Mathematics and Computer Science

A leader in the computing sciences, the MCS Division provides the numerical tools and technology for solving some of our nation’s most critical scientific problems.

In addition to our world-class research, we develop the software for some of the fastest, most powerful computer systems in the world: systems that are enabling scientists to tackle problems previously considered infeasible.

Announcement

MCS researchers play organizing role in DOE workshop on randomized algorithms

The U.S. Department of Energy Advanced Scientific Computing program is sponsoring a virtual workshop on Randomized Algorithms for Scientific Computing (RASC).

Randomized Algorithms for Scientific Computing, Advanced Scientific Computing Research

Argonne National Laboratory will be well represented at the annual International Conference for High Performance Computing, Networking, Storage, and Analysis (SC20). (Image courtesy of SC Conference.)

Awards and Recognition

Argonne team collects Best Paper Award at SC20

The research is focused on using a high-performance, iterative reconstruction system for noninvasive imaging at synchrotron facilities.

petascale, Supercomputing

Awards and Recognition

Argonne captures five R&D 100 Awards and fields three finalists

Eight Argonne technologies are among those chosen as winners and finalists in the “Oscars of Innovation.”

Awards and Recognition, R&D 100 awards, RandD 100

Article

MCS researchers to play major role at SC20

The Mathematics and Computer Science (MCS) division at Argonne National Laboratory will play a major role at SC20, the premier annual conference in high-performance computing, networking, storage and analysis.

High Performance Computing, Machine Learning, Supercomputing

Left: Data from electron microscopy; grayscale with color regions showing segmentation. Right: Resulting 3D representation. (Image by Nicola Ferrier, Tom Uram and Rafael Vescovi, Argonne National Laboratory; Hanyu Li and Bobby Kasthuri, University of Chicago.)

Feature Story

The high-tech evolution of scientific computing: A slight return

Argonne is combining simulation, data science and machine learning approaches to help realize the promise of exascale computing.

Biology, Neuroscience, Computational Science

Feature Story

Argonne National Laboratory

MCS researchers play organizing role in DOE workshop on randomized algorithms

Argonne team collects Best Paper Award at SC20

Argonne captures five R&D 100 Awards and fields three finalists

MCS researchers to play major role at SC20

The high-tech evolution of scientific computing: A slight return

Building a better traffic forecasting model

Argonne researchers to share scientific computing advances at SC20 conference

Banishing blackouts

MCS Focus Areas

Advanced Architectures and Systems

Computational Engineering and Methods

Data Management and Storage Systems

Mathematical Modeling and Optimization

Foundations of ML, Data Analysis, and Statistics

Numerical Software and Mathematical Libraries

System Software and Performance Engineering

CONTACT US

Mathematics and Computer Science General Inquiries

Related Organizations

Machine Learning

Exascale Computing in the MCS Division

MACSER: Multifaceted Mathematics for Rare, High-Impact Events in Complex Energy and Environment Systems

MPICH: A High-Performance, Portable Implementation of MPI

OUR PEOPLE

OUR LEADERSHIP

Valerie E. Taylor

Paul Hovland

Stefan M. Wild

Argonne National Laboratory