On Saturday, January 28, MSI participated in the Science Museum of Minnesota’s Amantes de la Ciencia, an annual event designed to introduce visitors to science and education professionals in the Latino/a community. Visitors to the MSI booth got to build molecules with marshmallows and pretzels and see how researchers make molecule simulations on a computer.

A video presentation by Fotis Sotiropoulos (MSI Fellow) and Trung Le of St. Anthony Falls Laboratory and Daniel Keefe (MSI Principal Investigator) and Dane Coffey of Computer Science and Engineering won a prestigious award at the 2011 Annual Meeting of the APS Division of Fluid Mechanics. The Gallery of Fluid Motion competition recognizes computational and experimental images and videos that show outstanding artistic content, scientific originality, and ability to convey information. The calculations and visualizations for the team’s video, Vortex Formation and Instability in the Left Ventricle, were performed on MSI supercomputers. You can download the video from the Gallery of Fluid Motion.

MSI Principal Investigator Aditya Bhan (Chemical Engineering and Materials Science) is highlighted in a UMNews story about a new partnership program between the University and Dow Chemical Co. Dow is collaborating with and providing grants to U researchers in chemical and materials sciences. Another story about this partnership appears on the CSE website.

As a reward for winning the OVPR contest for "highest increase in participation" in the 2011 Community Fund Drive, the MSI staff was treated to a serenade by Vice President for Research Tim Mulcahy on December 1. VP Mulcahy, in appropriate attire, performed a song set to the music "La donna e mobile" from the opera Rigoletto by Verdi.


The Minnesota Supercomputing Institute (MSI) has installed a new graphics processing unit (GPU) system that it hopes will enable researchers to take advantage of this new technology for innovation and improved performance for research.


This new system complements MSI's current set of GPU tutorial nodes (four nodes with four Nvidia GTX480 GPUs) and the S2050 GPUs available to NIH researchers on the Koronis system. The new system includes a Dell R710 dual-socket, quad-core head/login node in a C6100 chassis, with 48 GB of memory; eight Dell compute nodes, each with dual X5675 six-core 3.06 GHz processors and 96 GB of memory; and 32 Nvidia M2070 GPUs.


Each compute node is connected to four GPU nodes, and the GPUs, together, have 448 3.13 GHz cores and 3 GB of memory per card. Moreover, each GPU is capable of 1.2 single-precision TFLOPS and 0.5 double-precision TFLOPs. The external chassis allows for easy expansion of the system to a larger node count and also connection to a variable number of GPUs per node. The system is interconnected by QDR infiniband and cooled with a passive, water-cooled door. Installation was completed the week of Dec. 6-10, 2011.