2019-12-13 /projects2 filesystems maintenance on January 14

– REMINDER –

/projects2 on the Pegasus cluster will be offline from 7AM to 11:59 PM EST, Tuesday, 01/14/2020. During this period, we will be working on the future expansion of our system. The rest of the system will be functioning as usual. Please plan accordingly.

2019-12-09 ACS Documentation updates

Advanced Computing Systems Documentation & User Guides are now displayed through ReadTheDocs : https://acs-docs.readthedocs.io/

2019-02-05 CG Campus network upgrades complete

CCS network upgrades have completed and access has been restored.

CCS AC
hpc@ccs.miami.edu

2017-02-17 CCS Advanced Computing – Slack community

CCS Advanced Computing invites you to connect with the Advanced Computing community on Slack: http://umadvancedcomputing.slack.com
The Advanced Computing community Slack channels provide a place for user discussions, information sharing, and informal announcements about CCS resources and developments. All users with an @miami.edu or @umiami.edu email address can create a Slack account in UM Advanced Computing.

2017-01-18 CCS Portal – portal.ccs.miami.edu

CCS Advanced Computing is excited to announce the launch of our newly redesigned Portal: https://portal.ccs.miami.edu
The new CCS Portal home page showcases up-to-date information about our clusters. Click the title for more details.

SPS Secure Processing Service – beta

Our most secure data processing offering is SPS, currently in beta. SPS is designed for secure access to extremely sensitive data sets including PHI. In addition to the security protocols used in the Vault data services, SPS requires additional administrative action for the certified placement and/or destruction of data. Advanced Computing staff (all CITI trained and IRB approved) act as data managers for several federal agencies including NSF, NIH, DoL, DoD, and VA projects.

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Once our staff has loaded and secured your data, you can remotely access one of the SPS servers (either Windows or Linux) which has access to the most common data analytic tools including R, SAS, Matlab, and Python. Additional tools are available on request. 50 TB of highly secure redundant storage (100TB raw).