Daily Bulletin Archive

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.

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.

March 25, 2019

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

March 18, 2019

GLADE users occasionally need to share files with others who have GLADE access but who aren’t in the same UNIX group. Rather than asking CISL to create a special group in such a case, consider using access control lists (ACLs) to provide the necessary permissions.

ACLs are tools for controlling access to files and directories outside of traditional UNIX permissions. The UNIX permissions remain in effect, but users can create ACLs to facilitate short-term file sharing as needed. In the Cheyenne/GLADE environment, the most common use cases are:

  • Sharing files among users in different NCAR labs or universities.

  • Sharing files with short-term visitors, interns, students, or others during a short project period.

See Using access control lists for examples of how to create ACLs to allow other individuals and groups to work with your files, how to propagate permissions to new files and directories, and how to remove ACLs when they are no longer needed.

 

March 18, 2019

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

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