{"id":25666532,"url":"https://github.com/pinedah/escom_high-performance-computing","last_synced_at":"2026-03-02T11:03:04.454Z","repository":{"id":278615048,"uuid":"934390484","full_name":"Pinedah/ESCOM_high-performance-computing","owner":"Pinedah","description":"This repository contains materials, notes, and projects for the High-Performance Computing (HPC) course in the Data Science degree at IPN. It covers the design and implementation of parallel computing, distributed systems, and GRID architectures to build high-performance computing systems. 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The course focuses on designing and implementing high-performance computing systems using **parallel computing, distributed systems, and GRID architectures**.\n\n## 📖 Topics Covered\n1. **High-Performance Computing Architectures**\n   - Types of HPC architectures\n   - Parallel processing systems\n   - Distributed computing systems\n   - GRID computing architectures\n\n2. **Parallel Computing**\n   - Multiprocessors and multicomputers\n   - Interconnection networks\n   - Parallel algorithms\n   - Parallel programming (HPF, OpenMP, PVM, MPI)\n\n3. **Distributed Systems**\n   - System models and architectures\n   - Process communication and concurrency control\n   - Distributed transactions and replication\n   - Fault tolerance and high availability\n\n4. **GRID Computing Architectures**\n   - GRID resources and virtual organizations\n   - GRID computing standards (OGSA, OGSI, OGSA-DAI)\n   - GRID software and tools\n   - Performance metrics and optimization\n\n## 🔧 Prerequisites\nTo follow along with the course materials and projects, ensure you have:\n- Basic knowledge of **computer architecture and parallel computing**\n- Familiarity with **distributed systems and networking**\n- Python and relevant HPC libraries installed (e.g., `mpi4py`, `CUDA`)\n\n## 📂 Repository Structure\n```\n📦 HighPerformanceComputing\n ┣ 📂 datasets                          # Datasets, databases and resources\n ┣ 📂 period1                           # Homework and exercises from Period 1\n ┣ 📂 period2                           # Homework and exercises from Period 2\n ┣ 📂 period3                           # Homework and exercises from Period 3\n ┣ 📂 projects                          # Final projects and case studies\n ┣ 📜 computoAltoDesempeno_LCD2020      # Course overview\n ┣ 📜 README.md                         # This file\n```\n\n## 📚 Recommended Books\n- **\"Distributed Systems: Principles and Paradigms\"** – Tanenbaum \u0026 Van Steen\n- **\"Principles of Parallel Programming\"** – Lin \u0026 Snyder\n- **\"Programming Massively Parallel Processors\"** – Kirk \u0026 Hwu\n- **\"Grid Computing for Developers\"** – Silva\n\n## 💡 How to Contribute\nContributions are welcome! To collaborate:\n1. **Fork** this repository\n2. **Clone** it to your local machine\n3. **Create** a new branch: `git checkout -b feature-name`\n4. **Commit** your changes: `git commit -m 'Added new content'`\n5. **Push** to your fork: `git push origin feature-name`\n6. **Submit a Pull Request**\n\n## 📬 Contact\nIf you have any questions or suggestions, feel free to reach out!\n\n---\n🚀 **Happy coding and high-performance computing!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpinedah%2Fescom_high-performance-computing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpinedah%2Fescom_high-performance-computing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpinedah%2Fescom_high-performance-computing/lists"}