Winners of MICDE symposium poster competition announced

By | General Interest, News

Three winners of the Michigan Institute for Computational Discovery and Engineering (MICDE) Poster Competition, held at the MICDE Annual Symposium, were announced April 7, 2016.

They are:

First place – Elizabeth Hou, Statistics (A. Hero), LSA
“Latent Laplacian Maximum Entropy Discrimination for Detection of High-Utility Anomalies”

Second place – Doreen Fan and J. Brad Maeng, Aerospace (P. Roe), CoE
“Is there a better way to solve conservation laws?”

Third place – Rose Cersonsky, Macromolecular Science and Engineering (S. Glotzer), CoE
“Understanding Spatial Packing via Variable Shape”

Approximately 50 posters took part in the competition. The winners were chosen by a vote of symposium attendees.

Software Carpentry workshop at U-M — May 2-3

By | Educational, Events

A Software Carpentry workshop will be held at the U-M Medical School May 2 and 3. These workshops are free and open to anyone on campus; the sessions are suitable for researchers in the humanities and social sciences. Register here.

This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

Who: The course is aimed at graduate students, postdocs, and other researchers across the University of Michigan. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Furstenberg 2710 (2nd floor of Med Sci II).

U-M software package HOOMD-blue chosen as benchmark for new GPU performance by NVIDIA

By | General Interest, News

HOOMD-blue, a University of Michigan-produced software package for particle simulation, was chosen as one of seven benchmark applications to demonstrate the speed of NVIDIA’s new Tesla P100 GPU.

HOOMD-blue was developed by Prof. Sharon Glotzer’s research group. It lets users define particle initial conditions and interactions in a high-level Python script. Python job scripts provide the flexibility to create custom initialization routines, control simulation parameters, and perform in situ analysis.

Webinars title “Introduction to HOOMD-blue” and “Using HOOMD-blue for Polymer Simulations and Big Systems” are available for viewing.