The videos from the Summit keynotes are now available! 

Event Details

Please note: All times listed below are in Central Time Zone

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HPC using OpenStack
AI, Machine Learning, HPC

High-Performance Computing (HPC) proposes to design a Super Computer around the use of parallel processing to run advanced application programs efficiently, reliably and quickly. 

OpenStack is a set of software tools for building and managing cloud computing platforms for public and private clouds.

If you are looking for common deployment models for HPC & OpenStack, come and interact with our community and learn if other people are doing similar work and start a collaboration.

This session will be an opportunity for architects and operators pairing HPC with OpenStack to get together and discuss:

  • best practices and common deployment models 
  • pain points 
  • war stories 
  • wish lists

Specific discussion points would likely include:

  • SLURM integration 
  • Accelerators integration

Etherpad for pre-panel questions is available at https://etherpad.openstack.org/p/den19-hpc-using-openstack

Returning panel: occurred at the Sydney and Vancouver summits


What can I expect to learn?

HPC is a particular field, and the Scientific SIG has a broader scope. As such we want to give our HPC ops a chance to come and discuss in a forum, how they can help one another and grow the HPC & OpenStack community. 

Wednesday, May 1, 9:00am-9:40am (3:00pm - 3:40pm UTC)
The Colorado Convention Center - Meeting Room Level - 501/502
View video
Difficulty Level: Intermediate
Tags: Arch / Ops Technical Case Study
Martial Michel
Chief Scientific Officer
Martial has worked in the distributed computing field for 20 years, starting with designing data serialization algorithms for MPI  (his Ph.D. subject), making multimedia network streams to be used on commercial off the shelf hardware time-synchronized, implementing a job scheduling software, architecting data-driven research evaluation platforms, and lead the team the NIST team using... FULL PROFILE
Blair Bethwaite
New Zealand eScience Infrastructure
Blair has worked in distributed computing for over a decade; both in research and for research; for institutional and national projects; from applications, through grid & cloud middleware, to full HPC & cloud systems design, implementation, and operations.   Originally from Christchurch, Blair recently returned to NZ to take up the reigns of Solutions Manager of the New Zealand... FULL PROFILE
Stig Telfer
StackHPC Ltd
Stig has a background in R&D working for various prominent technology companies, particularly in HPC and software-defined networking.  Stig is now CTO for StackHPC, a consultancy specialising in the convergence of cloud, HPC and big data.  Stig is also co-chair of the OpenStack Scientific Special Interest Group, a globally-distributed grouping of research institutions using OpenStack for... FULL PROFILE
Mike Lowe
Indiana University
To be completed FULL PROFILE
Timothy Randles
Computer Scientist, Los Alamos National Laboratory
Tim is a member of Los Alamos National Laboratory's HPC division.  He works in the HPC Design group, Platforms Design team, developing next-generation HPC cluster capabilities.  His current focus is on flexible stacks. FULL PROFILE
Mike Moore
Cloud Engineer, NASA Goddard Space Flight Center
Since February 2017 Mike has been supporting NASA's Goddard Space Flight Center, as a contractor, to build and manage the Goddard Private Cloud (GPC) which is an on-premises OpenStack environment.  Prior to transferring to the NASA contract Mike worked at corporate headquarters as Director of Software Engineering. Before that he worked as a multi-hatted developer/database... FULL PROFILE
Rion Dooley
Data Machines Corp
Rion Dooley, PhD is the Director of Platform Services and Solutions at Data Machines. He came to DMC from Texas Advanced Computing Center where he spent the last decade integrating new and emerging technologies to build solutions that make it easier to conduct open, digital science. His prior projects span the areas of parallel, cloud, and distributed computing, scheduling, data management,... FULL PROFILE