There are fundamental problems with your approach:
What are you trying to achieve?
If you want to enumerate the permutations of size 10 of a regular alphabet, your program is flawed as it enumerates all combinations of 10 letters from the alphabet. Your program will produce 2610 combinations, a huge number, 141167095653376, 141,167 billion! Ignoring the numbering, which will exceed the range of type int
, that's more than 1.5 Petabytes, unlikely to fit on your storage space. Writing this at the top speed of 100MB/s would take more than 20 days.
The number of permutations, that is combinations of distinct letters from the 26 letter alphabet is not quite as large: 26! / 16! which is still large: 19275223968000, 7 times less than the previous result. That is still more than 212 terabytes of storage and 3 days at 100MB/s.
Storing these permutations is therefore impractical. You could change your program to just count the permutations and measure how long it takes if the count is the expected value. The first step of course is to correct your program to produce the correct set.
Test on smaller sets to verify correctness
Given the expected size of the problem, you should first test for smaller values such as enumerating permutations of 1, 2 and 3 letters to verify that you get the expected number of results.
Once you have correctness, only then focus on performance
Selecting different output methods, from printf("%d %s\n", ++count, prefix);
to ++count; puts(prefix);
to just ++count;
, you will see that most of the time is spent in producing the output. Once you stop producing output, you might see that strlen()
consumes a significant fraction of the execution time, which is useless since you can pass the prefix length from the caller. Further improvements may come from using a common array for the current prefix, precluding the need to copy at each recursive step.
Using multiple threads each producing its own output, for example each with a different initial letter, will not improve the overall time as the bottleneck is the bandwidth of the output device. But if you reduce the program to just enumerate and count the permutations, you might get faster execution with multiple threads, one per core, thereby increasing the CPU usage. But this should be the last step in your development.
Memory use is no measure of performance
Using as much memory as possible is not a goal in itself. Some problems may require a tradeoff between memory and time, where faster solving times are achieved using more core memory, but this one does not. 8MB is actually much more than your program's actual needs: this count includes the full stack space assigned to the program, of which only a tiny fraction will be used.
As a matter of fact, using less memory may improve overall performance as the CPU will make better use of its different caches.
Here is a modified program:
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
static unsigned long long count;
void print_permutations(char arr[], int n, char used[], char prefix[], int pos, int k) {
if (pos == k) {
prefix[k] = '\0';
++count;
//printf("%llu %s\n", count, prefix);
//puts(prefix);
return;
}
for (int i = 0; i < n; i++) {
if (!used[i]) {
used[i] = 1;
prefix[pos] = arr[i];
print_permutations(arr, n, used, prefix, pos + 1, k);
used[i] = 0;
}
}
}
int main(int argc, char *argv[]) {
int n = 26, k = 10;
char arr[27] = "abcdefghijklmnopqrstuvwxyz";
char used[27] = { 0 };
char perm[27];
unsigned long long expected_count;
clock_t start, elapsed;
if (argc >= 2)
k = strtol(argv[1], NULL, 0);
if (argc >= 3)
n = strtol(argv[2], NULL, 0);
start = clock();
print_permutations(arr, n, used, perm, 0, k);
elapsed = clock() - start;
expected_count = 1;
for (int i = n; i > n - k; i--)
expected_count *= i;
printf("%llu permutations, expected %llu, %.0f permutations per second\n",
count, expected_count, count / ((double)elapsed / CLOCKS_PER_SEC));
return 0;
}
Without output, this program enumerates 140 million combinations per second on my slow laptop, it would take 1.5 days to enumerate the 19275223968000 10-letter permutations from the 26-letter alphabet. It uses almost 100% of a single core, but the CPU is still 63% idle as I have a dual core hyper-threaded Intel Core i5 CPU. Using multiple threads should yield increased performance, but the program must be changed to no longer use a global variable count
.