Welcome to the HPC and Big Data Technologies repository! This repository provides comprehensive resources, installation guides, and configuration instructions for various high-performance computing (HPC) and big data technologies. Whether you're setting up an Apache Spark cluster, configuring InfiniBand networks, or exploring other big data tools, this repository aims to be your go-to resource.

• Apache Spark
• InfiniBand
• Other Technologies
• Installation and Configuration Guides
• Contributing
• License

Apache Spark is an open-source unified analytics engine for large-scale data processing. It provides high performance for both batch and streaming data using a DAG (Directed Acyclic Graph) execution engine.

• Apache Spark Official Website
• Installation Guide
• Configuration and Tuning

InfiniBand is a high-speed, low-latency networking protocol used in HPC environments and enterprise data centers. It provides fast data transfer rates and efficient communication for large-scale systems.

• InfiniBand Official Website
• Subnet Manager Installation and Configuration
• InfiniBand Performance Tuning

This repository also covers various other HPC and big data technologies, including:

• Hadoop: A framework for distributed storage and processing of large datasets.
• Slurm: A job scheduling system for Linux clusters.
• Docker: Containerization platform for deploying applications.

• Hadoop Installation and Configuration
• Slurm Setup Guide
• Docker Containerization

This section provides detailed guides for installing and configuring the technologies mentioned above.

• Apache Spark Installation and Configuration
• InfiniBand Subnet Manager Installation
• Hadoop Installation
• Slurm Configuration
• Docker Setup

We welcome contributions from the community! If you'd like to contribute to this repository, please follow these steps:

1. Fork the repository.
2. Create a new branch for your changes.
3. Commit your changes to the new branch.
4. Open a pull request with a description of the changes.

Please ensure your contributions adhere to the repository's coding standards and include appropriate documentation.

This repository is licensed under the MIT License.

For any questions or issues, please open an issue in the repository or contact us at [email protected].

Thank you for visiting the HPC and Big Data Technologies repository!