Globus

UChicago Scientists Receive Grant to Expand Global Data Management Platform, Globus

Over a Decade of Research Data Management Innovation Enables Scientific Breakthroughs

Initially launched as a service to connect researchers and make large-scale data transfer accessible to any researcher with an internet connection and a laptop, it has grown to become an essential service to over 160,000 researchers around the world. 

Users in 80 countries have moved over two exabytes of data and 100 billion files, and the service has evolved into a platform that enables universities, national laboratories, government facilities, and commercial organizations to securely manage data throughout the research lifecycle.

Globus has been instrumental in enabling many scientific breakthroughs that have literally changed the world.

 

 

General Atomics: Higher Fidelity Plasma Reconstructions and Particle Tracking Across Facilities for DIII-D

The DIII-D National Fusion Facility is a U.S. Department of Energy user facility that is discovering and optimizing key science and technology solutions for fusion energy commercialization. The program is leveraging the power of Globus to streamline and automate their analysis pipelines, significantly enhancing the efficiency and responsiveness of their research workflows.

Ptychography with Ptychodus and Globus

Ptychography stands out as an advanced imaging technique for its ability to provide high-resolution characterization of a sample’s structure. However, the complexity of managing data from multiple beamlines across different facilities can pose significant challenges. Enter Ptychodus and Globus, a powerful combination that has been utilized as a common set of tools for multi-site ptychography workflows

OpenCosmo Data and Analysis Portal

The OpenCosmo Data and Analysis Portal aims to simplify cosmology research by providing a central hub for interacting with large-scale simulation datasets. Currently under active development, the portal allows users to run data queries, visualize preliminary results directly in their browsers, and run predefined computationally demanding analyses by using Globus Flows to run tasks across resources at high-performance computing (HPC) facilities.

Preparing for the next pandemic with OSPREY

In this interview by HPCwire Dr. Valerie Hayot-Sasson, a postdoctoral scholar at the University of Chicago, and Dr. Jonathan Ozik, a principal computational scientist at Argonne National Laboratory, discuss  the development of OSPREY, a new automated platform for epidemiological analyses.

Globus Named in Multiple HPCwire Readers' and Editors' Choice Awards

Globus has been recognized in the 21st edition of HPCwire awards alongside other contributing organizations for contributions in the following achievements:

Editors’ Choice: Best Use of HPC in the Physical Sciences

Readers’ Choice: Best HPC in the Cloud (use case)

Editors’ Choice: Best HPC Response to a Societal Plight

 

 

Resilient X-ray Photon Correlation Spectroscopy with Facility Failover

The recently upgraded Advanced Photon Source (APS) is set to revolutionize X-ray science, enabling unprecedented levels of brightness and coherence for probing materials at the atomic scale. However, with great power comes great responsibility—specifically, the need for reliable, on-demand high-performance computing (HPC) resources to handle the massive data collection rates and dynamically guide experiments in real time.  The Globus-based approach uses Globus Flows to automate the processing of XPCS data as it is collected. 

 

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