Events

Introduction to the Command-Line Interface (Shell, Bash, Unix, Linux) (2023)

Access to tools and computational resources for large-scale data analysis often require knowledge of the command-line interface (also referred to as Unix or Linux or bash or shell). In this 3-day hands-on workshop participants will learn the following: basic shell commands for navigating the file system, exploring file contents, performing basic operations, such as moving, copying, and […]

Event Series Intro to Parallel Computing

Intro to Parallel Computing

TMEC 328

This is a short introduction to Parallel Computing that will include an overview of the basic concepts of parallel programming: from running your job in an embarrassingly parallel way to writing simple shared and distributed memory parallelization codes in different languages. The seminar will cover several examples of actual parallel codes however it will not […]

Spring Cleaning for Your Data

Whether you’re motivated by the joy-sparking tidying up of Marie Kondo, or get inspired by a good old-fashioned spring-cleaning spree, now is a great time to clean up your data. […]

Quarto from Posit Connect

This is a hands-on workshop designed for those who have no or little prior experience with Quarto. Quarto is the next generation of RMarkdown for publishing, including dynamic and static documents and multi-lingual programming language support. With Quarto you can create documents, books, presentations, blogs or other online resources. This workshop will be appropriate for […]

Event Series Intro to Parallel Computing

Intro to Parallel Computing

TMEC 328

This is a short introduction to Parallel Computing that will include an overview of the basic concepts of parallel programming: from running your job in an embarrassingly parallel way to writing simple shared and distributed memory parallelization codes in different languages. The seminar will cover several examples of actual parallel codes however it will not […]

Optimizing O2 Jobs

TMEC 328

In this short seminar we cover some simple but essential rules to use the O2 cluster in the most efficient (and inexpensive) way. Audience: Anyone running jobs in the O2 cluster Prerequisites: Familiarity with the O2 cluster and the Slurm scheduler Cost: None Late Drop/Cancel Fee: None Please contact lingsheng_dong@hms.harvard.edu with any question.