Sunday, February 7, 2021 - 4:00pm to Thursday, February 11, 2021 - 4:00pm
A series of virtual events
Celebrate Love Data Week (LDW) by joining the UC community for a series of virtual events across campuses!
This nationwide campaign is designed to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and other research data services. Students, faculty,researchers, librarians, and data specialists are invited to attend these events to gain hands-on experience, learn about resources, and engage in discussions around data needs throughout the research process.
The meetup will be on WEDNESDAY, December 9th at 4pm, and will feature a research-focused agenda the Extreme Science and Engineering Discovery Environment (XSEDE, a single virtual system that scientists can use to interactively share computing resources, data and expertise.) People around the world use these resources and services — things like supercomputers, collections of data and new tools — to improve our planet. See: https://www.xsede.org/ for more!
Zoom (we will send the Zoom info after you register)
This training will discuss how the Slurm job scheduler works in general and how it is configured on Savio. The training will help you to understand how jobs are prioritized, why your job isn't running yet (or at all), and when your job will run. We'll also discuss how to submit various kinds of jobs, including parallel jobs.
Research IT is offering an introductory training session on using Savio, the campus Linux high-performance computing cluster. We will give an overview of how the cluster is set up, different ways you can get access to the cluster, logging in, transferring files, accessing software on the system, and submitting and monitoring jobs. New, prospective, and current users of Savio and other campus high performance computing (HPC) clusters (Cortex and Vector) are invited.
The current pandemic has disrupted nearly every aspect of normal life across the globe. Researchers at Berkeley also face particular challenges: funding losses and interruptions; lack of access to lab spaces and equipment; loss of data and specimens; and for those working with community partners and underrepresented populations, new vulnerabilities and inequities. Graduate and post-doctoral students also face a tough job market, and early career researchers are disproportionately affected in terms of tenure, promotion, and grant prospects. At the same time, some Berkeley researchers have emerged as leaders and innovators in the fight against SARS-CoV-2, and shifting priorities, new collaborations, and new funding streams are creating other opportunities.
This training will introduce you to the key concepts and tools for parallelization. We will discuss how to submit jobs to run in parallel on Savio, the campus high performance computing cluster, and how to monitor those jobs to check if they are doing what you expect. We will show examples of submitting parallel jobs using external software and running many small jobs in parallel in one large job that runs across one or more nodes. We will also discuss some of the tools in Python, R and MATLAB that allow you to run code in parallel.
The Global WiDS Conference is an annual one-day technical conference based at Stanford University, which brings together data scientists and professionals in adjacent fields from around the globe to discuss the latest research and applications of data science in a broad set of domains. Keynotes and technical talks from the WiDS conference at Stanford will be live-streamed and we will also host in-person talks and networking events highlighting the work of women in data science at Berkeley.
All genders are invited to participate in the conference, which features exclusively female speakers.
Data security and privacy increasingly shape research practices at UC Berkeley. Join us for a workshop using sensitive and protected data.
We’ll help you understand data security practices and navigate obstacles. You will learn how to classify your data according to campus standards, appropriately use campus-wide storage offerings, and take advantage of newly available computing services.
Research IT is happy to announce that campus has approved funding for the development of a new Secure Research Data and Compute (SRDC) Platform built for researchers working with highly sensitive data. The SRDC Platform will bring together High Performance Computing (HPC) nodes, virtual machines, and data storage in support of a wide range of research, disciplines, and workflows.
You are invited to an open house about these activities in the D-Lab (356 Barrows Hall) on Thursday, 11/7 from 3-4:30pm.