Daily Bulletin Archive

April 9, 2019

A semi-annual NCAR Mesa Lab building maintenance power-down is scheduled for Saturday, April 13, but it should have little impact on university users of CISL’s high-end resources. Some Boulder-based UCAR/NCAR staff will be unable to log in to the Cheyenne system or other services, but sessions that start before the power-down will not be affected. The maintenance work is scheduled to begin at 4 a.m. and conclude by early evening.

The Cheyenne and Casper clusters, the GLADE system, Campaign Storage, and HPSS will remain in service at the NCAR-Wyoming Supercomputing Center (NWSC) in Cheyenne. Services that will be unavailable during the power-down include the SAM accounting system, the CISL website, license servers for Mathematica and the PGI compilers, and the ExtraView help desk ticketing system. The license server that supports MATLAB users on Cheyenne will not be affected.

Users who have urgent help requests during this time should call 303-497-2400 or 307-996-4300 to reach the NWSC operations center.

April 8, 2019

The release of MATLAB version R2019a previously scheduled for April 4 is now scheduled for this Thursday, April 11, at noon MDT.  The updates will apply to both the Cheyenne and Casper clusters. After the update the default MATLAB version will remain at R2016b for several weeks to allow users time to update their scripts and workflows.
 

The update will require a restart of the license server, which is expected to take less than 60 minutes. The license server also manages the Intel and PGI compilers and IDL software. During the license server restart period users will not be able to access new instances of those licenses. Batch jobs and interactive processes that are already running when the update begins are not expected to be affected.

April 5, 2019

An update of MATLAB to version R2019a on both Cheyenne and Casper that was scheduled for Thursday, April 4, has been postponed because of issues with the new MATLAB license. Another announcement will be made when the update is rescheduled.

April 4, 2019

This planned update has been postponed.

The newest version of MATLAB – R2019a – will be released on both Cheyenne and Casper this Thursday, April 4, at noon MDT. At that time the default version of MATLAB will be switched from R2016b to R2019a on both systems. MATLAB versions R2015b, R2016b, and R2018a will remain available after the update.

The update will require a restart of the license server, which is expected to take less than 60 minutes. The license server also manages the Intel and PGI compilers and IDL software. During the license server restart period users will not be able to access new instances of those licenses. Batch jobs and interactive processes that are already running when the update begins are not expected to be affected.

April 4, 2019

The Cheyenne system and Casper nodes are configured for distinct purposes. Cheyenne is best used for running climate and weather models and simulations while the heterogeneous Casper cluster of nodes is for other specialized work. Most Casper nodes are used for analyzing and visualizing data while others feature large-memory, dense GPU configurations that support explorations in machine learning and deep learning.

This documentation explains how to get jobs running on the most appropriate system for your work and on the individual types of nodes that will best meet your needs:

For expert assistance or guidance in using these resources, contact the CISL Consulting Services Group. See this web page for additional best practices.

April 2, 2019

No scheduled downtime: Cheyenne, Casper, Campaign Storage, and GLADE

HPSS Disaster Recovery service at the Mesa Lab will be down from 3pm on April 2, 2019 until 9am on April 3, 2019 in support of the major networking work

April 2, 2019

CISL system administrators recently detected a bad cable on Casper node casper19, which is now back in service with a temporary replacement cable. Users whose jobs or interactive sessions land on casper19 may experience slower read/write performance than on other nodes until a new cable is delivered and installed.

April 2, 2019

Students who are studying data science or computing applications and who are women or members of an underrepresented group can be nominated this month for graduate fellowships that carry a stipend of $15,000 per year through an international ACM SIGHPC and Intel program.

The goal of the program is to increase the diversity of students pursuing graduate degrees in data science and computational science, including women as well as students from racial/ethnic backgrounds that have not traditionally participated in the computing field. The program supports students pursuing degrees at institutions anywhere in the world.

Submissions are now open. Interested faculty advisors and students can find more information on the fellowships, including a description of the online nomination process, on this web page. Nominations close April 30. Contact fellowships@sighpc.org if you have questions.

March 29, 2019

The CISL website, the Systems Accounting Manager, Notifier service, ExtraView helpdesk ticketing system, and some other support services will be unavailable from 4:30 p.m. MDT to about midnight on Tuesday, April 2, while network infrastructure work is done. Thank you for your patience as the maintenance tasks are completed.

March 25, 2019

Registration is open for a MATLAB class that CISL is hosting at 9 a.m. on Thursday, March 28, in Boulder. A MathWorks application engineer will present Build and Execute Parallel Applications in MATLAB in the Small Seminar Room, Foothills Lab 2 (FL2-1001).

Class description

In this session we show how to program parallel applications in MATLAB. We introduce high-level programming constructs to easily create parallel applications without low-level programming and show how to offload processor-intensive tasks on a computing resource of your choice – multicore computers, GPUs, or larger resources such as HPC clusters and cloud computing services.

Learning objectives:

  • Program parallel applications in MATLAB

  • Analyze big data sets and solve large scale problems

  • Run parallel applications interactively and as batch jobs

  • Employ multicore processors and GPUs to speed up your computations

  • Off-loading processor-intensive tasks to clusters and cloud computing services

Use this link to register and attend in person. The class will not be recorded or available online.

Pages