Question
I have a super-fast M.2 drive, but my application is not able to utilize this speed when writing and reading large amounts of data. Is it possible to have truly asynchronous file IO in C++ to take full advantage of the drive’s advertised gigabytes per second? If so, how can this be done in a cross-platform way? Alternatively, can you recommend a library that is suitable for this task?
Below is a code snippet that illustrates how I am doing file IO in my program.
#include <fstream>
#include <thread>
#include <memory>
#include <string>
#include <Windows.h> // for SetThreadAffinityMask()
void stress_write(unsigned bytes, int num)
{
std::ofstream out("temp" + std::to_string(num));
for (unsigned i = 0; i < bytes; ++i)
{
out << char(i);
}
}
void lock_thread(unsigned core_idx)
{
SetThreadAffinityMask(GetCurrentThread(), 1LL << core_idx);
}
int main()
{
std::ios_base::sync_with_stdio(false);
lock_thread(0);
auto worker_count = std::thread::hardware_concurrency() - 1;
std::unique_ptr<std::thread[]> threads = std::make_unique<std::thread[]>(worker_count); // faster than std::vector
for (int i = 0; i < worker_count; ++i)
{
threads[i] = std::thread(
[](unsigned idx) {
lock_thread(idx);
stress_write(1'000'000'000, idx);
},
i + 1
);
}
stress_write(1'000'000'000, 0);
for (int i = 0; i < worker_count; ++i)
{
threads[i].join();
}
}
My current implementation uses 100% CPU, but only 7-9% disk (around 190MB/s). Is there a way to increase this speed?