Science Highlights

Date Postedsort ascending
Hybrid approach to failure prediction for advanced computing systems

“Fault tolerance is no longer an option but a necessity,” states Franck Cappello, project manager of research on resilience at the extreme scale at Argonne National Laboratory.

January 8, 2014
MCS and ALCF establish joint lab for evaluating computing platforms

A new Joint Laboratory for System Evaluation (JLSE) has been established at Argonne aimed at evaluating future high-performance computing platforms.

January 3, 2014
Tracing the behavior of parallel applications on extreme-scale systems

Event-tracing tools have proved vital for understanding how parallel applications behave. But new challenges make the use of event tracing on extreme-scale machines problematic.

January 3, 2014
Hurricane generated within a 12 km global resolution simulation of the DOE/NSF Community Atmosphere Model
New international partnership to prepare for emerging simulation platforms

Argonne National Laboratory, in partnership with the public research institute for computational science Inria, the University of Illinois at Urbana-Champaign (UIUC), and the French National Center

December 20, 2013
New initiative on runtime compatibility for MPI implementations

Researchers at Argonne National Laboratory have established an initiative to tackle the problem of maintaining runtime compatibility between message passing interface (MPI) implementations on high-

December 3, 2013
MCS Division researchers awarded INCITE supercomputing time

Three researchers in the Mathematics and Computer Science Division at Argonne lead projects that have been awarded a total of 285 million hours of computing time on the U.S.

November 21, 2013
The Remarkable Career of a Pioneering Computational Scientist

Two MCS Division members have published an article in SIAM News about Margaret Butler, a pioneering computational scientist.

November 5, 2013
MCS researcher presents tutorial on scientific visualization of flow field data

Flow visualization has long been an area of research, but the rapidly increasing size and complexity of flow field data have raised many new challenges.

November 5, 2013
Clearing up concerns about cloud computing and genomics research

Genomics researchers, who produce enormous amounts of data thanks to new DNA sequencing technology, have begun to recognize the potential benefits of moving to the cloud. At the same time, cloud computing raises some concerns.

November 5, 2013
Clearing up some concerns about cloud computing and genomics research

Cloud computing has become a popular option for scientists wanting on-demand access to increased capacity and capabilities, without having to invest in costly new hardware, storage, or other infras

October 7, 2013