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Hybrid HPC and HPC as a Service
UberCloud, HPE and Intel collaboration
Case Study: Living Heart Project
Burak Yenier & Wolfgang Gentzsch
The UberCloud
Intel® HPC Developer Conference 2017
Denver, CO, November 11 – 12, 2017
2012	 2013	 2014	 2016	
Start Cloud
Experiments
(200 so far)
2015	
HPC Container
Development
CAE software
containers
Online
Marketplace
(45+ stores)
Intel - HPE - UberCloud Partnership 2012 - 2017
2017
Hybrid HPC
Living Heart
Project
Intel/UberCloud/LLNL	
LLNL	multi-container	
multi-node	project
Lessons Learned
What we learnt from 200 cloud experiments and 80 case studies
Security
PerformanceUsability
Software
Hybrid HPC Approach
Right-Sized
Infrastructure
1
End User in
Control
3
Enables New
Capabilities
4
Faster Time
to Solution
2
Example: UberCloud ANSYS Container
UberCloud ANSYS Container
Bare Metal Performance
HPE UberCloud Stack v0.0
Legacy HPC Private Cloud Public Cloud
Micro	Focus	Cloud	Service	Automation	
Micro	Focus	Operations	Orchestrator
What we learned from v0.0
•  Proved that a bare-metal HPC as a Service solution works and is
production-ready for HPE customers
•  The need for an automated HPC life cycle mgmt layer became clear
•  Hybrid HPC customers prefer interchangeable components to make
integration with existing systems easier
Hybrid Cloud
Micro	Focus	Cloud	Service	Automation	
Micro	Focus	Operations	Orchestrator	
HPE	CMU	HPC		Automated	Life	Cycle	
Management	Layer	
HPE UberCloud Stack v1.0
Hybrid HPC Workflow
•  Service Signup
•  Contact HPE and sign up for the Hybrid HPC service
•  An HPE Partner creates administrator account for Cloud Service
Automation and define service levels, security parameters
•  User and Offer Setup
•  PointNext creates user accounts for Cloud Service Automation
•  PointNext and UberCloud create the various HPC software offers
•  Self-Service Hybrid HPC
•  Users gain access to on-demand Hybrid HPC offers through Cloud
Service Automation and manage the life cycle.
HPE UberCloud Security Layers
HTTPS/VPN	Access*	
OS	Firewall	
OS	PKI	Login	
Network	&	Storage	
Segmentation	
Dedicated	Servers	in	
High	Security	Data	
Centers	
Single	tenant,	bare	metal	servers	(not	shared	between	customers).		These	
servers	reside	in	professionally	managed,	highly	secured	data	centers.	
Network	and	Storage	tiers	are	segmented	automatically.			Each	customer	
gets	a	private	HPE	CMU,	a	private	IP	range,	and	a	private	storage	volume				
Admin	access	is	protected	by	Public	Key	Encryption	(vs	passwords,	which	
can	be	guessed)	
Servers	are	protected	with	firewalls.	Only	necessary	ports	are	turned	on	to	
reduce	attacks	
Connection	to	our	servers	are	protected	by	strong	encryption	techniques	such	
as	HTTPS	and	VPN			(HTTPS/VPN	access	and	Disk	Encryption	are	optional)
Case Study: The Living Heart Project
Studying	Drug-induced	Arrhythmias	of	a										
Human	Heart	with	Abaqus	2017	in	the	Cloud
The Living Heart Project
•  Leading cardiovascular researchers, educators, medical
device developers, regulatory agencies, and practicing
cardiologists
•  Shared mission to develop and validate highly accurate
personalized digital human heart models (DHHM).
•  Models establish a unified foundation for cardiovascular
in silico medicine
•  Models serve as a common technology base for
education and training, medical device design, testing,
clinical diagnosis and regulatory science
•  Rapidly translating current and future cutting-edge
innovations directly into improved patient care.
HPCaaS Environment and Simulations
Advania / HPE / Intel / UberCloud
•  Advania’s HPC as a Service (HPCaaS) hardware configuration
•  Built upon HPE ProLiant servers XL230 Gen9
•  Each with 2x Intel Broadwell E5-2683 v4 with Intel OmniPath
interconnect
•  UberCloud HPC software containers hosting Stanford’s
workflow
•  Dassault SIMULIA Abaqus for fluid-structure interaction and
advanced electro-physiological modelling
HPCaaS Environment and Simulations
Advania / HPE / Intel / UberCloud
•  LHP model scaled well up to 240 compute cores
•  42 simulations each 40 hours on 5-node (160-core) subsystem
•  Study: drugs causing arrhythmias or not; applying drugs by
blocking different ionic currents in our cellular model, replicating
what has been observed before in cellular experiments
•  For each case, we let the heart beat naturally and see if the
arrhythmia is developing
Goal:	create	a	biventricular	finite	element	model	to	study	drug-induced	
arrhythmias	of	a	human	heart.
Simulation Results
Evolution	of	electrical	activity:	After	application	of	Quinidine,	the	electrical	propagation	
turns	chaotic,	showing	the	high	risk	of	Quinidine	to	produce	arrhythmias.
Simulation Results
Electrocardiogram	(ECG)	without	and	with	the	drug	Sotalol	
ECG	tracing	for	healthy,	baseline	case	
Arrhythmic	development	after	
applying	the	drug	Sotalol.	The	ECG	
demonstrates	that	the	arrhythmia	is	
of	Torsades	de	Pointes	type.	
Note:		These	are	simulation	results	!
Healthy case versus drug-induced case
Application	of	the	drug	Quinidine	where	we	observe	Torsades	de	Points	arrhythmia
Take Aways
•  UberCloud is part of the HPE’s HPCaaS
offering “Hybrid HPC”
•  UberCloud Containers give us a way to
solve software management problems
without performance issues
•  Able to manage and run the most complex
engineering workflows
•  Providing SaaS-like user experience and
desktop level ease of use

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Intel® HPC Developer Conference 2017

  • 1. Hybrid HPC and HPC as a Service UberCloud, HPE and Intel collaboration Case Study: Living Heart Project Burak Yenier & Wolfgang Gentzsch The UberCloud Intel® HPC Developer Conference 2017 Denver, CO, November 11 – 12, 2017
  • 2. 2012 2013 2014 2016 Start Cloud Experiments (200 so far) 2015 HPC Container Development CAE software containers Online Marketplace (45+ stores) Intel - HPE - UberCloud Partnership 2012 - 2017 2017 Hybrid HPC Living Heart Project Intel/UberCloud/LLNL LLNL multi-container multi-node project
  • 3. Lessons Learned What we learnt from 200 cloud experiments and 80 case studies Security PerformanceUsability Software
  • 4. Hybrid HPC Approach Right-Sized Infrastructure 1 End User in Control 3 Enables New Capabilities 4 Faster Time to Solution 2
  • 8. HPE UberCloud Stack v0.0 Legacy HPC Private Cloud Public Cloud Micro Focus Cloud Service Automation Micro Focus Operations Orchestrator
  • 9. What we learned from v0.0 •  Proved that a bare-metal HPC as a Service solution works and is production-ready for HPE customers •  The need for an automated HPC life cycle mgmt layer became clear •  Hybrid HPC customers prefer interchangeable components to make integration with existing systems easier
  • 11. Hybrid HPC Workflow •  Service Signup •  Contact HPE and sign up for the Hybrid HPC service •  An HPE Partner creates administrator account for Cloud Service Automation and define service levels, security parameters •  User and Offer Setup •  PointNext creates user accounts for Cloud Service Automation •  PointNext and UberCloud create the various HPC software offers •  Self-Service Hybrid HPC •  Users gain access to on-demand Hybrid HPC offers through Cloud Service Automation and manage the life cycle.
  • 12. HPE UberCloud Security Layers HTTPS/VPN Access* OS Firewall OS PKI Login Network & Storage Segmentation Dedicated Servers in High Security Data Centers Single tenant, bare metal servers (not shared between customers). These servers reside in professionally managed, highly secured data centers. Network and Storage tiers are segmented automatically. Each customer gets a private HPE CMU, a private IP range, and a private storage volume Admin access is protected by Public Key Encryption (vs passwords, which can be guessed) Servers are protected with firewalls. Only necessary ports are turned on to reduce attacks Connection to our servers are protected by strong encryption techniques such as HTTPS and VPN (HTTPS/VPN access and Disk Encryption are optional)
  • 13. Case Study: The Living Heart Project Studying Drug-induced Arrhythmias of a Human Heart with Abaqus 2017 in the Cloud
  • 14. The Living Heart Project •  Leading cardiovascular researchers, educators, medical device developers, regulatory agencies, and practicing cardiologists •  Shared mission to develop and validate highly accurate personalized digital human heart models (DHHM). •  Models establish a unified foundation for cardiovascular in silico medicine •  Models serve as a common technology base for education and training, medical device design, testing, clinical diagnosis and regulatory science •  Rapidly translating current and future cutting-edge innovations directly into improved patient care.
  • 15. HPCaaS Environment and Simulations Advania / HPE / Intel / UberCloud •  Advania’s HPC as a Service (HPCaaS) hardware configuration •  Built upon HPE ProLiant servers XL230 Gen9 •  Each with 2x Intel Broadwell E5-2683 v4 with Intel OmniPath interconnect •  UberCloud HPC software containers hosting Stanford’s workflow •  Dassault SIMULIA Abaqus for fluid-structure interaction and advanced electro-physiological modelling
  • 16. HPCaaS Environment and Simulations Advania / HPE / Intel / UberCloud •  LHP model scaled well up to 240 compute cores •  42 simulations each 40 hours on 5-node (160-core) subsystem •  Study: drugs causing arrhythmias or not; applying drugs by blocking different ionic currents in our cellular model, replicating what has been observed before in cellular experiments •  For each case, we let the heart beat naturally and see if the arrhythmia is developing Goal: create a biventricular finite element model to study drug-induced arrhythmias of a human heart.
  • 19. Healthy case versus drug-induced case Application of the drug Quinidine where we observe Torsades de Points arrhythmia
  • 20. Take Aways •  UberCloud is part of the HPE’s HPCaaS offering “Hybrid HPC” •  UberCloud Containers give us a way to solve software management problems without performance issues •  Able to manage and run the most complex engineering workflows •  Providing SaaS-like user experience and desktop level ease of use