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Virtual Human Brain Simulations
with Abaqus in the Cloud
Presenters
Karl D’Souza
Dassault Systemes
Director, Life Sciences Industry Solutions
Ægir Rafn Magnússon
Advania Data Centers
Business Development Director
Ebru Taylak
UberCloud
Marketing Manager
UberCloud
Over 200+ UberCloud Experiments,
4000+ community members
Sponsors Recognized with Prestigious Industry Awards
HPC for Everyone!
Neuromodulation
of Brain Project
UberCloud CAE Platform
UberCloud Cloud Compute Environment
Easy to use, instant access to Abaqus and CST
simulations in the cloud:
• latest, best in class hardware on demand
• software pre-installed, configured & tested
• ongoing support
UberCloud CAE Software
Container Technology
Abaqus
CST
SupportSoftwareHardware
Full Solution for Simulation in the Cloud
CONFIDENCE IN ANALYSIS
FASTER DEVELOPMENT CYCLE
COLLABORATE EFFECTIVELY
UNLOCK NEW CAPABILTIES
UberCloud brings many benefits
for scientists and engineers
Brain Neuromodulation Project
Winner of 2018 Hyperion Innovation Excellence Award!
UberCloud - Cloud CAE Platform
HPC CLOUD
Advania Data Centers
UberCloud Software
Container
Abaqus + Tools
seamless access
for the end user
Abaqus + Tools
Advania Data
Centers
HPC Services & Solutions
Focus
50+ Employees
Team of Experts
SMB‘s to Global
Enterprise Customers
High Performance
Services & Solutions
A High Performance
Computing company
HYBRID HPC
360° High Performance Computing
1st
Center of
Excellence
dedicated to
We support various workloads
Deep
Learning
Artificial
Intelligence
Data
Processing
Blockchain Computer-Aided Design
Computer-Aided Engineering
Financial
Technology
Video On
Demand
Autonomous
Vehicles
Smart
Home
Online
Gaming
Healthcare
Technology
Cloud
Services
E-commerce
Early Days Maturity Mature
TECHNOLO
GYINDUSTRY
what is it?
1 Server 100 Hours 100 Server 1 Hour
=
Purpose built HPC
clusters
≠ IaaS traditional Cloud providers
JBOC offerings (Just a bunch of Cores)
HPCFLOW means Elastic HPC
No More fixed Capacity!
Predictable Cost of Operations
No more operational surprises!
Focus on your competitive edge
No more “zero value” operations!
Why
Flexible Cluster
Quarter 1 Quarter 2 Quarter 3 Quarter 4 Quarter 5 Quarter 6
• HPCFLOW solid
Dedicated Cluster
• Commited Base Capacity
• Base capacity reviewed quarterly or every 6 months
• HPCFLOW flex
Reserved Extra Capacity
• 20-50% based on need
• 100% Cluster Utilization
• Payment options available
• Monthly OPEX
• Upfront CAPEX
Actual
Consumtion
Additional Capacity
Pure On Demand
2 2
5
1
10
3
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0
5
10
15
20
25
Month 1 Month 2 Month 3 Month 4 Month 5 Month 6
• HPCFLOW flex
On demand HPC
• Pay as you go
• Hourly
• Monthly
• Per Project
• Variable workload friendly
• Self service HPC
• Bare Metal
• Virtual Macines
• Automation Available
• Restful API‘s
• Infrastructure Scripts Available
• HPC Engineering Support Available
• Setup & Architecture
• Performance monitoring & tuning
• HPC Operational Support
• End user support
Additional Capacity
On Demand HPC
ADC provided Flexible HPC on Demand for efficient execution
Performance Tuning
ADC‘s HPC Engineers provide Performance Tuning support for max performance
Workload Architechture & Optimization
Setup and configuration of HPC cluster prior to the setup and operational start of the workload
Full HPC Stack Engineering Support
The ADC HPC Support team provided operational support in collaboration with Ubercloud and Dassault
Our contribution
Benchmark Program
Apply at:
advaniadc.com/benchmark/
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DSCorporatePresentation2016
2
Dassault Systemes
a Scientific
company
Combining Science,
Technology and Art for a
sustainable society
16,000
passionate people
• 130 nationalities / 179 sites
• One global R&D / 64 labs
• Game changing 3DEXPERIENCE
solutions
220,000 enterprise
customers
• 12 industries in 140 countries
• 25 million users
12,600
partners
• Software, Technology &
Architecture
• Content & Online Services
• Sales
• Consulting & System
Integrators
• Education
• Research
Long-term
driven
• Majority shareholder control
• Revenue: €3,242 million*
• Operating margin: 32%*
* Figures as of FY 2017 / Non-IFRS
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DSCorporatePresentation2016
3
Simulation in Life Sciences
Combination Products
- Pre-filled Syringes
- Metered-dose Inhalers
- Transdermal Patches
- Drug-Eluting Stents
Dental Implants
Hearing Aids
Brain Injury
Cardiovascular Implants
MRI Safety
Orthopedic Implants
4
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
Background: Neuromodulation
q Neural activity ~ number of action potentials
fired per unit time
q Some mental disorders cause increased or
decreased neural activity in specific brain
regions
q Leads to abnormal cognitive function
associated with those regions
q Clinical interventions to restore/improve neural
activity
q Behavioral therapy (psychological)
q Chemical therapy (pharmacological)
q Electrical therapy (neuromodulation)
5
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
Background: Neuromodulation
6
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
Transcranial Electrical Stimulation (tES)
q Form of brain stimulation
q Noninvasive
q Non-convulsive
q tDCS, tACS, tRNS
q Delivers low doses of electrical current
q Patient is conscious
q Minimal discomfort
q Modulates spontaneous neuronal activity
q Neurons become more or less likely to fire
q Does not trigger action potentials (sub-threshold excitation)
q Longer application duration => longer lasting effect
Schematic of tES modalities [Yavari 2017]
7
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Clinical Applications
q Neurological disorders
q Stroke recovery
q Parkinson’s Disease
q Chronic pain
q Psychiatric disorders
q Depression
q Hunger Cravings
q Schizophrenia
8
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Motivation for Computational Modeling
q Conventional Method:
q Predefined criteria used to select electrode placement and dosage
q Not patient-specific
q No quantitative/rigorous metrics to evaluate outcome efficacy
q Difficult to correlate input parameters with treatment outcomes
q Computational Method:
q Predicts current distribution with high resolution
q Patient-specific and quantifiable
q Facilitates parameter sensitivity analyses and montage variations
q Clinician can devise the most effective treatment protocol for specific patient
9
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Personalized Modeling
*Image to Mesh using Simpleware ScanIP
10
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Personalized Modeling
International 10/10 Convention
showing Anode AF3 (red) and Cathode
CP5 (blue)
Subject-specific Models (Left: Responder; Right:
Non-responder)
11
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Personalized Modeling
FE Model Regions and Conductivities
12
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tDCS: Personalized Modeling
EPG Magnitude on Exterior Surface of GM for Both Subjects
13
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tACS with Temporal Interference (TI): Hypothesis
Temporal Interference in tACS [Grossman 2017]
14
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tACS: Optimization for Patient-specific Treatment
Selected Results of Subject-specific TI-tACS Simulations
15
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
tACS: Optimization for Patient-specific Treatment
q Two-step Methodology to Optimize Subject-specific tACS Treatment
q Cloud computation: 25min per model on 128 CPUs on UberCloud
q 16 electrode locations per patient
16
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
Computational Workflow for Personalized Neuromodulation
*Image to Mesh using Simpleware ScanIP
17
3DS.COM©DassaultSystèmes|ConfidentialInformation|3/4/19|ref.:3DS_Document_2013
Conclusion
q Summary of Current Effort
q Developed and demonstrated a clinical workflow for
personalized neuromodulation
q 2-step optimization of patient-specific treatment
q Future Work
q More research into tDCS/tACS protocols
q Extend computational framework to include model-
based and data-driven approaches
q Model-based: 3D patient-specific physics-based
simulation
q Data-driven: Augment models with ML to include
genetic, clinical, biometric, behavioral, and
environmental information
Contact Us!
help@theubercloud.com - https://www.theubercloud.com
Combining Abaqus simulation capability and Advania Data Centers powerful
HPC cloud hardware in UberCloud’s Cloud CAE Platform provided clinical
researchers:
• A seamless solution to run and manage the most complex problems and
workflows in the cloud
• The necessary boost in their simulation performance enabling innovation
and development of new clinical treatment methodology
HPC for Everyone!

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