Office of Advanced Research Computing

Empowering the UCLA Researcher

Zenith App Platform (ZAP) a mobile research app platfrom

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No Code Research Apps
Training

UCLA provides faculty, staff and students a variety of online, 24/7 educational tools, classes, and books that allows everyone with a UCLA ID to access just-in-time training including:

Online Resources

Safari Books Online: a premier on-demand digital library providing over 12,400 technology, digital media, and business books and videos online.

Microsoft IT Academy: a subscription-based membership program designed to help schools offer students and faculty learning solutions for IT skills training and certification as well as technology essentials for professionals.

UCLA KnowledgeBase: an information bank or knowledgebase to help faculty, staff, students and campus help desks get accurate, current info about technology, administration and library solutions in this increasingly interdependent environment.

UCLA on iTunes U: distributes digital content developed at UCLA via the iTunes desktop application.

IT Services Training Center

UCLA IT Services YouTube: Watch How-To Videos on tools such as Skype for Business, VoIP, Confluence, Lync, and Office 365.

Gartner: UCLA has an enterprise wide Gartner membership that enables UCLA faculty, staff, and students to access Gartner research documents

Statistical Consulting: data analysis examples illustrating statistical analysis techniques and sample data from different statistical packages (R, Stata, SAS, SPSS, Mplus, and more).

In-Person Resources

OIT Workshops and Seminars: learn a variety of programs from R, SAS, SPSS, Python, Mplus, and other research tools at a training course.

UCLA Campus Human Resources (CHR): CHR offers hands-on software classes for Microsoft Office programs, and educational and career development certification programs for career employees.

UCLA Library Research Workshops: UCLA Library offers a variety of research workshops designed to teach relevant skills and concentrate on tools for analysis (such as text mining, data visualization, and spatial analysis); tools for organizing and managing your research (citation software, data management); and advice on publishing and presenting your research (copyright, poster presentations).

QCB Collaboratory Workshops: The QCB Collaboratory conduct hands-on workshops tailored to individuals in the Biosciences Community who are interested in learning data analysis, programming and statistical techniques, which include the analysis of next generation sequence data. The topics include Introduction to the Unix command line, NGS data analysis, R Programming, RNA-Seq, BS-Seq, and many other. Registration is free to UCLA faculty, staff, and affiliates.

More information at: https://oit.ucla.edu/training
High Performance Computing

High Performance Computing

The IDRE-HPC group is a strong team of experienced researchers in High Performance Computing. The group provides its expertise and support to empower scholars in their abilities to compute on high-end computer systems. IDRE-HPC also supports the Hoffman2 shared cluster and manages the IDRE Cluster Hosting Program for UCLA researchers. These resources meet campus needs for small- to medium-sized cluster computing and may provide a starting point to resources at national computing centers. The Hoffman2 Cluster is managed and operated by the IDRE Research Technology Group under the direction of Bill Labate.

UCLA’s Shared Hoffman2 Cluster currently consists of 1,200+ 64-bit nodes and 13,340 cores, with an aggregate of over 50TB of memory. Each node has 1GB Ethernet network and a DDR, QDR, or FDR Infiniband interconnect. The cluster includes a job scheduler, compilers for C, C++, Fortran 77, 90 and 95 on the current Shared Cluster architecture, applications and software libraries that offer languages, compilers and software specific to Chemistry, Chemical Engineering, Engineering, Mathematics, Visualization, Programming and an array of miscellaneous software. The current peak CPU performance of the cluster is approximately 150 Trillion Floating Point, double precision, operations per second (TFLOPS) plus another 200 TFLOPS with GPUs. Hoffman2 is currently the largest and most powerful shared cluster in the University of California system.
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