Graduate programs in computational and data science — informational sessions Sept. 19 & 21

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Students interested in computational and data science are invited to learn about graduate programs that will prepare them for success in computationally intensive fields. Pizza and pop will be provided.

Two sessions are scheduled:

Monday, Sept. 19, 5 – 6 p.m.
Johnson Rooms, Lurie Engineering Center (North Campus)

Wednesday, Sept. 21, 5 – 6 p.m.
2001 LSA Building (Central Campus)

The sessions will address:

  • The Ph.D. in Scientific Computing, which is open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”
  • The Graduate Certificate in Computational Discovery and Engineering, which trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan. This year we will offer a new practicum option through the Multidisciplinary Design Program.
  • The Graduate Certificate in Data Science, which is focused on developing core proficiencies in data analytics:
    1) Modeling — Understanding of core data science principles, assumptions and applications;
    2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
    3) Practice — Hands-on experience with real data, modeling tools, and technology resources.

MICDE Fall 2016 Seminar Series speakers announced

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The Michigan Institute for Computational Discovery and Engineering (MICDE) is proud to announce its fall lineup of seminar speakers. In cooperation with academic departments across campus, the seminar series brings nationally recognized speakers to campus.

This fall’s speakers are:

Sept. 13: Nathan Kutz, Professor of Applied Mathematics, University of Washington

Sept. 22: Rob Gardner, Senior Scientist at the Computation Institute, University of Chicago

Sept. 29: Jeremy Lichstein, Assistant Professor of Biology, University of Florida

Oct. 6: Jonathan Freund, Professor of Mechanical Science and Engineering and of Aerospace Engineering, University of Illinois, Urbana-Champaign

Oct. 14: Anthony Wachs, Assistant Professor of Mathematics and of Chemical and Biological Engineering, University of British Columbia

Oct. 26: Andrea Lodi, Professor of Mathematical and Industrial Engineering, Polytechnique Montreal

Nov. 11: David Higdon, Professor of the Biocomplexity Institute, Virginia Tech

Dec. 9: Ann Almgren, Staff Scientist at the Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratories

For more information, including links to bios and abstracts as available, please visit micde.umich.edu/seminar-series/.

Students in the Graduate Certificate in Computational Discovery and Engineering program are required to attend at least half of the seminars.

Registration open for on-campus telecast of XSEDE workshop on MPI — Sept. 7-8

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U-M is hosting a telecast of a workshop on MPI (message passing interface) presented by XSEDE and the Pittsburgh Supercomputing Center.

This workshop is intended to give C and Fortran programmers a hands-on introduction to MPI programming. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing.

Time/Date: 11 a.m. to 5 p.m. Eastern, Wednesday, Sept. 7 and Thursday, Sept. 8

Location: Room B003E, North Campus Research Complex (NCRC), Building 16, 2800 Plymouth Rd.

Registration: Registration is required through the XSEDE website (you must create an XSEDE user account to register). Space is limited.

More information: Class website.

Contact: Simon Adorf (csadorf@umich.edu)

miRcore’s high school biotechnology camp a success

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GIDAS Biotechnology camp’s high school students learning about microRNA targeted predictions using Flux, with support from MICDE and U-M’s Scientific Computing Student Club members.

 

From Aug. 8-12, 2016, MICDE and ARC-TS donated a Flux allocation and computational support to miRcore and its GIDAS’ Biotechnology Camp for high school students. All the students were able to log in the cluster, and use the command line to run RNAhybrid, a tool for finding the minimum free energy hybridization of a long and a short RNA. The students learned about microRNA target predictions that complemented the camp’s wet lab experiments. Scientific Computing Student Club members Joe Paki and Blair Winograd provided support to the students.

MICDE is partnered with miRcore, a non-profit organization whose mission is to democratize medical research by building funds for microgrants to support innovative genetic research.

U-M team uses Flux HPC cluster for pre-surgery simulations

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Last summer, Alberto Figueroa’s BME lab at the University of Michigan achieved an important “first” – using computer-generated blood flow simulations to plan a complex cardiovascular procedure.

“I believe this is the first time that virtual surgical planning was done for real and not as a retrospective theoretical exercise ,” says Figueroa.

Using a patient’s medical and imaging data, Figueroa was able to create a model of her unique vasculature and blood flow, then use it to guide U-M pediatric cardiologists Aimee Armstrong, Martin Bocks, and Adam Dorfman in placing a graft in her inferior vena cava to help alleviate complications from pulmonary arteriovenous malformations (PAVMs). The simulations were done using the Flux HPC cluster.

Read more…

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

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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

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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.