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The Discovery Cloud is CI Director Ian Foster's vision to deliver powerful computational tools and methods to every professional and amateur scientist around the world, fundamentally transforming the ecosystem of science. Globus is the first step towards realizing this vision.

Researchers frequently rely on large-scale and domain-specific workflows to conduct their science. These workflows may integrate a variety of independent software functions and external applications. However, developing and executing such workflows can be difficult, requiring complex orchestration and management of applications and data as well as customization for specific execution environments. Parsl (Parallel Scripting Library), a Python library for programming and executing data-oriented workflows in parallel, addresses these problems.

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UC3 is an open computing framework for connecting users to shared Distributed High-Throughput Computing (DHTC) resources, both on- and off-campus.

The OpenAD/F project seeks to develop a modular, open-source tool for the automatic generation of adjoint code from Fortran 95 source code. Discrete adjoint computations are used for sensitivity analysis and to provide the gradients used in geophysical state estimation. Because derivatives are needed with respect to millions or billions of independent variables, finite different approximations are impractical: a gradient computation that would take minutes or hours using an adjoint computation would take months or years using finite differences.

XSEDE logo

The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise.

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The Open Science Grid (OSG) advances science through open distributed computing. The OSG is a multi-disciplinary partnership to federate local, regional, community and national cyberinfrastructures to meet the needs of research and academic communities at all scales. The vitual organization stakeholders include communities from high energy physics, gravity wave physics, genomics, brain imaging research, and computer science.

Swift logo

The Swift parallel scripting language enables scientists, engineers, and data analysts to express and coordinate parallel invocations of application programs on distributed and parallel computing platforms: one of the dominant modes of performing computation in science and engineering.

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Nimbus is an open-source toolkit focused on providing Infrastructure-as-a-Service (IaaS) capabilities to the scientific community. Nimbus enables providers of resources to build private or community IaaS clouds, users to use IaaS clouds and developers to extend, experiment and customize IaaS. Combining those tools and capabilities in different ways allows users to rapidly develop custom community-specific solutions.

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Globus Genomics provides flexible, scalable, and easy-to-use services for sequencing analysis. It combines state-of-the-art algorithms with sophisticated data management tools, a powerful graphical workflow environment, and a cloud-based elastic computing infrastructure, to address the challenges that researchers face when dealing with large scale NGS analysis.

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The Globus Toolkit is open-source software for building grids. Its core services, interfaces, and protocols enable federation of distributed computing and storage resources spanning multiple security and administrative domains. With a Globus grid, users can access remote resources seamlessly and securely, while preserving local control.

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Globus Online is software-as-a-service for research data management. It enables researchers to easily and securely move big data and share it with collaborators around the world. As a cloud-hosted service, Globus Online makes it easy for resource owners and system administrators to deliver advanced data management services to their users.

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The OSDC is a petabyte scale science cloud for researchers to manage, analyze and share their data and to get easy access to data from other scientists.