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Research Computing Seminars
Spring 2023 Seminars
The research computing seminars in preparation for the Spring semester are designed to lead participants through a survey of the wide range of available research computing techniques that they can apply to their training and research. Over the course of this seminar series, students will be expected to imagine how their projects can be formulated to take advantage of both small and large scale computation. We will begin with the end in mind, by first creating a map of the high-performance computing (HPC) resources available to the research community at Lehigh. After the introduction we will study the Linux basics required to effectively work with code and data, followed by the SLURM scheduler used to share a large HPC platform. The final three sessions will provide a deeper dive into interactive computing with the Open OnDemand portal, building your own highly-portable software containers, and using Python for advanced computation on the cluster. Attendees are welcome to bring their own research problems and questions to these sessions.
The RC-HPC sessions cooperate with a larger body of seminars hosted by Library and Technology Services. Of particular interest are the Python and R seminars, since the skills that you learn in these classes can translate into much larger problems that require high-performance computing.
When: TBD
Where: TBD
Registration: Coming Soon.
| Date | Title |
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| TBD | Research Computing Resources at Lehigh Description: This seminar provides an overview of the Research Computing resources available to the Lehigh research community. We introduce high-performance computing (HPC) and provide a guide for gaining access to research computing resources, specifically the hardware, software, and training required to support new research. We also provide an overview of external computing resources provided by the National Science Foundation (NSF). Instructor: Ryan Bradley |
Spring 2022 HPC Seminars
When: Thursday @ 2PM
Where: Zoom
| Date | Title |
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| February 3 | Research Computing resources at Lehigh Description: This seminar provides an overview of Research Computing resources available to the Lehigh research community. Instructor: Alex Pacheco | Slides | Recordings |
| February 10 | Linux: Basic Commands & Environment Description: Linux is a free and open source operating system that is the OS of choice of the world's leading supercomputers as well as LTS HPC clusters and some computer labs at Lehigh. This session will provide an introduction to the linux/unix environment, command line basics, logging in to remote system, transferring data, vi/emacs editors etc to get started with using a Linux/Unix based computer. This seminar is geared towards researchers who want to learn or need to learn how to use a linux/unix based resource. Instructor: Sachin Joshi | Slides | Recordings |
| February 17 | Using SLURM scheduler on Lehigh's HPC cluster Description: This seminar provides a hands on introduction to using the SLURM scheduler to submit and monitor jobs. SLURM is the scheduler on Lehigh's HPC resources, Sol and Hawk, and national supercomputing resources including XSEDE and NERSC. Prerequisites: An HPC account or an account on national supercomputing resources (XSEDE, DOE, etc) that uses SLURM. Familiarity with Linux/Unix environment, basic command and *nix editors such as vi or emacs is mandatory. Instructor: Alex Pacheco | Slides | Recordings |
| February 24 | Python Programming Description: In this seminar, you will learn the basics of Python, including language fundamentals and basic programming. Prerequisites: Programming background is beneficial but not required. Instructor: Sachin Joshi | Slides | Recordings |
| March 3 | R Programming Description: In this seminar, you will learn the basics of R, including language fundamentals, data types, functions and basic programming including File I/O. Prerequisites: Programming background is beneficial but not required. Instructor: Jeremy Mack | Slides | Recordings |
| March 10 | Introduction to Open OnDemand Description: Open OnDemand (OOD) is an NSF-funded open-source HPC portal developed by the Ohio Supercomputing Center. The goal of OOD is to provide an easy way for system administrators to provide web access to their HPC resources. This seminar introduces OOD to access interactive applications such as MATLAB, Jupyter Lab/Notebooks, and RStudio on Lehigh's HPC cluster. Prerequisites: An HPC account with an active allocation and a web browser. A Lehigh IP or VPN required. Instructor: Alex Pacheco | Slides | Recordings |
| March 17 | Data Visualization with Python Description: This seminar provides a hands on introduction to Data Visualization using the Python programming language. Prerequisites: Programming background in Python is required. Instructor: Sachin Joshi | Slides | Recordings |
| March 24 | Data Visualization with R Description: This seminar provides a hands on introduction to Data Visualization using the R programming language Prerequisites: Programming background in R is required. Instructor: Jeremy Mack | Slides | Recordings |
| March 31 | Bring Your Own Software: Containers on HPC Resources Description: Singularity is an open-source container engine designed to bring operating system-level virtualization to scientific and high-performance computing. In this seminar, we’ll provide an overview of Singularity and how you can Build Your Own Software in a singularity container for use in your research on Sol. Prerequisites: A Linux system with singularity installed (check your package manager if your distribution provides singularity or see installation instructions). Instructor: Alex Pacheco | Slides | Recordings |
| April 7 | Object-Oriented Programming with Python Description: Object Oriented Programming or OOP is a programming paradigm which provides a means of structuring programs (combining data and functionality) so that properties and behaviors are bundled into individual objects. In this seminar, you’ll learn the basic concepts of OOP in Python: Python Classes, Object Instances, Defining and Working with Methods and OOP Inheritance. Prerequisites: Programming background in Python is required. Knowledge of OOP’s concepts is beneficial but not required. Instructor: Sachin Joshi | Slides | Recordings |
| April 14 | Shiny Apps in R Description: Shiny Apps, interactive web applications built using R programming language, have grown in popularity. This session will provide attendees experience using the Shiny package and the idea of reactive programming, which forms the basis of building an interactive web application. Prerequisites: Programming background in R is required. Instructor: Jeremy Mack | Slides | Recordings |
Archived Seminars
| Title | Downloads |
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|---|
Research Computing resources at Lehigh Description: This training provides an overview of Research Computing resources available to the Lehigh research community. | Slides | Recordings |
Writing an Allocation Proposal | Slides | Recordings |
Using SLURM scheduler on Sol Description: This training provides a hands on introduction to using the SLURM scheduler to submit and monitor jobs. SLURM is the scheduler on Lehigh's HPC resource, Sol, and national supercomputing resources including XSEDE and NERSC. Prerequisites: An account on Sol or an account on national supercomputing resources (XSEDE, DOE, etc) that uses SLURM. Familiarity with Linux/Unix environment, basic command and *nix editors such as vi or emacs is mandatory. | Slides | Recordings |
Introduction to Open OnDemand Description: Open OnDemand (OOD) is an NSF-funded open-source HPC portal developed by the Ohio Supercomputing Center. The goal of OOD is to provide an easy way for system administrators to provide web access to their HPC resources. This tutorial introduces OOD to access Lehigh's Sol cluster. Prerequisites: An account on Sol with an active allocation and a web browser. A Lehigh IP or VPN required. | Slides | Recordings |
Bring Your Own Software Description: This seminar is geared towards users who wish to bring or build their own software stack to use on Sol and Hawk (or even local linux systems). Topics to be covered include best practices for installing packages using make, cmake and configure, SPACK package manager, and Singularity. Prerequisites: Some familiarity with compilers, and linux environment is required. | Slides |
|
| A Brief Introduction to Linux | Slides | Recordings |
Linux: Basic Commands & Environment Description: Linux is a free and open source operating system that is the OS of choice of the world's leading supercomputers as well as LTS HPC clusters and some computer labs at Lehigh. This session will provide an introduction to the linux/unix environment, command line basics, logging in to remote system, transferring data, vi/emacs editors etc to get started with using a Linux/Unix based computer. This training is geared towards researchers who want to learn or need to learn how to use a linux/unix based resource. | Slides | Recordings |
| Basic Shell Scripting | Slides | Recordings |
| Advanced Shell Scripting | Slides | Recordings |
R Programming Description: In this tutorial, you will learn the basics of R, including language fundamentals, data types, functions and basic programming including File I/O. Prerequisites: Programming background is beneficial but not required. | Slides | Recordings |
Data Visualization with R Description: This tutorial provides a hands on introduction to Data Visualization using the R programming language Prerequisites: Programming background in R is required. | Slides | Recordings |
Shiny Apps in R Description: Shiny Apps, interactive web applications built using R programming language, have grown in popularity. This session will provide attendees experience using the Shiny package and the idea of reactive programming, which forms the basis of building an interactive web application. Prerequisites: Programming background in R is required. | Slides | Recordings |
Python Programming Description: In this seminar, you will learn the basics of Python, including language fundamentals and basic programming. Prerequisites: Programming background is beneficial but not required. | Slides | Recordings |
Python Data Structures Description: Data Structures are the fundamental constructs around which you build your programs. Python is a high-level, interpreted, interactive and object-oriented scripting language using which we can study the fundamentals of data structure in a simpler way as compared to other programming languages. In this seminar we are going to study a short overview of some frequently used data structures in general and how they are related to some specific python data types. Prerequisites: Programming background in Python is required. Knowledge of data structure concepts is beneficial but not required. | Slides | Recordings |
Data Visualization with Python Description: This seminar provides a hands on introduction to Data Visualization using the Python programming language. Prerequisites: Programming background in Python is required. | Slides | Recordings |
Object-Oriented Programming with Python Description: Object Oriented Programming or OOP is a programming paradigm which provides a means of structuring programs (combining data and functionality) so that properties and behaviors are bundled into individual objects. In this seminar, you’ll learn the basic concepts of OOP in Python: Python Classes, Object Instances, Defining and Working with Methods and OOP Inheritance. Prerequisites: Programming background in Python is required. Knowledge of OOP’s concepts is beneficial but not required. | Slides | Recordings |
Machine Learning Description: Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. In this two part seminar you’ll learn the basic machine learning concepts: supervised and unsupervised learning, classification and regression algorithms. This is a two part seminar. Prerequisites: Basic knowledge of general CS concepts such as data structures, linear algebra and design of algorithm is required. | Slides (Part I, Part II) | Recordings (Part I, Part II) |
Text Mining Description: Text mining, also known as Text Analytics is the process of deriving high-quality information from text. It is the process of examining large collections of written resources to generate new information and to transform the unstructured text into structured data for use in further analysis. In this seminar you’ll learn the basic introduction to text analysis, different steps of text analysis: gathering textual data, cleaning and preparing textual data , analyzing the data (ETL) and visualizing textual data using tools from the HathiTrust Research Center (HTRC). Prerequisites: Programming background is required. Basic knowledge of general CS concepts such as data structures, linear algebra and design of algorithms is required. | Slides | Recordings |
MATLAB Description: MATLAB is a programming platform designed specifically for engineers and scientists. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. MATLAB is easy to learn, versatile and the design of the language makes it possible to write a powerful program in a few lines. Using MATLAB, you can: Analyze data, Develop algorithms and Create models and applications. In this seminar you’ll learn the basics of MATLAB, including language fundamentals and basic programming that will help you achieve the above functionalities. Prerequisites: Programming background is beneficial but not required. | Slides |
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| Version Control with GIT | Slides |
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| Document Creation with LaTeX | Slides |
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| Using Virtualized Software at Lehigh |
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| Storage Options at Lehigh | Slides |
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| Research Data Management | Slides |
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| Enhancing Research Impact | Slides |
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Guest Seminars
- "Using Overleaf for Writing", Graduate Writing Retreat, Lehigh University, December 5, 2020
Online HPC Training
Please feel free to attend the training programs offered by other Universities and HPC centers.
Self-paced HPC Training
The HPC University (HPCU) is a virtual organization whose primary goal is to provide a cohesive, persistent, and sustainable on-line environment to share educational and training materials for a continuum of high performance computing environments that span desktop computing capabilities to the highest-end of computing facilities offered by HPC centers. Please visit the Training Roadmap for a collection of self-paced tutorials from various HPC centers on various topics ranging from basic concepts to programming and data visualization.