private static void RunSummation()
{
var problems = Enumerable.Range(1, BenchmarkTreeSize).Select(n => TreeGenerator.CreateBinaryTree(n, () => Rnd.Next(int.MinValue, int.MaxValue))).ToArray();
var sumSeq = new McCollinRunner <Tree <int>, int>(TreeSummer.SumLeaves, problems);
var sumFJ = new McCollinRunner <Tree <int>, Task <int> >(TreeSummer.SumLeavesForkJoin, problems);
var sumL = new McCollinRunner <Task <Tree <int> >, Task <int> >(TreeSummer.SumLeavesLenient, problems.Select(t => Task.FromResult(t)).ToArray());
sumSeq.Run(100, m => m.NumberOfLeaves);
sumFJ.Run(100, m => m.NumberOfLeaves);
sumL.Run(100, m => m.Result.NumberOfLeaves);
const string fileName = "summation.csv";
if (File.Exists(fileName))
{
File.Delete(fileName);
}
var f = new StreamWriter(fileName);
f.WriteLine("Problem Size,Sequential,Sequential Error,Fork Join,Fork Join Error,Lenient,Lenient Error");
foreach (var res in sumSeq.Results)
{
var fj = sumFJ.Results[res.Key];
var l = sumL.Results[res.Key];
f.WriteLine($"{res.Key},{res.Value.Mean},{res.Value.StandardDeviation},{fj.Mean},{fj.StandardDeviation},{l.Mean},{l.StandardDeviation}");
}
f.Flush();
f.Close();
}
private static void RunAccumulationRandom()
{
var problems = Enumerable.Range(1, BenchmarkTreeSize)
.Select(n => (int)Math.Pow(2, n))
.Select(s => TreeGenerator.CreateTree(s, () => Rnd.Next(int.MinValue, int.MaxValue)))
.ToArray();
var problemSizes = Enumerable.Range(1, BenchmarkTreeSize).Select(n => (int)Math.Pow(2, n)).ToArray();
var accumSeq = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeaves, problems, problemSizes);
var accumFJ = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeavesForkJoin, problems, problemSizes);
var accumL = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeavesLenient, problems, problemSizes);
accumSeq.Run(100);
accumFJ.Run(100);
accumL.Run(100);
const string fileName = "accumulation-rand.csv";
if (File.Exists(fileName))
{
File.Delete(fileName);
}
var f = new StreamWriter(fileName);
f.WriteLine("Problem Size,Sequential,Sequential Error,Fork Join,Fork Join Error,Lenient,Lenient Error");
foreach (var res in accumSeq.Results)
{
var fj = accumFJ.Results[res.Key];
var l = accumL.Results[res.Key];
f.WriteLine($"{res.Key},{res.Value.Mean},{res.Value.StandardDeviation},{fj.Mean},{fj.StandardDeviation},{l.Mean},{l.StandardDeviation}");
}
f.Flush();
f.Close();
}
