Merge pull request '[Л/Р 5] Зиновьева Анна' (#150) from Sentimental_anna/distributed-computing:zinoveva-ad-lab-5 into main
Reviewed-on: http://student.git.athene.tech/v.moiseev/distributed-computing/pulls/150
This commit is contained in:
commit
56ce8f9d1f
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tasks/zinoveva-ad/lab_5/.gitignore
vendored
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tasks/zinoveva-ad/lab_5/.gitignore
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64
tasks/zinoveva-ad/lab_5/README.md
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64
tasks/zinoveva-ad/lab_5/README.md
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@ -0,0 +1,64 @@
|
||||
# Отчет по лабораторной работе №5
|
||||
|
||||
Выполнила студентка гр. ИСЭбд-41 Зиновьева А. Д.
|
||||
|
||||
## Создание приложения
|
||||
|
||||
Было выбрано консольное приложение, язык программирования - c#.
|
||||
|
||||
Обычный алгоритм:
|
||||
|
||||
```cs
|
||||
static int[,] MultiplyMatrices(int[,] matrixA, int[,] matrixB, int size)
|
||||
{
|
||||
int[,] result = new int[size, size];
|
||||
for (int i = 0; i < size; i++)
|
||||
{
|
||||
for (int j = 0; j < size; j++)
|
||||
{
|
||||
result[i, j] = 0;
|
||||
for (int k = 0; k < size; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
```
|
||||
Параллельный алгоритм:
|
||||
|
||||
```cs
|
||||
static int[,] ParallelMultiplyMatrices(int[,] matrixA, int[,] matrixB, int size, int threads)
|
||||
{
|
||||
int[,] result = new int[size, size];
|
||||
Parallel.For(0, size, new ParallelOptions { MaxDegreeOfParallelism = threads }, i =>
|
||||
{
|
||||
for (int j = 0; j < size; j++)
|
||||
{
|
||||
result[i, j] = 0;
|
||||
for (int k = 0; k < size; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
});
|
||||
return result;
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
|
||||
В результате обычный алгоритм выполнился за ``0,0003575`` секунды, а паралелльный за ``0,0193432`` секунды.
|
||||
|
||||
## Бенчмарки
|
||||
|
||||
Протестируем обычный и параллельный алгоритмы на матрицах различных размеров: 100х100, 300х300 и 500х500.
|
||||
|
||||
Количество потоков: ``4``
|
||||
|
||||
|
||||
Количество потоков: ``12``
|
||||
|
||||
|
||||
``Вывод``: Последовательный алгоритм работает быстрее, если количество элементов не слишком большое. Параллельный же алгоритм работает быстрее только при наличии большого количества операций и данных. Оптимальное количество потоков для эффективной работы - 12 (так в сравнении с 4 получилось быстрее).
|
||||
@ -0,0 +1,25 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio Version 17
|
||||
VisualStudioVersion = 17.8.34330.188
|
||||
MinimumVisualStudioVersion = 10.0.40219.1
|
||||
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "ConsoleAppLab5", "ConsoleAppLab5\ConsoleAppLab5.csproj", "{CDFF1AD9-657F-4234-AF85-CC58971BE2F3}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|Any CPU = Debug|Any CPU
|
||||
Release|Any CPU = Release|Any CPU
|
||||
EndGlobalSection
|
||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{CDFF1AD9-657F-4234-AF85-CC58971BE2F3}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
|
||||
{CDFF1AD9-657F-4234-AF85-CC58971BE2F3}.Debug|Any CPU.Build.0 = Debug|Any CPU
|
||||
{CDFF1AD9-657F-4234-AF85-CC58971BE2F3}.Release|Any CPU.ActiveCfg = Release|Any CPU
|
||||
{CDFF1AD9-657F-4234-AF85-CC58971BE2F3}.Release|Any CPU.Build.0 = Release|Any CPU
|
||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
|
||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
GlobalSection(ExtensibilityGlobals) = postSolution
|
||||
SolutionGuid = {5650E7A4-795E-4833-BB0E-0A79A516FD72}
|
||||
EndGlobalSection
|
||||
EndGlobal
|
||||
@ -0,0 +1,10 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net8.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
</PropertyGroup>
|
||||
|
||||
</Project>
|
||||
@ -0,0 +1,219 @@
|
||||
using System;
|
||||
using System.Diagnostics;
|
||||
using System.Threading.Tasks;
|
||||
class Program
|
||||
{
|
||||
static void Main(string[] args)
|
||||
{
|
||||
Console.WriteLine("Выберите задание для выполнения:");
|
||||
Console.WriteLine("1 - Умножение матриц");
|
||||
Console.WriteLine("2 - Бенчмарки");
|
||||
string choice = Console.ReadLine();
|
||||
if (choice == "1")
|
||||
{
|
||||
int threads = GetNumberOfThreads(); // Запрашиваем количество потоков у пользователя
|
||||
int matrixSize = 10; // Размер матрицы
|
||||
int[,] matrixA = GenerateRandomMatrix(matrixSize);
|
||||
int[,] matrixB = GenerateRandomMatrix(matrixSize);
|
||||
|
||||
Console.WriteLine("Выполняется обычное умножение матриц...");
|
||||
Stopwatch stopwatch = Stopwatch.StartNew();
|
||||
int[,] result1 = MultiplyMatrices(matrixA, matrixB, matrixSize);
|
||||
stopwatch.Stop();
|
||||
Console.WriteLine($"Результат (обычное умножение матриц): \n {GetMatrixString(result1)}");
|
||||
Console.WriteLine($"Время выполнения: {stopwatch.Elapsed.TotalSeconds} секунд \n");
|
||||
|
||||
Console.WriteLine("Выполняется параллельное умножение матриц...");
|
||||
stopwatch.Restart();
|
||||
int[,] result2 = ParallelMultiplyMatrices(matrixA, matrixB, matrixSize, threads);
|
||||
stopwatch.Stop();
|
||||
Console.WriteLine($"Результат (параллельное умножение матриц): \n {GetMatrixString(result2)}");
|
||||
Console.WriteLine($"Время выполнения: {stopwatch.Elapsed.TotalSeconds} секунд \n");
|
||||
Console.WriteLine("\nНажмите Enter, чтобы вернуться в главное меню...");
|
||||
Console.ReadLine();
|
||||
}
|
||||
else if (choice == "2")
|
||||
{
|
||||
int threads = GetNumberOfThreads(); // Запрашиваем количество потоков у пользователя
|
||||
Console.WriteLine("\nВыполнение алгоритма на умножение двух матриц размером 100x100:");
|
||||
RunMatrixMultiplicationBenchmark(100, threads);
|
||||
|
||||
Console.WriteLine("\nВыполнение алгоритма на умножение двух матриц размером 300x300:");
|
||||
RunMatrixMultiplicationBenchmark(300, threads);
|
||||
|
||||
Console.WriteLine("\nВыполнение алгоритма на умножение двух матриц размером 500x500:");
|
||||
RunMatrixMultiplicationBenchmark(500, threads);
|
||||
|
||||
Console.ReadLine();
|
||||
}
|
||||
else
|
||||
{
|
||||
Console.WriteLine("Некорректный выбор.");
|
||||
Console.WriteLine("\nНажмите Enter, чтобы вернуться в главное меню...");
|
||||
Console.ReadLine();
|
||||
}
|
||||
Console.ReadLine();
|
||||
}
|
||||
static int[,] GenerateRandomMatrix(int size)
|
||||
{
|
||||
int[,] matrix = new int[size, size];
|
||||
Random random = new Random();
|
||||
for (int i = 0; i < size; i++)
|
||||
{
|
||||
for (int j = 0; j < size; j++)
|
||||
{
|
||||
matrix[i, j] = random.Next(1, 10);
|
||||
}
|
||||
}
|
||||
return matrix;
|
||||
}
|
||||
static int[,] MultiplyMatrices(int[,] matrixA, int[,] matrixB, int size)
|
||||
{
|
||||
int[,] result = new int[size, size];
|
||||
for (int i = 0; i < size; i++)
|
||||
{
|
||||
for (int j = 0; j < size; j++)
|
||||
{
|
||||
result[i, j] = 0;
|
||||
for (int k = 0; k < size; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
static int[,] ParallelMultiplyMatrices(int[,] matrixA, int[,] matrixB, int size, int threads)
|
||||
{
|
||||
int[,] result = new int[size, size];
|
||||
Parallel.For(0, size, new ParallelOptions { MaxDegreeOfParallelism = threads }, i =>
|
||||
{
|
||||
for (int j = 0; j < size; j++)
|
||||
{
|
||||
result[i, j] = 0;
|
||||
for (int k = 0; k < size; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
});
|
||||
return result;
|
||||
}
|
||||
|
||||
static void RunMatrixMultiplicationBenchmark(int size, int threads)
|
||||
{
|
||||
// Создание случайных матриц
|
||||
int[,] matrixA = GenerateRandomMatrix(size);
|
||||
int[,] matrixB = GenerateRandomMatrix(size);
|
||||
|
||||
// Выполнение последовательного алгоритма
|
||||
double sequentialTime = MeasureExecutionTime(() =>
|
||||
{
|
||||
MultiplyMatricesSequential(matrixA, matrixB);
|
||||
});
|
||||
|
||||
Console.WriteLine($"Время выполнения последовательного алгоритма: {sequentialTime} секунд");
|
||||
|
||||
// Выполнение параллельного алгоритма
|
||||
double parallelTime = MeasureExecutionTime(() =>
|
||||
{
|
||||
MultiplyMatricesParallel(matrixA, matrixB, threads);
|
||||
});
|
||||
|
||||
Console.WriteLine($"Время выполнения параллельного алгоритма ({threads} потоков): {parallelTime} секунд");
|
||||
}
|
||||
static double MeasureExecutionTime(Action action)
|
||||
{
|
||||
Stopwatch stopwatch = new Stopwatch();
|
||||
stopwatch.Start();
|
||||
action.Invoke();
|
||||
stopwatch.Stop();
|
||||
|
||||
return stopwatch.Elapsed.TotalSeconds;
|
||||
}
|
||||
|
||||
|
||||
|
||||
static void MultiplyMatricesSequential(int[,] matrixA, int[,] matrixB)
|
||||
{
|
||||
int rowsA = matrixA.GetLength(0);
|
||||
int colsA = matrixA.GetLength(1);
|
||||
int colsB = matrixB.GetLength(1);
|
||||
|
||||
int[,] result = new int[rowsA, colsB];
|
||||
|
||||
for (int i = 0; i < rowsA; i++)
|
||||
{
|
||||
for (int j = 0; j < colsB; j++)
|
||||
{
|
||||
for (int k = 0; k < colsA; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Возвращаем результат умножения матриц
|
||||
// (можно не возвращать, если результат не нужен в дальнейшем)
|
||||
//return result;
|
||||
}
|
||||
|
||||
static void MultiplyMatricesParallel(int[,] matrixA, int[,] matrixB, int threads)
|
||||
{
|
||||
int rowsA = matrixA.GetLength(0);
|
||||
int colsA = matrixA.GetLength(1);
|
||||
int colsB = matrixB.GetLength(1);
|
||||
|
||||
int[,] result = new int[rowsA, colsB];
|
||||
|
||||
Parallel.For(0, rowsA, new ParallelOptions { MaxDegreeOfParallelism = threads }, i =>
|
||||
{
|
||||
for (int j = 0; j < colsB; j++)
|
||||
{
|
||||
for (int k = 0; k < colsA; k++)
|
||||
{
|
||||
result[i, j] += matrixA[i, k] * matrixB[k, j];
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Возвращаем результат умножения матриц
|
||||
// (можно не возвращать, если результат не нужен в дальнейшем)
|
||||
//return result;
|
||||
}
|
||||
|
||||
|
||||
|
||||
//static void BenchmarkMultiplyMatrices(int size, int threads)
|
||||
//{
|
||||
// int[,] matrixA = GenerateRandomMatrix(size);
|
||||
// int[,] matrixB = GenerateRandomMatrix(size);
|
||||
// Console.WriteLine($"Выполняется умножение матриц {size}x{size}");
|
||||
// Stopwatch stopwatch = Stopwatch.StartNew();
|
||||
// MultiplyMatrices(matrixA, matrixB, size);
|
||||
// stopwatch.Stop();
|
||||
// Console.WriteLine($"Время выполнения: {stopwatch.ElapsedMilliseconds} миллисекунд");
|
||||
//}
|
||||
static int GetNumberOfThreads()
|
||||
{
|
||||
int threads = 1;
|
||||
Console.WriteLine("Введите количество потоков:");
|
||||
int.TryParse(Console.ReadLine(), out threads);
|
||||
return threads;
|
||||
}
|
||||
static string GetMatrixString(int[,] matrix)
|
||||
{
|
||||
int rows = matrix.GetLength(0);
|
||||
int columns = matrix.GetLength(1);
|
||||
string matrixString = "";
|
||||
for (int i = 0; i < rows; i++)
|
||||
{
|
||||
for (int j = 0; j < columns; j++)
|
||||
{
|
||||
matrixString += matrix[i, j] + " ";
|
||||
}
|
||||
matrixString += "\n";
|
||||
}
|
||||
return matrixString;
|
||||
}
|
||||
}
|
||||
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_1.jpg
Normal file
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_1.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 114 KiB |
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_2.jpg
Normal file
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_2.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 74 KiB |
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_3.jpg
Normal file
BIN
tasks/zinoveva-ad/lab_5/pic/Screenshot_3.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 74 KiB |
Loading…
Reference in New Issue
Block a user