double d[10];
int length = 10;
memset(d, length * sizeof(double), 0);
//or
for (int i = length; i--;)
d[i] = 0.0;
double d[10];
int length = 10;
memset(d, length * sizeof(double), 0);
//or
for (int i = length; i--;)
d[i] = 0.0;
Memset will always be faster, if debug mode or a low level of optimization is used. At higher levels of optimization, it will still be equivalent to std::fill or std::fill_n. For example, for the following code under Google Benchmark: (Test setup: xubuntu 18, GCC 7.3, Clang 6.0)
#include <cstring>
#include <algorithm>
#include <benchmark/benchmark.h>
double total = 0;
static void memory_memset(benchmark::State& state)
{
int ints[50000];
for (auto _ : state)
{
std::memset(ints, 0, sizeof(int) * 50000);
}
for (int counter = 0; counter != 50000; ++counter)
{
total += ints[counter];
}
}
static void memory_filln(benchmark::State& state)
{
int ints[50000];
for (auto _ : state)
{
std::fill_n(ints, 50000, 0);
}
for (int counter = 0; counter != 50000; ++counter)
{
total += ints[counter];
}
}
static void memory_fill(benchmark::State& state)
{
int ints[50000];
for (auto _ : state)
{
std::fill(std::begin(ints), std::end(ints), 0);
}
for (int counter = 0; counter != 50000; ++counter)
{
total += ints[counter];
}
}
// Register the function as a benchmark
BENCHMARK(memory_filln);
BENCHMARK(memory_fill);
BENCHMARK(memory_memset);
int main (int argc, char ** argv)
{
benchmark::Initialize (&argc, argv);
benchmark::RunSpecifiedBenchmarks ();
printf("Total = %f\n", total);
getchar();
return 0;
}
Gives the following results in release mode for GCC (-O2;-march=native):
-----------------------------------------------------
Benchmark Time CPU Iterations
-----------------------------------------------------
memory_filln 16488 ns 16477 ns 42460
memory_fill 16493 ns 16493 ns 42440
memory_memset 8414 ns 8408 ns 83022
-----------------------------------------------------
Benchmark Time CPU Iterations
-----------------------------------------------------
memory_filln 87209 ns 87139 ns 8029
memory_fill 94593 ns 94533 ns 7411
memory_memset 8441 ns 8434 ns 82833
While at -O3 or with clang at -O2, the following is obtained:
-----------------------------------------------------
Benchmark Time CPU Iterations
-----------------------------------------------------
memory_filln 8437 ns 8437 ns 82799
memory_fill 8437 ns 8437 ns 82756
memory_memset 8436 ns 8436 ns 82754
TLDR: use memset unless told you absolutely have to use std::fill or a for-loop, at least for POD types which are not non-IEEE-754 floating-points. There are no strong reasons not to.
(note: the for loops counting the array contents are necessary for clang not to optimize away the google benchmark loops entirely (it will detect they're not used otherwise))
One way of answering this question is to quickly run the code through Compiler Explorer: If you check this link, you'll see assembly for the following code:
void do_memset(std::array<char, 1024>& a) {
memset(&a, 'q', a.size());
}
void do_fill(std::array<char, 1024>& a) {
std::fill(a.begin(), a.end(), 'q');
}
void do_loop(std::array<char, 1024>& a) {
for (int i = 0; i < a.size(); ++i) {
a[i] = 'q';
}
}
The answer (at least for clang) is that with optimization levels -O0 and -O1, the assembly is different and std::fill will be slower because the use of the iterators is not optimized out. For -O2 and higher, do_memset and do_fill produce the same assembly. The loop ends up calling memset on every item in the array even with -O3.
Assuming release builds tend to run -O2 or higher, there are no performance considerations and I'd recommend using std::fill when it's available, and memset for C.