This document discusses using high performance computing (HPC) capabilities in the cloud for simulation and analytics. It defines HPC as allowing for solving complex problems through massively parallel simulations, but notes it is expensive and knowledge-intensive. Cloud computing allows scaling resources on demand and paying only for what is used, but was traditionally not suited for HPC. The document outlines challenges of integrating HPC and cloud capabilities and provides three examples of application experiments, including using cloud-based design to increase renewable energy production, predicting drug targets and side effects in medicine, and optimizing microchip placement to free up space on a chip.

1. HPC cloud-based simulation and analytics
I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
Prof. Dr. André Stork
TU Darmstadt
Fraunhofer IGD
CloudFlow Co-ordinator

2. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
HPC – what is it?
 High Performance Computing
 allows
 solving complex problems
 simulating advanced physics
 running many simulations
in parallel (e.g. optimization)
 is
 expensive
 knowledge-intensive
 fast, when used correctly
HPC cloud-based simulation and analytics

3. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
Cloud Computing – what is it?
 Cloud Computing
 allows
 access anytime, anywhere
 scaling resources on-demand
 paying only for what is used
 is
 traditionally used for data-intensive tasks
 typically not tailored for massively parallel HPC
 supposed to be user-friendly
HPC cloud-based simulation and analytics

4. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
HPC and Cloud
 Challenges remaining
 know-how provision
 expertise in simulation software and
physical task to be simulated
 software licensing
 pay-per-use models
 integration of HPC & Cloud
 different history & foci
 3D interaction
 web-based modelling,
pre- and post-processing
HPC cloud-based simulation and analytics

5. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
3 example projects (aka application experiments)
HPC cloud-based simulation and analytics

6. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
Cloud-based design of hydraulic turbine
(Enginsoft)
 Goals
 increase renewable energy exploitation
 increase the SME market share globally
(emerging countries)
 Results
 10% simulation time reduction
 50% time to market reduction
 24% reduction on investment costs over 2 years
 Income of 1.5 M€ per year per plant (1 MW)
 2 additional plants per year
An efficient design is one of the key ingredients for
a SME to gain a competitive edge on the market.
HPC cloud-based simulation and analytics

7. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
Calculating medicine
(Transinsight)
 Goals
 predict novel drug targets
 predict positive and negative side effects
 predict novel drugs
 Results
 10% revenue increase predicted
Simply being able to do things which were
not possible before!
HPC cloud-based simulation and analytics

8. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
Electronic Modelling of Microchips on Cloud
(Helic)
 Goals
 free-up space on a chip by placement optimization
 use of freed space for new on-chip components
 reduce chip de-risking time
 broaden the market
 Results
 freed 5% of the chip area
 introduced interfacing electronics
 positive environmental impact
HELIC’s SaaS target market: SMEs and Freelancers
~$600k in 2-3 years from traction and 3-4 new recruits
HPC cloud-based simulation and analytics

9. I4MS 2016: FOSTERING DIGITAL INDUSTRIAL INNOVATION IN EUROPE · 23rd and 24th of June – Amsterdam
The stage is yours …
HPC cloud-based simulation and analytics