ЛР 5 готова.

kuzarin_maxim_lab_5/.gitignore

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+## Ignore Visual Studio temporary files, build results, and
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+# Microsoft Fakes
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+# Cake - Uncomment if you are using it
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+##
+## Visual studio for Mac
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+
+# globs
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+# Thumbnails
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kuzarin_maxim_lab_5/MatrixMultiplication.sln

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+
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 17
+VisualStudioVersion = 17.10.34916.146
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "MatrixMultiplication", "MatrixMultiplication\MatrixMultiplication.csproj", "{EF2DB216-9BCD-4FEE-B9C8-4262A5B7CC30}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{EF2DB216-9BCD-4FEE-B9C8-4262A5B7CC30}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{EF2DB216-9BCD-4FEE-B9C8-4262A5B7CC30}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{EF2DB216-9BCD-4FEE-B9C8-4262A5B7CC30}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{EF2DB216-9BCD-4FEE-B9C8-4262A5B7CC30}.Release|Any CPU.Build.0 = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {619485C2-FE35-496B-9E25-4F5465D0C1A1}
+	EndGlobalSection
+EndGlobal

kuzarin_maxim_lab_5/MatrixMultiplication/MatrixMultiplication.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>
+
+</Project>

kuzarin_maxim_lab_5/MatrixMultiplication/Program.cs

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+
+using System.Diagnostics;
+internal class Program
+{
+    private static string[] _resTableColumnsNames = new string[] { "m*m", "1 t", "2 t", "3 t", "4 t", "5 t", "6 t", "7 t", "8 t" };
+
+    private static void Main(string[] args)
+    {
+        Console.WriteLine(string.Join("\t", _resTableColumnsNames));
+
+        for (int i = 10; i < 10000; i *= 2)
+        {
+            var a = CreateMatrix(i, i);
+            var b = CreateMatrix(i, i);
+
+            List<long> times = new() { i };
+
+            for (int j = 1; j <= 8; j++)
+            {
+                var sw = new Stopwatch();
+                sw.Start();
+
+                MultiplyMatrix(a, b, j);
+
+                sw.Stop();
+                times.Add(sw.ElapsedMilliseconds);
+            }
+            Console.WriteLine(string.Join("\t", times));
+        }
+    }
+
+    /// <summary>
+    /// Создаём матрицу случайных элементов 
+    /// </summary>
+    /// <param name="x"></param>
+    /// <param name="y"></param>
+    /// <returns></returns>
+    private static int[,] CreateMatrix(int x, int y)
+    {
+        var rnd = new Random();
+
+        var res = new int[y, x];
+
+        for (int i = 0; i < y; i++)
+        {
+            for (int j = 0; j < x; j++)
+            {
+                res[i, j] = rnd.Next(0, 100);
+            }
+        }
+        return res;
+    }
+
+    /// <summary>
+    /// Вывести матрицу. Использовался при отладке
+    /// </summary>
+    /// <param name="mx"></param>
+    private static void PrintMatrix(int[,] mx)
+    {
+        for (int i = 0; i < mx.GetLength(0); i++)
+        {
+            for (int j = 0; j < mx.GetLength(1); j++)
+            {
+                Console.Write($"{mx[i, j].ToString("000")}\t");
+            }
+            Console.WriteLine();
+        }
+    }
+
+    /// <summary>
+    /// Непосредственно умножение матриц
+    /// </summary>
+    /// <param name="a"></param>
+    /// <param name="b"></param>
+    /// <param name="maxTask"></param>
+    /// <returns></returns>
+    private static int[,] MultiplyMatrix(int[,] a, int[,] b, int maxTask)
+    {
+        int[,] res = new int[a.GetLength(0), b.GetLength(1)];
+
+        var semaphore = new SemaphoreSlim(maxTask, maxTask);
+
+        for (int i = 0; i < a.GetLength(0); i++)
+        {
+            for (int j = 0; j < b.GetLength(1); j++)
+            {
+                semaphore.Wait();
+                int ci = i;
+                int cj = j;
+                _ = Task.Run(() =>
+                {
+                    try
+                    {
+                        res[ci, cj] = CalculateElement(a, b, ci, cj);
+                    }
+                    finally
+                    {
+                        semaphore.Release();
+                    }
+                });
+            }
+        }
+        semaphore.Wait(maxTask);
+        return res;
+    }
+
+    /// <summary>
+    /// Вычисление значение одного элемента 
+    /// </summary>
+    /// <param name="a"></param>
+    /// <param name="b"></param>
+    /// <param name="i"></param>
+    /// <param name="j"></param>
+    /// <returns></returns>
+    private static int CalculateElement(int[,] a, int[,] b, int i, int j)
+            => Enumerable.Range(0, a.GetLength(1)).Sum(k => a[i, k] * b[k, j]);
+}

kuzarin_maxim_lab_5/README.md

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+# Лабораторная работа 5
+Данная работа посвящена параллельному умножению больших матриц (чтобы это был побыстрее)
+## Описание
+Основной принцип умножения матриц: строки умножаются на столбцы, таким образом получаются элементы. И так как значения в строках/столбцах не меняется по ходу алгоритма, его достаточно легко можно распаралелить. 
+
+## Запуск
+Приложение представлет собой консольную программу на C#, которую можно скомпилировать и затем запустит exe файл. В результате в окне консоли появится таблица сравнения времени умножения 2-х квадратных матриц (размер указан в первой колонке) с использованием разного числа потоков(от 1 до 8). Чем больше размер, тем дольше будет идти расчёт.
+## Результаты
+Результаты одного из запусков программы представлены ниже.
+<br/>
+![Resout](Images/Resouts.png)
+<br/>
+Как можно заметить, на небольших размерах распаралеливание не приносит никакого выигрыша, а иногда даже удлиняет время работы. Это связана с тем, что работы с потоками (запуск, получение результата и т. п.) - требует дополнительного времени, а из-за малого числа операций в целом, получаем не прирост производительности, а её падение.
+Противоположно обстоят дела в случае с большими матрицами. Так как там расчётов значительно больше, распаралеливание начинает значительно ускорять вычисление результата. Причём, часто можно видеть, что, например, увеличения числа потоков с 1 до 2 (в 2 раза) сокращает время в 2 раза. Но чем больше потоков, тем прирост меньше (так как вновь вступают в силу факторы, описанные ранее). И прирост производительности пусть и есть, но он очень небольшой. 
+
+## Видеодемонстрация
+Был записан видеоролик, демонстрирующий процесс запуска и работы системы. Он расположен по [адресу](https://drive.google.com/file/d/1dhA3JUAhhpDUh32xVW7jMuW1BKDX02eV/view?usp=sharing)
+
+
+