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.
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.
Wednesday, June 12, 2019 - 2:00am to Friday, June 14, 2019 - 10:00am
Research IT is excited to host the UC Research IT Facilitation Workshop on June 12-14, 2019. Nominated participants from across the UC campuses will gather to share best practices and learn how to strengthen their research facmilitation skills.
New and prospective users of Savio and other Berkeley Research Computing high performance computing (HPC) clusters (Cortex and Vector) are invited to attend an introductory training session on September 18, 2018. Topics will include a system overview and a review of basic cluster usage, such as logging in, accessing software, running jobs, and transferring files. Please RSVP here.
Are your MATLAB analyses outpacing your laptop? Scale up your computation with Berkeley Research Computing’s Savio high-performance computing cluster, and the MATLAB distributed computing server toolkit! Mathworks and BRC staff will be holding a one-day workshop on parallel computing with MATLAB and scaling to the Savio cluster, on August 15th from 9 AM - 12 PM
What’s cloud computing, and how might you use it in your research? This workshop will cover the basics of what services are available to researchers, how to get access to them, and a set of specific research use cases where cloud computing can help.