First published on MSDN on May 03, 2017

Azure provides on-demand compute resources that enable you to run large parallel and batch compute jobs in the cloud. Extend your on-premises HPC cluster to the cloud when you need more capacity, or run work entirely in Azure. Scale easily and take advantage of advanced networking features such as RDMA to run true HPC applications using MPI to get the results you want when you need them.

A Deep Dive Workshop into HPC and Azure at University of Oxford

10.00am – 4.00pm, 13 th June 2017

Speakers for the Deep Dive

Speaking at the Deep Dive will be leading HPC and Azure experts:

Thomas Varlet –Architect For Big Compute (Microsoft)

Mike Kiernan –HPC Specialist (Microsoft)

Dennis Mulder –HPC Storage Specialist (Microsoft

Kenji Takeda –Microsoft Research Cambridge (Microsoft)

What will you learn?

✓ How to accelerate innovation

✓ Gain powerful insight from your data

✓ Where to free up resources and optimise operations

✓ Challenges faced in the market

✓ Ways Azure is tackling these challenges

Workshop Agenda

10:00 Registration with tea and biscuits

10:15 Higher Education challenges and goals

10:45 How is HPC in Azure tackling these challenges

12:15 Lunch

13:00 Live walkthrough & demonstration

15:00 Break

15:15 Q&A with industry experts

16:00 Summary and close


Contact think S3 on 0845 686 0530 to book

or visit

or via email

More Resources

Why HPC in Research

Getting Started

Run OpenFoam with Microsoft HPC Pack on a Linux RDMA cluster in Azure

Run STAR-CCM+ with Microsoft HPC Pack on a Linux RDMA cluster in Azure

STAR-CCM+ v10 integrated engineering simulation software on Microsoft Azure gives you the additional compute power you need to solve your complex simulations. ...

Azure & Slurm

Hopefully one of the scenarios outlined above fits what you are trying to do.

Tags Academic Azure Cloud Cloud Computing Faculty HPC Research Student Students