Merge pull request '[Л/Р 5] Миронов Евгений' (#53) from MironovEvgeniy/distributed-computing:mironov-eo-lab-5 into main

Reviewed-on: http://student.git.athene.tech/v.moiseev/distributed-computing/pulls/53

tasks/mironov-eo/lab_5/.gitignore

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tasks/mironov-eo/lab_5/ConsoleApp1/ConsoleApp1.sln

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+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.8.34322.80
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "ConsoleApp1", "ConsoleApp1\ConsoleApp1.csproj", "{8EE37F82-A2D1-49A3-B4D0-7BF7D4A43CB0}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{8EE37F82-A2D1-49A3-B4D0-7BF7D4A43CB0}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{8EE37F82-A2D1-49A3-B4D0-7BF7D4A43CB0}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{8EE37F82-A2D1-49A3-B4D0-7BF7D4A43CB0}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{8EE37F82-A2D1-49A3-B4D0-7BF7D4A43CB0}.Release|Any CPU.Build.0 = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {720A247E-1C5E-46BF-93FA-4F3FE606A15D}
+	EndGlobalSection
+EndGlobal

tasks/mironov-eo/lab_5/ConsoleApp1/ConsoleApp1/ConsoleApp1.csproj

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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net8.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="BenchmarkDotNet" Version="0.13.11" />
+  </ItemGroup>
+
+</Project>

tasks/mironov-eo/lab_5/ConsoleApp1/ConsoleApp1/MatrixHelper.cs

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+using System;
+using System.Collections.Concurrent;
+using System.Collections.Generic;
+using System.Linq;
+using System.Text;
+using System.Threading.Tasks;
+
+namespace ConsoleApp1
+{
+    public class MatrixHelper
+    {
+
+        static readonly Random rand = new Random();
+
+        public int[,] RandomGenerateMatrix(int dimensionsCount)
+        {
+            int[,] result = new int[dimensionsCount, dimensionsCount];
+            for (int i = 0; i < dimensionsCount; i++)
+            {
+                for (int j = 0; j < dimensionsCount; j++)
+                {
+                    result[i, j] = rand.Next(10000);
+                }
+            }
+            return result;
+        }
+        public int[][] MultiplicationMatrix(int[,] firstMatrix, int[,] secondMatrix, int threadCount = 1)
+        {
+            var resultMatrix = new ConcurrentDictionary<int, int>[firstMatrix.GetLength(0)]
+                .Select(x => new ConcurrentDictionary<int, int>())
+                .ToArray();
+
+            for (int i = 0; i < firstMatrix.GetLength(0); i++)
+            {
+                Parallel.For(0, secondMatrix.GetLength(1), new ParallelOptions()
+                {
+                    MaxDegreeOfParallelism = threadCount
+                }, 
+                (j) =>
+                {
+
+                    for (int k = 0; k < secondMatrix.GetLength(0); k++)
+                    {
+                        resultMatrix[i].AddOrUpdate(
+                            j,
+                            firstMatrix[i, k] * secondMatrix[k, j], 
+                            (key, value) => value + firstMatrix[i, k] * secondMatrix[k, j]);
+                    }
+                });
+            }
+
+            return resultMatrix
+                .Select(x => x.Values.ToArray())
+                .ToArray();
+        }
+    }
+}

tasks/mironov-eo/lab_5/ConsoleApp1/ConsoleApp1/Program.cs

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+// See https://aka.ms/new-console-template for more information
+
+using BenchmarkDotNet.Attributes;
+using BenchmarkDotNet.Running;
+using ConsoleApp1;
+
+BenchmarkRunner.Run<MatrixTest>();
+
+
+[MemoryDiagnoser]
+public class MatrixTest
+{
+
+    int[,] firstMatrix10;
+    int[,] secondMatrix10;
+
+    int[,] firstMatrix100;
+    int[,] secondMatrix100;
+
+    int[,] firstMatrix1000;
+    int[,] secondMatrix1000;
+    
+
+    MatrixHelper matrixHelper;
+
+
+    public MatrixTest()
+    {
+        matrixHelper = new MatrixHelper();
+
+        firstMatrix10 = matrixHelper.RandomGenerateMatrix(10);
+        secondMatrix10 = matrixHelper.RandomGenerateMatrix(10);
+
+        firstMatrix100 = matrixHelper.RandomGenerateMatrix(100);
+        secondMatrix100 = matrixHelper.RandomGenerateMatrix(100);
+        
+        firstMatrix1000 = matrixHelper.RandomGenerateMatrix(1000);
+        secondMatrix1000 = matrixHelper.RandomGenerateMatrix(1000);
+
+    }
+    [Benchmark]
+    public int[][] MultiplicationMatrix100Tread1()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix100, secondMatrix100, 1);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix100Tread5()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix100, secondMatrix100, 5);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix100Tread15()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix100, secondMatrix100, 15);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix1000Tread1()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix1000, secondMatrix1000, 1);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix1000Tread5()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix1000, secondMatrix1000, 5);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix1000Tread15()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix1000, secondMatrix1000, 15);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix10Tread1()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix10, secondMatrix10, 1);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix10Tread5()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix10, secondMatrix10, 5);
+    }
+
+    [Benchmark]
+    public int[][] MultiplicationMatrix10Tread15()
+    {
+        return matrixHelper.MultiplicationMatrix(firstMatrix10, secondMatrix10, 15);
+    }
+}

tasks/mironov-eo/lab_5/README.md

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+# Отчет по лабораторной работе №5
+
+Выполнил студент гр. ИСЭбд-41 Миронов Е.О.
+
+## Создание приложения
+
+Выбрал язык C#, Консольное приложение.
+
+Проверяю правильность работы алгоритма 
+
+```c#
+    public int[][] MultiplicationMatrix(int[,] firstMatrix, int[,] secondMatrix, int threadCount = 1)
+    {
+        var resultMatrix = new ConcurrentDictionary<int, int>[firstMatrix.GetLength(0)]
+            .Select(x => new ConcurrentDictionary<int, int>())
+            .ToArray();
+
+        for (int i = 0; i < firstMatrix.GetLength(0); i++)
+        {
+            Parallel.For(0, secondMatrix.GetLength(1), new ParallelOptions()
+            {
+                MaxDegreeOfParallelism = threadCount
+            }, 
+            (j) =>
+            {
+
+                for (int k = 0; k < secondMatrix.GetLength(0); k++)
+                {
+                    resultMatrix[i].AddOrUpdate(
+                        j,
+                        firstMatrix[i, k] * secondMatrix[k, j], 
+                        (key, value) => value + firstMatrix[i, k] * secondMatrix[k, j]);
+                }
+            });
+        }
+
+        return resultMatrix
+            .Select(x => x.Values.ToArray())
+            .ToArray();
+    }
+```
+
+![](pic/1.png)
+
+
+
+## Бенчмарки
+
+Делаю 9 пробных запусков
+Матрицы 10х10, 100х100, 1000х1000
+Количество потоков 1,5,15
+
+![](pic/2.png)
+
+
+Предполагал что 15 потоков хватит, чтобы показать что бывает когда кол-во потоков в приложении больше кол-ва потоков в процессоре. 
+
+Однако этого не произошло, поэтому запускаю следующий тест на 55 потоков
+
+![](pic/3.png)
+
+Наблюдаем увелечение времени обработки. Это связано с с затратами на переключение контекста, синхронизацию потоков и т.п.
+
+
+Вывод: Параллельный алгоритм работает быстрее чем однопоточный в случае если ресурсы процесора это позволяют. 
+В случае указания слишком большого числа потоков параллелльный алгоритм будет работать чуть медленее из-за накладных расходов на переключение контекста синхронизации и т.д.