{"id":28318689,"url":"https://github.com/rickcontreras/matrix-multiplication-ipc","last_synced_at":"2026-07-03T15:04:50.744Z","repository":{"id":292536311,"uuid":"981186632","full_name":"RickContreras/matrix-multiplication-ipc","owner":"RickContreras","description":"Efficient matrix multiplication using Inter-Process Communication (IPC). This project combines the power of C, Go, and Python to optimize computational performance. 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🚀 Multiplicación de Matrices Paralela usando Procesos\n\n[![Licencia: MIT](https://img.shields.io/badge/Licencia-MIT-blue.svg)](https://opensource.org/licenses/MIT)\n![C](https://img.shields.io/badge/C-11-00599C?logo=c\u0026logoColor=white)\n![Go](https://img.shields.io/badge/Go-1.18-00ADD8?logo=go\u0026logoColor=white)\n![Python](https://img.shields.io/badge/Python-3.10-3776AB?logo=python\u0026logoColor=white)\n![Linux](https://img.shields.io/badge/Linux-Compatible-FCC624?logo=linux\u0026logoColor=black)\n![GCC](https://img.shields.io/badge/GCC-9.4.0-4EAA25?logo=gnu\u0026logoColor=white)\n![Makefile](https://img.shields.io/badge/Makefile-Automation-064F8C?logo=gnu\u0026logoColor=white)\n![Codespaces](https://img.shields.io/badge/Codespaces-Enabled-blue?logo=github)\n![DevContainer](https://img.shields.io/badge/DevContainer-Enabled-blue?logo=visualstudiocode)\n\nEste proyecto implementa la **multiplicación de matrices** utilizando procesos para paralelizar el cálculo, comparando el rendimiento entre implementaciones secuenciales y paralelas mediante mecanismos de comunicación entre procesos (IPC).\n\n---\n\n## ⚡ Abrir en Codespaces\n\nSi deseas trabajar en este proyecto directamente en un entorno preconfigurado, haz clic en el siguiente botón para abrirlo en **GitHub Codespaces**:\n\n\u003cdiv align=\"center\"\u003e\n\n[![Abrir en Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?template_repository=RickContreras/matrix-multiplication-ipc)\n\n\u003c/div\u003e\n\n---\n\n## 📖 Descripción\n\nLa multiplicación de matrices es una operación computacionalmente intensiva que puede beneficiarse significativamente de la paralelización. Este proyecto divide la operación entre múltiples procesos usando:\n- **`fork()` en C** para paralelismo a nivel de procesos.\n- **Técnicas de paralelismo en Go** para una comparación directa de rendimiento.\n\n---\n\n## 📂 Estructura del Repositorio\n\n```plaintext\nmatrix-multiplication-ipc/\n├── src/             # Código fuente principal\n│   ├── c/           # Implementación en C\n│   └── go/          # Implementación en Go\n├── utils/           # Utilidades y scripts\n├── docs/            # Documentación y reporte\n│   └── imgs/        # Gráficos generados\n├── data/            # Matrices de entrada/salida\n│   ├── input/\n│   └── output/\n├── tests/           # Casos de prueba\n│   └── test_matrices/\n├── .devcontainer/   # Configuración para Codespaces y devcontainer\n├── Makefile         # Archivo para automatización de tareas\n└── README.md        # Este archivo\n```\n\n---\n\n## 🛠️ Requisitos\n\n- **GCC** 9.4.0\n- **Python** 3.10.12\n- **Go** 1.18.1\n- Sistemas **Unix/Linux** o **WSL** para Windows\n\n---\n\n## ⚙️ Configuración Inicial\n\n### 🔹 Crear y Configurar el Entorno de trabajo\n\n1. **Crear y activar el entorno virtual**:\n   ```bash\n   make venv\n   source venv/bin/activate\n   ```\n\n2. **Instalar las dependencias necesarias**:\n   ```bash\n   make install_deps\n   ```\n\n3. **Compila todos los archivos importantes**:\n   ```bash\n   make\n   ```\n\n---\n\n## 🚀 Ejecución del Programa\n\n### 🔹 Para la Implementación en C\n\n1. **Compila el código**:\n   ```bash\n   make c_implementation\n   ```\n\n2. **Ejecuta el programa**:\n   ```bash\n   make run_c\n   ```\n\n\u003e **🔔 Alternativa**:\n\u003e ```bash  \n\u003e ./bin/matrix_mul data/input/A.txt data/input/B.txt 4 data/output/C.txt\n\u003e ```\n\n---\n\n### 🔹 Para la Implementación en Go\n\n#### Opción 1: Ejecutar directamente\n\n   ```bash\n   go run src/go/matrix_mul.go data/input/A.txt data/input/B.txt 4 data/output/C.txt\n   ```\n\n#### Opción 2: Compilar y ejecutar\n\n1. **Compila el código**:\n   ```bash\n   make go_implementation\n   ```\n\n2. **Ejecuta el programa**:\n   ```bash\n   make run_go \n   ```\n\n\n\u003e **🔔 Alternativa**:\n\u003e ```bash  \n\u003e ./bin/matrix_mul_go data/input/A.txt data/input/B.txt 4 data/output/C.txt \n\u003e ```\n\n---\n\n## 🧪 Generación de Matrices de Prueba\n\n1. **Compila el script de generación de matrices**:\n   ```bash\n   gcc -o bin/gen_matrix utils/gen_matrix.c\n   ```\n\n2. **Genera una matriz de prueba**:\n   ```bash\n   ./bin/gen_matrix matrix.txt 10 8 100\n   ```\n   - `matrix.txt`: Archivo de salida que se guardará en `data/generated`.\n   - `10`: Número de filas de la matriz.\n   - `8`: Número de columnas de la matriz.\n   - `100`: Valor máximo para los elementos de la matriz.\n\n---\n\n## 📊 Pruebas de Rendimiento\n\n1. **Ejecuta las pruebas de rendimiento**:\n   ```bash\n   make performance\n   ```\n\n#### Alternativa\n\n```bash\n./utils/performance_test.sh\n```\n\n2. **Genera gráficos a partir de los resultados**:\n   ```bash\n   make graphs\n   ```\n\n\u003e **⚠️ Importante**:\n\u003e * Debes tener instalado los requirements.txt en local o en tu venv.\n\n---\n\n## 🧹 Limpieza\n\n- **Eliminar archivos binarios**:\n  ```bash\n  make clean\n  ```\n\n- **Eliminar todos los datos generados**:\n  ```bash\n  make clean_all\n  ```\n\n---\n\n## 📋 Casos de Prueba\n\nLos casos de prueba se encuentran en la carpeta `tests/test_matrices`. Puedes validar los resultados generados comparándolos con los resultados esperados:\n\n```bash\nmake validate_results\n```\n\n---\n\n## 📜 Licencia\n\nEste proyecto está bajo la licencia **MIT**. Consulta el archivo `LICENSE` para más detalles.\n\n---\n\n## 👨‍💻 Autor\n\nDesarrollado por RickContreras. Si tienes preguntas o sugerencias, no dudes en contactarme.\n\n---\n\n## 🌟 ¡Contribuye!\n\n¿Tienes ideas para mejorar este proyecto? ¡Las contribuciones son bienvenidas! Por favor, abre un **issue** o envía un **pull request**.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickcontreras%2Fmatrix-multiplication-ipc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickcontreras%2Fmatrix-multiplication-ipc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickcontreras%2Fmatrix-multiplication-ipc/lists"}