private static void RunLinpackRandom()
{
var problems = Enumerable.Range(1, 12).Select(n => (int)Math.Pow(2, n)).Select(s => MatrixSummer.Setup(s)).ToArray();
var problemSizes = Enumerable.Range(1, 12).Select(n => (int)Math.Pow(2, n)).ToArray();
var linpackSeq = new MorellRunner <long[, ], long>(MatrixSummer.SumSeq, problems, problemSizes);
var linpackMR = new MorellRunner <long[, ], long>(MatrixSummer.SumMapReduce, problems, problemSizes);
var linpackP = new MorellRunner <long[, ], long>(MatrixSummer.SumParallel, problems, problemSizes);
var linpackT = new MorellRunner <long[, ], Task <long> >(MatrixSummer.SumTask, problems, problemSizes);
linpackSeq.Run(100);
linpackMR.Run(100);
linpackP.Run(100);
linpackT.Run(100);
const string fileName = "linpack-rand.csv";
if (File.Exists(fileName))
{
File.Delete(fileName);
}
var f = new StreamWriter(fileName);
f.WriteLine("Problem Size,Sequential,Sequential Error,Map Reduce,Map Reduce Error,Parallel Foreach,Parallel Foreach Error, Tasks, Tasks Error");
foreach (var res in linpackSeq.Results)
{
var mr = linpackMR.Results[res.Key];
var p = linpackP.Results[res.Key];
var t = linpackT.Results[res.Key];
f.WriteLine($"{res.Key},{res.Value.Mean},{res.Value.StandardDeviation},{mr.Mean},{mr.StandardDeviation},{p.Mean},{p.StandardDeviation},{t.Mean},{t.StandardDeviation}");
}
f.Flush();
f.Close();
}
private static void RunAccumulationRandom()
{
var problems = Enumerable.Range(1, BenchmarkTreeSize)
.Select(n => (int)Math.Pow(2, n))
.Select(s => TreeGenerator.CreateTree(s, () => Rnd.Next(int.MinValue, int.MaxValue)))
.ToArray();
var problemSizes = Enumerable.Range(1, BenchmarkTreeSize).Select(n => (int)Math.Pow(2, n)).ToArray();
var accumSeq = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeaves, problems, problemSizes);
var accumFJ = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeavesForkJoin, problems, problemSizes);
var accumL = new MorellRunner <Tree <int>, List <int> >(TreeAccumulator.AccumulateLeavesLenient, problems, problemSizes);
accumSeq.Run(100);
accumFJ.Run(100);
accumL.Run(100);
const string fileName = "accumulation-rand.csv";
if (File.Exists(fileName))
{
File.Delete(fileName);
}
var f = new StreamWriter(fileName);
f.WriteLine("Problem Size,Sequential,Sequential Error,Fork Join,Fork Join Error,Lenient,Lenient Error");
foreach (var res in accumSeq.Results)
{
var fj = accumFJ.Results[res.Key];
var l = accumL.Results[res.Key];
f.WriteLine($"{res.Key},{res.Value.Mean},{res.Value.StandardDeviation},{fj.Mean},{fj.StandardDeviation},{l.Mean},{l.StandardDeviation}");
}
f.Flush();
f.Close();
}