public void run_benchmark_cpu_mt()
{
log.Add("running the Mersenne Twister benchmark on the CPU");
int nscen_per_batch = 4096 * 25;
int nbatches = 2000;
int nth = Environment.ProcessorCount;
OPModel.Types.CRangen.mtinit(nth);
float[] host_unif_scen_th = new float[nscen_per_batch * nth];
OPModel.Types.CJobQueue Queue = new OPModel.Types.CJobQueue();
object[] p_b = new object[nbatches];
for (int b = 0; b < nbatches; b++)
{
host_d_mc_mt_func_input input = new host_d_mc_mt_func_input();
input.nth = nth;
input.batch = b;
input.nscen_per_batch = nscen_per_batch;
input.host_unif_scen_th = host_unif_scen_th;
p_b[b] = input;
}
CStopWatch sw = new CStopWatch();
sw.Reset();
Queue.Exec(host_d_mc_mt_func, null, p_b, nth);
double time = sw.Peek();
double nevals = (double)nbatches * (double)nscen_per_batch;
double milion_evals_per_second = nevals / (1000000 * time);
if (benchmarks == null) benchmarks = new SBenchmarks();
benchmarks.cpu_mt_performance = milion_evals_per_second;
log.Add("mt performance: " + String.Format("{0:0.0}", milion_evals_per_second) + " milion eval/sec");
host_unif_scen_th = null;
System.GC.Collect();
}
public void host_d_mc_run1f(double[] payoff_a, CMCEvaluator Evaluator)
{
OPModel.Types.CJobQueue Queue = new OPModel.Types.CJobQueue();
object[] p_b = new object[mcplan._nbatches];
for (int b = 0; b < mcplan._nbatches; b++)
{
host_d_mc_run1f_func_input input = new host_d_mc_run1f_func_input();
input.batch = b;
input.Evaluator = Evaluator;
p_b[b] = input;
}
Queue.Exec(host_d_mc_run1f_func, null, p_b, mcplan.nth);
}