Michigan Technological University has several computing and visualization clusters and one-off work-stations, for research and teaching. Researchers may refer to the computing resources section to find an optimum match for their needs.

National Science Foundation Rocks Cluster Distribution Originally started by National Partnership for Advanced Computing Infrastructure and San Diego Supercomputer Center and called NPACI Rocks, Rocks Cluster Distribution is aimed at making every aspect of high performance computing clusters easy.

Rocks is supported by the National Science Foundation, under grants OCI-0721623 and OCI-1032778. As such, it is the choice approach for building computing and visualization clusters at Michigan Tech.


Data Center Switch Upgrade


Telcom will be upgrading the software on the data center switches, and as such, all computing clusters housed in GLRC will be inaccessible during 6-7 am on Thursday, July 17th 2014.

Running simulations will be unaffected.



Superior in review with insideHPC


insideHPC, a renowned platform that distils news and events in the world of HPC and presents them in bite-sized nuggets of helpfulness as a resource for supercomputing professionals, did an interview reviewing Superior's performance during the past year.

Read the complete interview here.



R 3.1.0 (Spring Dance)


R 3.1.0 (Spring Dance; Release Notes) has been compiled and is now available for use on all computing clusters. Necessary job submission script can be generated via qgenscript.

Researchers are strongly recommended to re-run a previously successful simulation with this newer version and make sure that the results are consistent before proceeding ahead with subsequent, production quality attempts.



Quantum ESPRESSO 5.1


Quantum ESPRESSO 5.1 (Release Notes) has been compiled and is now available for use on all computing clusters. Necessary job submission script can be generated via qgenscript.

Researchers are strongly recommended to re-run a previously successful simulation with this newer version and ensure that the results are consistent before proceeding ahead with subsequent, production quality attempts.



CONVERGE 2.2.0 β


CONVERGE 2.2.0 β, a computational fluid dynamics software suite, has been installed and is now available for use on Athena, Portage and Superior. Necessary job submission script can be generated via qgenscript.

Researchers specifically licensed and authorized to use this software suite are strongly recommended to run test simulations to ensure reproducibility of results from elsewhere before proceeding ahead with subsequent, production quality attempts.



CALYPSO 3.6


CALYPSO 3.6 has been compiled and is now available for use on all computing clusters. Necessary job submission script can be generated via qgenscript.

Researchers specifically authorized to use this software suite are strongly encourage to run a test/example simulation with our installation and ensure that the results are consistent before proceeding ahead with subsequent, production quality attempts.



[MathWorks; 9:00 pm] http://t.co/fFoZqL6czg GPU Computing with MATLAB #Webinar



[MathWorks; 2:00 pm] http://t.co/P2eTrRETnZ GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 9:00 pm] http://t.co/fFoZqL6czg GPU Computing with MATLAB #Webinar



[MathWorks; 9:00 am] http://t.co/2l8bJv4x6c GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 2:00 pm] http://t.co/P2eTrRETnZ GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 2:00 pm] http://t.co/47Daj4gHWs GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 9:00 pm] http://t.co/fFoZqL6czg GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 9:00 am] http://t.co/2l8bJv4x6c GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 2:00 pm] http://t.co/P2eTrRETnZ GPU Computing with MATLAB #Webinar



[MathWorks; 07/22 9:00 am] http://t.co/2l8bJv4x6c GPU Computing with MATLAB #Webinar



[MathWorks; 9:00 pm] http://t.co/LZgeSWndnF Machine Learning with MATLAB #Webinar



[IEEE Spectrum; 2:00 pm] http://t.co/46taw5Yhlu The Value of FDM Technology in Design Process #Webinar



[MathWorks; 2:00 pm] http://t.co/CsRnMGIzTI Machine Learning with MATLAB #Webinar



[MathWorks; 07/17 9:00 pm] http://t.co/LZgeSWndnF Machine Learning with MATLAB #Webinar



[MathWorks; 07/17 9:00 pm] http://t.co/lXeFdKqDeS Machine Learning with MATLAB #Webinar



[IEEE Spectrum; 07/17 2:00 pm] http://t.co/vs2NoCfABU The Value of FDM Technology in Design Process #Webinar



[MathWorks; 07/17 2:00 pm] http://t.co/9vVTf8mtVk Machine Learning with MATLAB #Webinar



[MathWorks; 07/17 9:00 am] http://t.co/0lPsyRkkGN Machine Learning with MATLAB #Webinar



[MathWorks; 9:00 am] http://t.co/0lPsyRkkGN Machine Learning with MATLAB #Webinar