Video, slides available: “Advanced Research Computing at Michigan, An Overview,” Brock Palen, ARC-TS

By | General Interest, News

Video (http://myumi.ch/aAG7x) and slides (http://myumi.ch/aV7kz) are now available from Advanced Research Computing – Technology Services (ARC-TS) Associate Director Brock Palen’s presentation “Advanced Research Computing at Michigan, An Overview.”

Palen gave the talk on June 27, 2016, outlining the resources and services available from ARC-TS as well as from off-campus resource providers.

New MICDE associate directors named

By | General Interest, News

MICDE is pleased to announce the appointment of three new associate directors starting July 1, 2016: Karthik Duraisamy (Aerospace Engineering),  Annette Ostling (Ecology and Environmental Biology) and Siqian Shen (Industrial and Operations Engineering). The associate directors, together with MICDE Director Krishna Garikipati and Assistant Director Mariana Carrasco-Teja, will work on initiatives to help MICDE achieve its goals. These include growing MICDE’s educational programs, the Ph.D in Scientific Computing and the Graduate Certificate in Computational Discovery & Engineering; assembling interdisciplinary research teams and helping them secure funding for their projects; engaging with industrial partners; and coordinating outreach activities.

New on-campus data-science and computational research services available

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Researchers across campus now have access to several new services to help them navigate the new tools and methodologies emerging for data-intensive and computational research.

As part of the U-M Data Science Initiative announced in fall 2015, Consulting for Statistics, Computing and Analytics Research (CSCAR) is offering new and expanded services, including guidance on:

  • Research methodology for data science.
  • Large scale data processing using high performance computing systems.
  • Optimization of code and use of Flux and other advanced computing systems.
  • Advanced data management.
  • Geospatial data analyses.
  • Exploratory analysis and data visualization.
  • Obtaining licensed data from commercial sources.
  • Scraping, aggregating and integrating data from public sources.
  • Analysis of restricted data.

“With Big Data and computational simulations playing an ever-larger role in research in a variety of fields, it’s increasingly important to provide researchers with a comprehensive ecosystem of support and services that address those methodologies,” said CSCAR Director Kerby Shedden.

As part of this significant expansion of its scope, the campuswide statistical consulting service CSCAR has been renamed Consulting for Statistics, Computing and Analytics Research. It was formerly known as the Center for Statistical Consultation and Research.

For more information, see the University Record article.