Past Events

This virtual workshop will cover the Intel VTune Profiler, Intel Advisor, and Intel Distribution for GDB as part of the oneAPI training series. Details on each topic are below.

Registration via Teams is required to attend.

Hosted by the community, tips and tricks webinars share best practices of all things Open OnDemand. They take place on the first Thursday of every month at 1 p.m. ET.  Recordings of previous events are available on the Open OnDemand website. 

This workshop will go into the different ways python packages can be managed in a cluster environment using conda and python virtual environments both in batch mode from the command line and with Jupyter Notebooks and Jupyter Lab on the cluster. The examples will be run on the GMU HOPPER Cluster. 

Introduction to NVIDIA Parabricks, a software suite that allows users to perform secondary analysis of next generation sequencing DNA and RNA data. The software incorporated into NVIDIA Parabricks has been optimized to run on GPUs, drastically increasing the speed at which common NGS analyses and tasks can be completed. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. 

Read more at https://hprc.tamu.edu/training/aces_parabrick.html 

This short course covers concepts of RNA-seq data analysis for differential expression, including quality control, reference-based read alignment, utilization of DESeq2, and data visualization in R.  Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. 

Read more at https://hprc.tamu.edu/training/aces_rnaseq.html 

Science gateways are end-to-end solutions with easy-to-use interfaces enabling the application of complex research infrastructures such as computing and data infrastructures, instruments, and other domain-specific resources to support research and education. Science Gateways are also called research portals, virtual research environments, eScience, virtual labs, eResearch, digital repositories, or research cyberinfrastructure. 

This webinar provides a brief introduction to massively parallel computing with graphics processing units (GPUs) on the SDSC Expanse supercomputer. The use of GPUs is popular across all scientific domains both for traditional simulations and AI applications since GPUs can significantly accelerate time to solution for many data parallel computational tasks. In this webinar, participants will learn how to access Expanse GPU nodes, how to launch GPU jobs on Expanse, and get introduced to GPU programming.

This virtual workshop will cover the Intel Math Kernel Library (MKL), Collective Communication Library (oneCCL) and the MPI Library as part of the oneAPI training series. Details on each topic are below.

Registration via Teams is required to attend.

This virtual workshop will introduce Quantum Computing (QC) and IBM Qiskit, explain why QC can solve seemingly impossible problems, and show examples of QC applications in Quantum Simulations, Optimization, and Machine Learning.

This short course covers basic topics in numerical computation and scientific programming using the Julia programming language. Topics include basic language elements and concepts, best practices in programming, and relevant open source tools. This is an introductory course. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. 

Read more 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. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. 

Read more at https://hprc.tamu.edu/training/aces_metagenomics.html 

This virtual workshop will provide an overview of SYCL programming as well as the Intel C++, DPC++, and Fortran Compilers as part of the oneAPI training series. Details on each topic are below.

Registration via Teams is required to attend.

SYCL

PSC is pleased to present monthly workshops sponsored by ACCESS on a variety of HPC topics.   Each workshop will be telecast to multiple satellite sites.

This workshop is intended to give C and Fortran programmers a hands-on introduction to MPI programming. Both days are compact, to accommodate multiple time zones, but packed with useful information and lab exercises. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing. 

This course introduces the use of containers for scientific workflows using the Singularity container engine. Exercises will be performed using the ACES cluster, a composable accelerator testbed at Texas A&M University. 

Read more at https://hprc.tamu.edu/training/aces_containers_scientific.html 

This virtual workshop will introduce attendees to various strategies available for establishing and managing their scientific workflows. Attendees should have some knowledge of Linux prior to attending as well as basic knowledge of how to submit a batch job in Slurm (resources available on the RCAC training page). Topics covered will include the following:

Meet with the Open OnDemand project team at this informal monthly meeting! All topics are welcome, and team members will drop into a breakout session with you to cover site-specific issues if needed.

This course introduces concepts of containers and covers common containerization tasks using the Charliecloud and Singularity container engines on the ACES cluster, a composable accelerator testbed at Texas A&M University.

Read more about the course at https://hprc.tamu.edu/training/aces_container_fundamentals.html 

Hosted by the community, tips and tricks webinars share best practices of all things Open OnDemand. They take place on the first Thursday of every month at 1 p.m. ET.  Recordings of previous events are available on the Open OnDemand website. 

This short course introduces researchers to Graphcore IPUs on the ACES cluster, a composable accelerator testbed at Texas A&M University. Topics include demonstrations 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

Accelerating AI/ML Workflows on a Composable Cyberinfrastructure