Argonne National Laboratory

Science Highlights

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Overcoming the Power Wall

Researchers at Argonne National Laboratory, Rice University, and the École Polytechnique Fédérale de Lausanne developed a model capable of measuring the energy gains with all three IEEE-compliant precisions on COTS processors – double, single, and half.

February 24, 2017
Rescuing the Stranded!

Researchers at Argonne National Laboratory, the University of Chicago, the University of Wisconsin – Madison are focusing on a particular type of dispatchable load: intermittent, or cloud-based, computing resources. Such resources can be turned on or shut down according to stranded power availability

January 24, 2017
New environmental testbed uses Waggle sensor nodes

Researchers from Argonne National Laboratory and Northwestern University are collaborating on a project to instrument, monitor, and model ecosystem services provided by the Indian Boundary Prairies (IBP) in Markham, Illinois.

January 4, 2017
The importance of being flexible

A team of researchers from Argonne National Laboratory, Arizona State University, and the University of Chicago developed a two-stage framework to evaluate the benefits of battery storage in power systems with renewable resources.

December 5, 2016
MG-RAST version 4.0 released

The new version of the metagenomics analysis server MG-RAST was released November 15, 2016. metagenomics analysis server MG-RAST was released November 15, 2016. The release followed an open beta testing period and feedback from numerous users.

MG-RAST is an open-source automated system for processing metagenome sequence data, which then can be used for analyses ranging from phylogenetic profiling and comparisons to functional annotations and metabolic reconstructions. To date, MG-RAST has processed more than 265,000 data sets for more than 20,000 users.

Indeed, many of the new features of MG-RAST 4.0 are designed specifically to make life easier for the users. For example, instead of having to wait for the results of each parameter change, the user can now download the complete abundance profiles of selected datasets, where the data can be filtered quickly. The new myData page is equally helpful. With it, the user can view running jobs, completed studies, and news; link to a more detailed view; and quickly search for a particular dataset. And the new version of metaZen will give the user direct feedback and input help when creating metadata spreadsheets.

“We’re especially proud of the redesigned metagenome analysis page,” said Folker Meyer, a senior computational scientist in the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory and founder of the MG-RAST project. He noted that all the user’s data now has provenance information, as well as multiple download options including the images and the data used to produce them. Moreover, all the technical details of the data progression through the MG-RAST pipeline are provided on the processing receipt page.

“This version of MG-RAST is built around a RESTful API and is deployed as a set of interacting containers” said Andreas Wilke, a fellow researcher in the MCS Division at Argonne. He pointed out the use of containers in the workflow component of MG-RAST that allows hitherto unknown performance and flexibility. “It is this newfound flexibility that enables a series of additional workflows that will add additional capabilities,” he said.

The new server was announced on the web at is available at

December 5, 2016
MCS Division researchers awarded INCITE supercomputing time

Two researchers in the Mathematics and Computer Science Division at Argonne National Laboratory will participate in computational research projects involving advanced simulation and analysis on the U.S. Department of Energy leadership-class computers.

November 29, 2016
Cappello named a fellow of the IEEE

Franck Cappello, a senior computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, has been named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).

November 23, 2016
Argonne/University of Chicago team wins workshop best paper at SC2016

A team of researchers from Argonne National Laboratory and the University of Chicago has received a best paper award at Supercomputing 2016 in Salt Lake City, Utah. SC is the premier international conference on high-performance computing, networking, storage, and analysis.

November 23, 2016
Argonne’s Ian Foster to lead new exascale co-design center

The Co-Design Center for Online Data Analysis and Reduction at the Exascale was named today as one of four co-design centers to be funded by the U.S. Department of Energy’s Exascale Computing Project.

November 16, 2016
It takes increasingly powerful computing resources to perform more and more complex simulations of nuclear reactor fuel assemblies. This image shows the coolant-flow pressure distribution in a 217-pin wire-wrapped subassembly. (Image by Paul Fischer)
Exascale Computing Project announces $48 million to establish four exascale co-design centers

DOE’s Exascale Computing Project is announcing it has selected four co-design centers as part of a 4-year $48 million funding award, including one to be led by Argonne.

November 11, 2016