UCLA continually produces significant amounts of data about the members of its community, as do third party providers such as publishers and educational partners. These data can be used for purposes as diverse as instructional enhancement, accreditation and governmental review, and increasing the efficiency of daily operations. Yet without careful consideration, data may be misused, causing harm to individuals.
The expanding demand for data about UCLA students, faculty, and staff inspired the creation of a joint Academic Senate–Administration data governance task force. The task force is co-chaired by Kent Wada, UCLA Chief Privacy Officer and Director, Strategic IT Policy and Christine Borgman, Professor and Presidential Chair in Information Studies. It is charged with recommending a campus governance mechanism by which new, potentially risky uses of data about the UCLA community can be holistically considered. Read the full article.
The Oak Ridge Leadership Computing Facility (OLCF) is now accepting proposals for Center for Accelerated Application Readiness (CAAR) partnership projects. The CAAR will establish eight partnership teams to prepare computational science or engineering applications for highly effective use on the OLCF system to be named Summit that will become available to users at the OLCF in 2018. Proposals for CAAR partnerships are due February 20, 2015 and should be sent electronically to email@example.com. Please see this page for the requirements for proposal elements.
Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the sixth International Summer School on HPC Challenges in Computational Sciences, to be held June 21-26, 2015, in Toronto, Canada. Applications are due March 11, 2015.
Join the UCLA Department of Information Studies and the UCLA library as we celebrate and host an exclusive book signing for Professor Christine Borgman's newest book, Big Data, Little Data, No Data: Scholarship in the Networked World. Free admission. Open to the public. February 25, 2015 from 4:00 - 6:00 pm in YRL Presentation Room 11348.
This talk surveys several state of the art techniques to approximate sets and statistics efficiently. While Bloom filters and their variants are well researched, we argue that compact hash table encoding is a better approach. To back up this claim, we introduce two novel data structures that are more space efficient than previously suggested alternatives. We will also present novel applications in the field of cache management. February 12, 2015 from 4:15 pm - 5:45 pm in 3400 Boelter Hall.
git is a popular revision control software used to track changes of files/directories. It is a great tool to handle your daily scientific workflows, such as tracking code changes, paper drafts and data files, merge changes from your coworkers, among other possibilities. This class will introduce essential features of git, followed by how to use free repository hosting services such as github.com and bitbucket.org to make team collaboration easy and effective. February 18, 2015 from 10:00 am - 12:00 pm in IDRE Portal (5628 Math Sciences). RSVP here.
This two-hour session is aimed to help researchers who are new to Linux. The session will introduce basic Unix/Linux commands, shells, as well as basic editors available on most of the Linux systems. It will also describe the compilation and execution procedures for a given program. February 18, 2015 from 1:00 - 3:00 pm in IDRE Portal (5628 Math Sciences). RSVP here.
Highlights from the SIMULIA academic suite, which includes new research and teaching packages with dramatically increased capabilities, will be presented. UCLA can now access *ALL* SIMULIA software technology using the same license tokens used for Abaqus. February 19, 2015 from 9:00 - 11:00 am in the IDRE Portal (5628 Math Sciences Building). RSVP here.
This class will present a number useful features of Python in the context of scientific computing, and introduce a number of supporting packages, including numpy for array-based computations and h5py to access HDF5 files, and the use of Python in parallel computing (MPI style). February 23, 2015 from 2:00 - 4:00 pm in the IDRE Portal (5628 Math Sciences). RSVP here.
This workshop aims to create novel synergistic collaborations between researchers in two different fields: modeling of many-particle (quantum and classical) systems and machine learning. February 23-27, 2015 at IPAM.
The IDRE Pipeline program aims to transition UCLA researchers from local resources such as Hoffman2 to take advantage of the free magnificent “leadership class” computing facilities.
A first step in optimizing and improving the parallel scalability of software so it can run effectively on leadership class facilities is profiling the software whereby one identifies how much computing time is spent within various subroutines, how well the code runs on one computing core, and how well it scales on many computing cores.
The purpose of this session is to describe few basic profiling techniques and help researchers at UCLA in gaining more insight into how well their application code runs on Hoffman2 or even larger systems. February 25, 2015 from 1:00 - 3:00 pm in 5907 Math Sciences. RSVP here.
MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of important ones commonly used in practice. This class is useful for those who plan to start writing MPI code, and also for those who would like to know how MPI works in order to operate an existing MPI code. February 26, 2015 from 2:00 - 4:00 pm in the IDRE Portal (5628 Math Sciences). RSVP here.
This class will cover the basics of how to build (configure and compile) programs on Linux/GNU computing environment, and how to write a Makefile to automate the build process. In addition to building programs, a Makefile can also be used as a tool to automate tasks related to dependency test. March 2, 2015 from 2:00 - 4:00 pm in IDRE Portal (5628 Math Sciences). RSVP here.
This is a hands-on workshop designed to introduce the basics of SAS programming. Focus will be on writing data steps to prepare data for analysis. March 3, 2015 from 9:00 am - 12:00 pm in IDRE Portal (5628 Math Sciences). RSVP here.
This seminar introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. March 5, 2015 from 9:00 - 12:00 pm in IDRE Portal (5628 Math Sciences). RSVP here.