bool test(int threadCount, int iterationCount) {
m_iterationCount = iterationCount;
for (int j = 0; j < SharedArraySize; j++)
m_shared[j] = j;
m_success.storeNonatomic(1);
// FIXME: Make this use turf::extra::JobDispatcher so that the starts are better synchronized.
std::vector<std::thread> threads;
for (int i = 0; i < threadCount; i++)
threads.emplace_back(&RWLockTester::threadFunc, this, i);
for (std::thread& t : threads)
t.join();
return m_success.loadNonatomic() != 0;
}
void threadFunc(int threadNum) {
std::random_device rd;
std::mt19937 randomEngine(rd());
for (int i = 0; i < m_iterationCount; i++) {
// Choose randomly whether to read or write.
if (std::uniform_int_distribution<>(0, 3)(randomEngine) == 0) {
// Write an incrementing sequence of numbers (backwards).
int value = std::uniform_int_distribution<>()(randomEngine);
turf::ExclusiveLockGuard<turf::RWLock> guard(m_rwLock);
for (int j = SharedArraySize - 1; j >= 0; j--) {
m_shared[j] = value--;
}
} else {
// Check that the sequence of numbers is incrementing.
bool ok = true;
{
turf::SharedLockGuard<turf::RWLock> guard(m_rwLock);
int value = m_shared[0];
for (int j = 1; j < SharedArraySize; j++) {
ok = ok && (++value == m_shared[j]);
}
}
if (!ok) {
m_success.store(0, turf::Relaxed);
}
}
}
}
SharedState(MapAdapter& adapter, ureg numThreads, ureg numKeysPerThread, ureg readsPerWrite, ureg itersPerChunk)
: adapter(adapter), map(NULL), numKeysPerThread(numKeysPerThread), numThreads(numThreads), readsPerWrite(readsPerWrite), itersPerChunk(itersPerChunk) {
delayFactor = 0.5f;
doneFlag.storeNonatomic(0);
}
