This organization is dedicated to the development and advancement of IOWarp, a powerful cutting-edge data management platform designed to streamline and accelerate scientific workflows, especially those intensified by the rise of artificial intelligence (AI). It optimizes data flow throughout the research process, ensuring efficient handling of diverse data types, formats, and the exponential growth of data. IOWarp aims to significantly reduce data access times, accelerate the pace of scientific discovery, and foster a collaborative research environment.

• Open Science: Committed to transparency and reproducibility
• Community-Driven: Built by researchers, for researchers
• Performance: Optimized for high-performance computing environments
• Extensibility: Easily adaptable to various scientific workflows

Here's what you'll find in our repositories:

• Core IOWarp Codebase: Explore the source code, contribute to its development, and report any issues you encounter.
• Example Projects and Use Cases: Discover practical applications of IOWarp across various domains, from material science, bioinformatics and climate modeling to machine learning and data visualization.
• Educational Resources and Tutorials: Learn how to use IOWarp effectively through our documentation and tutorials.
• Community-Driven Extensions and Plugins: Find community-developed tools and extensions that enhance IOWarp's functionality.

• High Performance: IOWarp is optimized for speed and efficiency, enabling rapid processing of large datasets.
• Scalability: Easily scale your workflows from your local machine to high-performance computing clusters.
• User-Friendly Interface: IOWarp provides an intuitive interface for designing and managing complex workflows.
• Extensibility: Customize IOWarp to your specific needs through a flexible plugin system.
• Open Source: IOWarp is freely available under an open-source license, fostering collaboration and innovation.

• 📚 Documentation
• 💻 Quick Start Guide

Here are the key repositories that form the iowarp project:

• Content Assimilation Engine: Responsible for processing, parsing, and normalizing various types of content, preparing it for further transfer and use within the system.
• Jarvis CD: A unified platform for deploying various applications, including storage systems and benchmarks.
• Interprocess Communication (Hermes SHM): This component is crucial for efficient data exchange between different processes. It provides a robust shared memory mechanism.
• IOWarp Runtime: The foundational runtime environment for iowarp applications. It provides the core services and infrastructure necessary for other components to operate.
• Content Transfer Engine: Manages the efficient and reliable transfer of processed content between different parts of the iowarp ecosystem.
• IoWarp MCPs: Provides various Model Context Protocols to bring AI to science.

Join our vibrant community:

• 💬 Community Chat: Real-time discussions and support
• 📋 Issue Tracker: Report bugs and request features