num
);
int
**
mat_A
=
(
int
**
)
malloc
(
num
*
sizeof
(
int
*
));
int
**
mat_B
=
(
int
**
)
malloc
(
num
*
sizeof
(
int
*
));
int
**
product_unopt
=
(
int
**
)
malloc
(
num
*
sizeof
(
int
*
));
int
**
product_opt
=
(
int
**
)
malloc
(
num
*
sizeof
(
int
*
));
for
(
int
i
=
0
;
i
<
num
;
i
++
){
mat_A
[
i
]
=
(
int
*
)
malloc
(
num
*
sizeof
(
int
));
mat_B
[
i
]
=
(
int
*
)
malloc
(
num
*
sizeof
(
int
));
product_unopt
[
i
]
=
(
int
*
)
malloc
(
num
*
sizeof
(
int
));
product_opt
[
i
]
=
(
int
*
)
malloc
(
num
*
sizeof
(
int
));
}
//
int
putin
;
for
(
int
i
=
0
;
i
<
num
;
i
++
){
for
(
int
j
=
0
;
j
<
num
;
j
++
){
putin
=
((
max
-
min
)
*
((
float
)
rand
()
/
RAND_MAX
))
+
min
;
// printf("%f\n", ((max - min) * ((float)rand() / RAND_MAX)) + min);
// printf("%d\n", putin);
mat_A
[
i
][
j
]
=
putin
;
// printf("%d\n", mat_A[i][j]);
mat_B
[
i
][
j
]
=
((
max
-
min
)
*
((
float
)
rand
()
/
RAND_MAX
))
+
min
;
// mat_A[i][j]= i-j;
// mat_B[i][j]= 1;
product_unopt
[
i
][
j
]
=
0
;
product_opt
[
i
][
j
]
=
0
;
// printf("%d\n", mat_A[i][j]);
}
}
// print(mat_A, num);
// print(mat_B, num);
printf
(
"computing the results
\n
"
);
//compute the product
//TODO: add timers here to measure execution time
// start = clock();
//CALLGRIND_START_INSTRUMENTATION;
matmul_unopt
(
mat_A
,
mat_B
,
product_unopt
,
num
);
//CALLGRIND_STOP_INSTRUMENTATION;
// end = clock();
// cpu_time_used = ((end - start)) / CLOCKS_PER_SEC;
//printf("order i j k took %f seconds to execute \n", cpu_time_used);
//start = clock();
// matmul_opt(mat_A, mat_B, product_unopt, num);
//end = clock();
//cpu_time_used = ((double) (end - start)) / CLOCKS_PER_SEC;
// printf("order j k i took %f seconds to execute \n", cpu_time_used);
//return 0;
//TODO: add timers here to measure execution time
matmul_opt
(
mat_A
,
mat_B
,
product_opt
,
num
);
// printf("matmul unopt: \n");
// print(product_unopt, num);
// printf("matmul opt: \n");
// print(product_opt, num);
correctness_test
(
product_unopt
,
product_opt
,
num
);
// printf("printng result \n");
// for (int i = 0; i < num; i++) {
// for (int j = 0; j < num; j++) {
// printf("%f ", product_opt[i][j]);
// }
// printf("\n");
// }
for
(
int
i
=
0
;
i
<
num
;
i
++
)
{
free
(
mat_A
[
i
]);
free
(
mat_B
[
i
]);
free
(
product_unopt
[
i
]);
//free(product_opt[i]);
}
free
(
mat_A
);
free
(
mat_B
);
free
(
product_unopt
);
//free(product_opt);
return
(
0
);
}
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