Argonne National Laboratory

Science Highlights

Date Postedsort ascending
Locking and arbitration in multithreaded MPI implementations

A team of researchers at Argonne National Laboratory, the Chinese Academy of Sciences, Intel, and the Tokyo Institute of Technology now have devised an approach that uses arbitration to favor execution paths that contribute better to the overall progress.

August 18, 2016
NekCEM/Nek5000 named R&D 100 finalist

The project NekCEM/Nek5000: Scalable High-Order Simulation Codes has been named a finalist in the 2016 the R&D 100 Awards, which are given by R&D Magazine to its top 100 new technologies for the year.

August 11, 2016
Modeling a million-node Slim Fly network

Researchers at Rensselaer Polytechnic Institute and Argonne National Laboratory have now developed an efficient and detailed model of the Slim Fly network using massively parallel discrete-event simulation.

August 2, 2016
Thirteen student participants received travel grants to attend the PETSc 2016 User Meeting.
Meeting highlights exciting work being done by the PETSc user community

The PETSc 2016 User Meeting kicked off June 28 in Vienna, Austria, with a daylong tutorial, followed by two days of plenary talks and poster sessions. PETSc, the Portable, Extensible Toolkit for Scientific Computing developed at the U.S. Department of Energy’s Argonne National Laboratory and collaborating institutions, is one of the world's most widely used software libraries for high-performance computational science.

July 25, 2016
Cappello gives tutorial on resilience for HPC

Franck Cappello co-presented a tutorial July 1 on resilience for high-performance computing at the 46th annual IEEE/IFIP international conference on Dependable Systems and Networks (DSN 2016).

July 11, 2016
I/O benchmark time reported by a 4,800-process IOR file per process
experiment that issued nearly 10 million distinct I/O operations on
NERSC's Edison Cray XC30 system. The experiment was repeated 15 times for each configuration to confirm that Darshan's impact onapplication performance is negligible.
Evaluating the New Modularized Version of Darshan on the Cray XC30

Darshan is a software tool designed and developed by a team of researchers at Argonne’s Mathematics and Computer Science (MCS) Division and widely used to gather I/O workload statistics from high-performance computing applications. Darshan’s original design goals were threefold: scalability on leadership-class computing systems, transparency to end users, and accuracy in the I/O characterization of applications. In 2015, the Darshan team – comprising Phil Carns, Shane Snyder, and Rob Ross – decided to add a fourth goal: modularization.

June 23, 2016
Defining Features in Uncertain Unsteady Flows

researchers at Argonne National Laboratory and Ohio State University have extended a standard tool – finite-time Lyapunov exponents, or FTLE – to accommodate uncertainty in visualizing unsteady flows.

June 3, 2016
Marc Snir gives plenary talk on exascale computing

Marc Snir gave a plenary talk at the PASC16 (Platform for Advanced Scientific Computing) conference on June 8, 2016, in Lausanne, Switzerland.

June 3, 2016
Making a smart electric power grid

Argonne computational mathematician contributes to a report titled Analytic Research Foundations for the Next-Generation Electric Power Grid.

May 2, 2016
Webinar series on best practices for software developers

A new webinar series aimed at developers of software on high-performance computing (HPC) systems began on May 4, 2016.

April 27, 2016