We all had this: "My program is too slow". We all have heard: "Use Fortran and C++, they are fast." But will it really help? We all have heard also: "Don't bother, use Python and R on a better computer", and "HPC clusters are fast". But what does "better" and "fast" even mean? In […]
OVERVIEW This workshop will go over methods and best practices for running machine learning applications on Great Lakes. We will briefly outline machine learning before stepping through a hands-on example problem to load a project and submit a job to the HPC cluster. Participants are expected to be familiar with Python, the command line, and […]
This is the third workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. Most workshops will have at least one […]
OVERVIEW This workshop will provide a gentle introduction to using the multiprocessing package in Python for parallelizing and speeding up code. We will use hands-on programming exercises to demonstrate how to quickly get started with commonly used components of the multiprocessing package. Note that a Great Lakes account is optional for this workshop, but you […]
OVERVIEW This course will familiarize the student with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell, also generically referred to as “the command line”. Topics include: a brief overview of Linux, the Bash shell, navigating the file system, basic commands, shell redirection, permissions, processes, and the command […]
OVERVIEW This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main body of the workshop will cover creating batch scripts and the options available to run jobs, and hands-on experience in submitting, tracking, and interpreting the […]
OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; workflow scripting using bash; high-throughput computing using launcher; parallel processing in one or more of Python, […]
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/22 2-3:30) Section 2: Data Management – The basics of maintaining and exploring a data set. […]
This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/25, 1-2:30) Section 2: Data Management – The basics of maintaining and exploring a data set. […]
This is the fourth workshop about the fundamentals of GIS and spatial analysis this semester. Each workshop covers one or two key elements and is self-contained. The focus is on conceptual details that can provide sufficient preparation for applications, but we will also touch upon the technical aspects. Most workshops will have at least one […]