The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

The most widely used way to interact with computers is through a graphical user interface, for example, the desktop interface of Microsoft Windows or Mac OS. However, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command line, terminal, shell, console, or prompt, and while it may appear complex at first sight, it offers a lot of power and flexibility for telling…

Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. Besides understanding of cloud computing, these workshops are intended to provide hands-on tutorials to see how cloud service providers may offer academic researchers an option to use additional computing resources. Working on two major cloud providers, Amazon Web Service (AWS) and Google Cloud Platform (GCP), we will go over an introduction, compute instances, interactive computing, storage, and even…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time, effort, and headache. For example, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished data products that can be published. This process can be tedious and error-prone, and sometimes it’s not easy to reproduce. With shell scripts, you can…

Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. This workshop series will provide hands-on tutorials to demonstrate cloud services as an alternative computing resource for academic researchers. We will cover two leading cloud services, Amazon Web Service (AWS) and Google Cloud Platform (GCP). The topics include: an introduction, compute instances, interactive computing, storage, and setting up an HPC cluster in the clouds. Any questions about this…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

This workshop is an overview of how to acquire and run Jupyter Notebook services for free from anywhere. In another word, you will learn how a web browser is all you need for getting free Jupyter resources. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu.  Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJItc-2rrT0oH9175yFJ9te98AnFNjqvrMnm

Whether it is interviews, documentary coverage, or contextual footage, video has become a common practice within research. This course is designed to help scholars manage and make use of their research video footage. The workshop will discuss various best practices regarding file management, editing platforms, and techniques for putting footage together to meet your research goals. Participants will be introduced to Davinci Resolve to learn the basics of a preliminary editing process with industry standard software. Software alternatives, such as…

This workshop will go over using Big Data techniques on HPC resources. Big Data methods are used when data size because so large, it becomes challenging to compute. Also, when machine learning models become so complex, it can also be challenging to train. In this workshop, we will go over examples of solving Big Data problems on UCLA’s HPC resource Hoffman2. This is an introductory workshop is intended to showcase various Big Data software and libraries, such as, Spark and…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

This workshop is a descriptive "no-math" and "no-python" introduction to what deep learning is and how to train a deep neural network. Our discussion will be arranged along with a general procedure for working on a deep learning project. Basic knowledge of calculus and linear algebra will be helpful in understanding the details. Any questions about this workshop can be emailed to Qiyang Hu at hyhuang@oarc.ucla.edu.  Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJErfuysrDIpEtV0NY_dVJ67XS1ZDrmPENT5

This workshop introduces the functionality of R, with a focus on data analysis. Topics include: using RStudio, R coding basics, importing and cleaning data, simple data analysis functions, and brief introductions to R graphics (base and ggplot2) and RMarkdown. This workshop is interactive with coding exercises throughout. Any questions about this workshop can be emailed to Andy Lin at alin@oarc.ucla.edu.   Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJAof-CtpjktGdCuPcuKIye5gFwlTBlCdrWV

We will give a general introduction to PyTorch, a popular deep learning framework, with practical illustrations on the primary usage of tensors and automatic differentiation, and on solving a simple temperature-conversion problem using PyTorch. The knowledge of topics covered in the previous session about machine/deep learning is assumed. Working experience with Python and Jupyter Notebooks will be helpful in following the demos. Any questions about this workshop can be emailed to Qiyang Hu at hyhuang@oarc.ucla.edu.  Presented by the Office of…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

MPI (Message Passing Interface) is a standardized interface for writing portable distributed-memory parallel scientific code. The portability of MPI ensures the same MPI program works the same way on different platforms, ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations, data analysis and visualization in the last three decades. An MPI program typically launches a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of…

In this workshop, we will talk about deep learning and neural network from a different perspective. After a very brief introduction to what machine learning and deep learning are, our discussion will be focused on what deep learning technology can (and cannot) bring to academic research, including both the benefits and the challenges. No specific prerequisite knowledge is required. Any questions about this workshop can be emailed to Qiyang Hu at hyhuang@oarc.ucla.edu.  Presented by the Office of Advanced Research Computing…

Mplus is a powerful statistical package used for the analysis of latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. The program can handle a combination of categorical and continuous variables and often permits missing data. It integrates these analyses into a single framework where you can combine techniques like growth curve modeling and latent class analysis to ask…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

MPI (Message Passing Interface) is a standardized interface for writing portable distributed-memory parallel scientific code. The portability of MPI ensures the same MPI program works the same way on different platforms, ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations, data analysis and visualization in the last three decades. An MPI program typically launches a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of…

This seminar will introduce some fundamental topics in regression analysis using R in three parts. The first part will begin with a brief overview of the R environment, and then simple and multiple regression using R. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this seminar will introduce categorical variables in R and interpretation of regression analysis with categorical predictors. Any questions about…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…

MPI (Message Passing Interface) is a standardized interface for writing portable distributed-memory parallel scientific code. The portability of MPI ensures the same MPI program works the same way on different platforms, ranging from laptop computers to massively parallel supercomputers. MPI has been widely used in advanced simulations, data analysis and visualization in the last three decades. An MPI program typically launches a set of processes distributed across multiple CPU cores or compute nodes. Each process would perform a part of…

The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring your computational questions (they do not have to be strictly related to the topic of the week) or just your curiosity. Examples and hands-on components…