August 24, 2019

Advanced Research Computing

  1. December 15, 2017

    U-M fosters thriving artificial intelligence, machine learning research

    Research using machine learning and artificial intelligence — tools that allow computers to learn about and predict outcomes from massive datasets — has been booming at U-M.

  2. November 7, 2017

    U-M, Cavium partner on big data research computing platform

    A new partnership between U-M and the semiconductor company Cavium Inc. will create a powerful new big data computing cluster available to all U-M researchers.

  3. April 4, 2017

    UMOR to honor six staff members for outstanding research service

    Six U-M staff members will be recognized for outstanding research service with the Research Technical Staff Recognition Award, Research Administrator Recognition Award and Office of Research Exceptional Service Award.

  4. September 8, 2016

    U-M, Yottabyte partner to accelerate data-intensive research

    U-M and software company Yottabyte are partnering to provide a flexible computing cloud for complex computational analyses of sensitive and restricted data.

  5. April 6, 2016

    U-M, IBM collaborate on data-centric high performance computing

    U-M is collaborating with IBM to develop and deliver “data-centric” supercomputing systems designed to increase the pace of scientific discovery in a broad range of fields.

  6. January 27, 2016

    Program gives undergraduates use of high-performance computing

    Advanced Research Computing — Technology Services is launching a new program to assist faculty working with undergraduate students on research that requires high performance computing resources.

  7. January 25, 2016

    Program aims to improve network connections for researchers

    Advanced Research Computing — Technology Services has launched a new initiative aimed at facilitating uninterrupted data flow to meet the needs of researchers across campus.

  8. September 10, 2015

    $3.5 million to mix supercomputer simulations with big data

    U-M will build and manage a new way of computing that could lead to immediate advances in aerodynamics, climate science, cosmology, materials science and cardiovascular research.