About Us
Providing tools for transformative science

MCS provides intellectual and technical leadership in the computing sciences ‐ applied mathematics, computer science, and computational science. To this end, we tackle the most important scientific problems of our nation — problems that require innovative computational tools and technology for transformative science during the next several decades.

Our world-class research includes exciting initiatives in four key areas:

  • Extreme Computing: Exploring new approaches to system software, fault tolerance, and innovative programming models for next-generation computers
  • Data-Intensive Science: Formulating novel techniques for managing, storing, analyzing, and visualizing the enormous amounts of data produced by leadership-class computers and large experimental facilities
  • Applied Mathematics: Formulating rigorous theory leading to fast algorithms, deployed in software on leading-edge computing platforms
  • Science & Engineering Applications: Working with scientists and engineers to apply our advanced algorithms and tools to applications critical to our society, such as life science, climate change, materials, and energy systems simulations

In addition to our research, we provide access to some of the fastest, most powerful computer systems in the world: systems that are enabling scientists to tackle problems previously considered infeasible. These include:

Argonne Leadership Computing Facility

  • Mira: a 10-petaflops IBM Blue Gene/Q, running at 10 quadrillion calculations a second
  • Vesta: two racks of the IBM Blue Gene/Q used for test and development

Laboratory Computing Resource Center

  • Blues: 308 state-of-the-art computational nodes, for a total of 4,928 processor cores, capable of 103 teraflops, with 20 terabytes of memory and a high-performance network

MCS Division

  • Intel Xeon Phi coprocessor: 6 beta cards and three host machines, extending hardware support to high degrees of parallelism
  • NVIDIA GPU computer: 2 graphics processing units per node, with 240 computing cores per GPU

MCS at a Glance

Budget

$32.0M in FY13

Workforce

  • 85 scientists
  • 22 postdocs
  • 52 summer students

Research Range

  • Software development
  • Parallel computing
  • Communications technology
  • Scientific simulations

Collaborations

  • SciDAC institutes
  • Grid and cloud development
  • Metagenomics analysis of global microbial communities

Computational Resources

  • MIRA: IBM Blue Gene/Q system
  • NVIDIA Tesla C1060 GPU computer testbed