public void doRun() {
GammaTxnLong ref = new GammaTxnLong(stm);
// FatArrayTreeGammaTxn tx = new FatArrayTreeGammaTxn(stm);
// FatArrayGammaTxn tx = new FatArrayGammaTxn(stm,1);
FatMonoGammaTxn tx =
new FatMonoGammaTxn(
new GammaTxnConfig(stm)
.setReadLockMode(LockMode.Exclusive)
.setDirtyCheckEnabled(false));
long startMs = System.currentTimeMillis();
for (long k = 0; k < transactionCount; k++) {
ref.openForWrite(tx, LOCKMODE_EXCLUSIVE).long_value++;
tx.commit();
tx.hardReset();
// if (k % 100000000 == 0 && k > 0) {
// System.out.printf("%s is at %s\n", getName(), k);
// }
}
assertEquals(transactionCount, ref.atomicGet());
durationMs = System.currentTimeMillis() - startMs;
System.out.printf("Multiverse> %s is finished in %s ms\n", getName(), durationMs);
}
public void start(long transactionCount) {
int[] processors = generateProcessorRange();
System.out.printf("Multiverse> Uncontended update lean-transaction benchmark\n");
System.out.printf("Multiverse> 1 GammaTxnRef per transaction\n");
System.out.printf("Multiverse> %s Transactions per thread\n", format(transactionCount));
System.out.printf(
"Multiverse> Running with the following processor range %s\n", Arrays.toString(processors));
Result[] result = new Result[processors.length];
System.out.println("Multiverse> Starting warmup run");
test(1, transactionCount);
System.out.println("Multiverse> Finished warmup run");
long startNs = System.nanoTime();
for (int k = 0; k < processors.length; k++) {
int processorCount = processors[k];
double performance = test(processorCount, transactionCount);
result[k] = new Result(processorCount, performance);
}
long durationNs = System.nanoTime() - startNs;
System.out.printf(
"Multiverse> Benchmark took %s seconds\n", TimeUnit.NANOSECONDS.toSeconds(durationNs));
toGnuplot(result);
}
