This workshop will cover the Agave cluster configuration, batch and interactive access, and available software packages. Access has been greatly simplified with Open OnDemand, a browser-based portal to Agave supporting command-line shell, drag and drop file transfer, job submission, and RStudio and Jupyter interfaces. A sample of applications run on the system will demonstrate the variety of computational research Agave supports, including new GPU acceleration capability.

In preparation for the workshop, all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account.

This workshop will cover the Agave cluster configuration, batch and interactive access, and available software packages. Access has been greatly simplified with Open OnDemand, a browser-based portal to Agave supporting command-line shell, drag and drop file transfer, job submission, and RStudio and Jupyter interfaces. A sample of applications run on the system will demonstrate the variety of computational research Agave supports, including new GPU acceleration capability.

In preparation for the workshop, all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

This workshop will focus on approaches to porting R applications to a cluster environment such as that of ASU's Agave cluster. This is not an intro to R course. The intended audience member will have developed R code that runs on a desktop machine but now would like to run this code in a parallel environment. This may be implemented through either:

1) Batch submission of multiple single-threaded instances (e.g. parameter sweep and SLURM Job Arrays)

2) Multithreading R files using "doParallel" and “foreach” packages

3) Exploiting R functions ported to GPU

4) Implementing batchtools

5) Confronting large datasets using distributed arrays

In preparation for the workshop, all attendees are encouraged to obtain an account on Agave if they do not already have one: https://cores.research.asu.edu/research-computing/get-started/create-an-account

Learn how Dr. Efrim Lim from ASU's Biodesign Center for Fundamental and Applied Microbiomics used Research Computing’s advanced computational resources to perform genomics analysis of SARS-CoV-2 virus to reveal a timeline for the spread of COVID-19 infections in Arizona. Read the full story.

This talk will cover the Agave cluster configuration, batch and interactive access, and available software packages.  Access has been greatly simplified with Open OnDemand, a browser-based portal to Agave supporting command-line shell, drag and drop file transfer, job submission, and RStudio and Jupyter interfaces.  A sample of applications run on the system will demonstrate the variety of computational research Agave supports, including new GPU acceleration capability.