The April 2014 HPC Tech Talk (Tuesday, April 22th from 4-5PM) will provide some brief OSC updates, have a user-driven Q&A session, and will close with an invited talk about MPI-3 from the MVAPICH developers from The Ohio State University. To get the WebEX information and add a calendar entry, go here. Slides are available below.
We have added two login nodes to Glenn (opt-login05 and opt-login06), which are quad-socket computers with 64 GB of RAM. These were previously used as large memory nodes on Glenn, and will provide greater resources to the shared environment on the login nodes.
As a general recommendation, we suggest selecting the newest compilers available for a new project. For repeatability, you may not want to change compilers in the middle of an experiment.
We recommend the Intel compilers on Oakley.
LS-PrePost is an advanced pre and post-processor that is delivered free with LS-DYNA. The user interface is designed to be both efficient and intuitive. LS-PrePost runs on Windows, Linux, and Unix utilizing OpenGL graphics to achieve fast rendering and XY plotting. The latest builds can be downloaded from LSTC's FTP Site.
The ANSYS and ABAQUS modules on Glenn and Oakley have been modified to allow all users to select the base module instead of special modules, which was previously required for licensing purposes. For example, if you wish to use ANSYS 14 on Oakley, all users should load the ansys/14 module (not 14-com or 14-nimbis), and they will automatically be pointed at the correct license server.
The March 2014 HPC Tech Talk (Tuesday, March 18th from 4-5PM) will provide some brief OSC updates, have a user-driven Q&A session, and will close with a live demonstration of OSC's OnDemand service. You can register for the WebEX session here. Slides are available below.
The February 2014 SUG HPC Tech Talk focused on using the NVIDIA GPUs for computational chemistry. Slides are attached.
ParaView is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large. ParaView was developed to support distributed computational models for processing large data sets and to create an open, flexible user interface.
Availability and Restrictions
ParaView is available on Ruby, Oakley and Glenn Clusters. The versions currently available at OSC are: