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. 

Globus will be hosting a virtual office hours on Nov 30th at 10 a.m. CST. This office hours is scheduled to support users who are migrating  from Globus Connect Server v4 to v5. Our team will be available to answer general questions on the transition and migration tooling in advance of the discontinuation of Globus Connect Server v4, which will occur on December 18, 2023.

This short course (2.5 hours) introduces researchers to simulated quantum annealing using the ACES cluster, a composable accelerator test-bed at Texas A&M University. 

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 virtual workshop will cover the Intel AI Analytics Toolkit, oneAPI Data Analytics Library (oneDAL) and the Deep Neural Network Library (oneDNN) as part of the oneAPI training series. Details on each topic are below.

Registration via Teams is required to attend.

Introduction to CryoSPARC for Cryo-EM Data Processing in Collaboration with the Laboratory for Biomolecular Structure and Dynamics.

This short course (2.5 hours) will cover aspects of using CryoSPARC on the ACES cluster including a demonstration with example image files.

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

This short course (2.5 hours) provides an overview of Intel PVC GPUs, guidance on accessing these GPUs on the ACES computing cluster at Texas A&M High Performance Research Computing, demonstrations of running AI/ML models with the GPUs using PyTorch and Tensorflow, and demonstrations of molecular dynamics using LAMMPS. 

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

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 

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.