Past Events

Learn how to get started with Globus. See how easy it is to get your data to and from ACCESS resources (a few megabytes to tens of terabytes at a time) and why over 1,600 campuses and research organizations offer Globus services for managing research data. Learn how to move data between your campus and ACCESS systems, how to schedule recurring transfers and synchronization tasks, and how to share your data on an ACCESS system with your collaborators at multiple institutions.

This short course covers basic topics in numerical computation and scientific programming using the Julia programming language. Topics include basic language elements and concepts, programming best practice, and relevant open source tools. This is a basic to intermediate level course.

More information about this short course at https://hprc.tamu.edu/training/aces_julia.html

This short course introduces concepts of metagenomics analysis based on data generated by Next Generation Sequencing (NGS) technology.

More information about this short course at https://hprc.tamu.edu/training/aces_metagenomics.html

Managing data efficiently on a supercomputer is very important from both the users' and system's perspectives. Users need to be aware of various data storage and management mechanisms, in addition to their impact on application and system performance. In this webinar, we will cover a few basic data management techniques and I/O best practices in the context of the Expanse system at SDSC. We will learn about the file systems that are part of Expanse and discuss the pros and cons of using these file systems in terms of I/O performance, storage capacity, shared access, and backup.

Many times, researchers couldn't convert their research models into Software Applications. This is the place where RevFrame comes into the Picture. In this Short Course, you get to know how to use RevFrame, a Framework that is designed to assist ML/AI/NLP researchers to effortlessly convert their models into web applications. This is a basic to intermediate-level course.

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop, sponsored by ACCESS. 

This workshop will focus on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow.

This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.  The satellite site list(subject to change) is as follows:

This short course is an introduction to Clara Parabricks, a software suite that allows users to perform secondary analysis of next generation sequencing DNA and RNA data. The software incorporated into Clara Parabricks has been optimized to run on GPUs, drastically increasing the speed at which common NGS analyses and tasks can be completed.

More information about this Short Course https://hprc.tamu.edu/training/aces_parabrick.html

This short course covers basic to intermediate level topics with live illustrations and hands-on exercises using the Jupyter notebook web application.

The Neocortex team is pleased to announce the Neocortex Spring 2023 Call for Proposals (NeocortexSpring2023CFP). Neocortex is an NSF-funded supercomputer that features Cerebras accelerators and an HPE Superdome Flex server designed to radically speed up AI and HPC research. The mission of Neocortex is to characterize the strengths and limitations of these promising hardware technologies.

This short course covers basic topics in CUDA programming on NVIDIA GPUs. Topics include

• CUDA architecture
• basic language usage of CUDA C/C++
• writing, executing CUDA code.

More information about this Short Course https://hprc.tamu.edu/training/intro_cuda.html

This webinar covers the basics of connecting to Anvil, managing the user environment, running jobs, and data management. Knowledge of basic UNIX commands and submitting batch jobs to a cluster will be helpful.

Topics Overview:

• Anvil system architecture including node types, storage, interconnects, and networking.
• Getting started with accounts and allocations
• Compilation and programming environment on Anvil
• Running Jobs on Anvil
• Data management and transfer on Anvil
• Q&A

This technology lab (a hands-on short course) contains a set of four sessions to help a new user start with machine learning projects on ACES and FASTER supercomputers at the Texas A&M High Performance Research Computing. You will learn how to load modules with jupyter lmod extension, manipulate and visualize data with Pandas and Matplotlib, use Scikit-learn for linear regression and classification applications and use Keras to create and train a simple image classification model with deep neural networks (DNN).

This short course includes introduction to Graphcore IPU, demonstration to run models of different frameworks on IPU system, and conversion of TensorFlow and PyTorch code to IPU code.

More information about this short course at https://hprc.tamu.edu/training/aces_ipus.html

Most high-performance computing (HPC) systems are specialized resources in high demand and shared simultaneously by many researchers across all domains of science, engineering, and beyond. In order to fairly distribute and share the compute resources of an HPC system among these researchers, which have varying compute demand profiles over time, most computational workloads on these systems are executed as batch jobs --- prescripted sets of commands that are executed on a certain type or set of compute resources for a given amount of time.

The AI bootcamp will provide a common foundation in AI methods and technology for professionals in a wide range of roles supporting the research computing and data needs for an organization.  The bootcamp is being offered virtually, meeting for two 2-hour sessions each week, 8 sessions in February and March with optional python refresher sessions (Feb 14 & 16) before the start of the bootcamp. AI topics will be taught by experts from the Computer Science and Engineering Department at The Ohio State University.  

Dates:  Feb 14 – Mar 21

This technology lab (a hands-on short course) guides the student though activities to get started with container projects using Charliecloud software suite. This course will provide participants hands-on experience to use basic Charliecloud containers for HPC applications. We’ll dive deeper into the use of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Participants will build toy containers and real HPC applications, and then run them in parallel on a cluster. This will be a highly interactive workshop with lots of Q&A.

This tutorial (hands-on short course) introduces the use of Containers using the Charliecloud software suite. This course will provide participants with background and hands-on experience to use basic Charliecloud containers for HPC applications. We will discuss what containers are, why they matter for HPC, and how they work. We’ll give an overview of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Participants will build toy containers and real HPC applications, and then run them in parallel on a cluster.

This Short Course (2.5 hours) covers various job scheduling approaches using the Slurm Workload Manager on ACES and FASTER Resources.

More information about this Short Course at https://hprc.tamu.edu/training/aces_slurm.html

Introduction to research computing on the composable ACES and FASTER clusters. This course will provide an overview of the composable technology and advanced accelerators available on ACES and FASTER.

More information about this Short Course at https://hprc.tamu.edu/training/aces_intro.html