Click here to register (Snacks will be served) Registered reports are a new publication mechanism where researchers submit a research proposal to a journal that is peer-reviewed, and upon acceptance, the journal agrees to publish the results of the study regardless of the outcome. Registered reports help address key issues which have resulted in replication crises in multiple academic fields, such as publication bias and p-hacking. In this workshop, you will learn how to publish registered reports, the value of…

Research data has grown to unprecedented sizes making local storage, efficient data analysis and long-term archiving a significant challenge. In this session we will introduce the stages of the research data lifecycle. We will discuss how data management plays a role at key stages of the data lifecycle. Finally, we will review tools and resources available to UCLA researchers. Register here: https://uclahs.zoom.us/meeting/register/tJMqfuCgrjsiHNeBCMtZzsy7mFEUytslYvK9

Account creation, connecting via terminal, requesting interactive sessions, loading software in a user environment. Any questions about this workshop can be emailed to Raffaella D'Auria at dauria@oarc.ucla.edu. Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJIldemvqjotE93gkZrOw-jowhGR58Q_dtKB

Are you interested in displaying data? Do you want to make your charts and graphs understandable? Do you want to recognize when charts, graphs, and maps are manipulating the truth? If so, this is the workshop for you! We will look at using python pandas to create graphs and charts from tabular data, and how to publish these results as images and to the web. We will discuss different strategies of showing data, examples of misrepresenting data, and tips and…

Basics of Unix shell scripting. Any questions about this workshop can be emailed to Raffaella D'Auria at dauria@oarc.ucla.edu. Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJwodempqTotHdTfUnXazCoykoFa32tq6vHM  

This is a HPC workshop focused on optimizing visualization applications on the powerful Hoffman2 cluster. In this session, we will go over opening GUI interfaces, enabling usage of a range of applications. Using popular IDEs such as RStudio and Jupyter, while also exploring the capabilities of tools like ParaView, VisIt, and VTK on Hoffman2. Moreover, we will provide hands-on experience with curated example datasets, empowering you to leverage these software tools effectively in real-world scenarios. Any questions about this workshop…

Running Jupyter notebooks on the Hoffman2 Cluster. Any questions about this workshop can be emailed to Raffaella D'Auria at dauria@oarc.ucla.edu.  Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJAkdu6sqjgsGN10ggpiPVmfRbX8TSN7g8tN

In this hands-on session, you will gain the skills and knowledge required to successfully build and compile software in an HPC environment, regardless of your programming expertise. By utilizing the powerful compiling tools available on Hoffman2, you will learn to construct customized applications essential for your research. Moreover, we will delve into best practices for software development and explore the intricacies of compiling for GPUs, enabling you to harness the full potential of these specialized processing units. Any questions about…

Running batch jobs on the Hoffman2 Cluster.  Any questions about this workshop can be emailed to Raffaella D'Auria at dauria@oarc.ucla.edu.  Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJAode-hrjIiG9A6Sqp3y3syR0ejUjfR_dv7

Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently, mastering libraries like scikit-learn, pivotal in the arsenal of machine learning tools, is of paramount importance. This lecture is designed to provide a fundamental understanding of the scikit-learn Python library. To get the most out of this workshop, participants should have a working knowledge of Python programming and a foundational understanding of machine learning concepts. Any questions about this workshop…

Running Array jobs on the Hoffman2 Cluster.  Any questions about this workshop can be emailed to Raffaella D'Auria at dauria@oarc.ucla.edu. Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJYsdeqtpj0jGNTtNQtHaZunG2LVN1_texfD

Machine learning has undeniably emerged as a crucial element in the field of science and technology in recent years. Consequently, mastering libraries like scikit-learn, pivotal in the arsenal of machine learning tools, is of paramount importance.In this session, we delve into advanced aspects of leveraging the scikit-learn Python library for high-performance machine learning. We will focus on enhancing modeling speed with multicore processors and accelerators, as well as implementing out-of-core learning. This lecture builds upon the foundational concepts covered in…

This Hoffman2 Happy Hour is designed to equip participants with the knowledge and skills to harness the power of High-Performance Computing (HPC) for data analysis. The workshop focuses on two popular programming languages, R and Python, and provides step-by-step guidance on installing essential packages for HPC environments. Participants will learn how to navigate the intricacies of installing and configuring R and Python packages on HPC clusters, enabling them to take advantage of parallel computing capabilities for their data-intensive tasks. By…

This workshop covers descriptive analyses, both numerical and graphical, with both continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. Any questions about this workshop can be emailed to Christine Wells at crwells@ucla.edu.  Presented by the Office of Advanced Research Computing. Register here: https://ucla.zoom.us/meeting/register/tJYscuytqTIpEtQ5IOQL63Cl9AHdlrlb1ffw

This workshop explores tools in R for data management, with a focus on the several of the packages in the “tidyverse” collection. Topics covered include summarizing variables, subsetting rows and columns, generating group-level variables, combining data sets, reshaping data, and working with string and datetime data. This workshop is designed to be interactive, so some basic knowledge of R is helpful. Any questions about this workshop can be emailed to Andy Lin at alin@oarc.ucla.edu.  Presented by the Office of Advanced Research…