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HPC: a Paradigm for HPC: a Paradigm for the ANSYS Softwarethe ANSYS Software
Michel RochetteMichel RochetteR&D DirectorR&D Director
Higher productivity, improved insight, and faster development of better products
Parallel Performance for Higher-Fidelity Simulation Higher Fidelity Simulation
• More complete models– From single blade passage to full 360– Computational workload increases by 90xp y– Turnaround time maintained at ~7 hours
• ANSYS CFX parallel 90 process
• More complex physics• More complex physics– From steady “RANS” model to unsteady “LES”– Computational workload increases by >100x– File I/O time also increases significantly– Turnaround time maintained at ~8 hours
• ANSYS FLUENT Parallel 256 processANSYS FLUENT Parallel 256 process
• ANSYS 12 0 development included a major investment inANSYS 12.0 development included a major investment in HPC:
• Focus on processor and platform optimization– Optimized for the latest multicore chips– Support for clusters running Linux and Windows HPC Server 2008
• Outstanding parallel scaling improvementsOutsta d g pa a e sca g p o e e ts• Linear performance out to 1000’s of cores (Fluids)• Teraflop performance and scaling to 512 core (Mechanical)
S t f ll l I/O• Support for parallel I/O• Support for “billion” scale simulations
“ANSYS has consistently focused software design on the full range of computing platforms ― from desktop to supercomputer ― with their technology yielding great performance on the latest high-performance computing (HPC) solutions. This ensures that our mutual customers can tackle ever more complex and high-fidelity simulations while still achieving
• Healthcare expenses in North Americap– In 2007, healthcare spending in the U.S. reached $2.3 trillion. It is
projected to reach $4.2 trillion by 2016.I 2005 th U S t 16% f it d ti d t (GDP)– In 2005, the U.S. spent 16% of its gross domestic product (GDP) on healthcare.
g y– VPH (virtual physiological human) Contours of oxygen concentration plotted on
vertical planes inside incubator
Courtesy Silesian University of Technology.
Maturity of Engineering Simulation TechnologySimulation Technology
• Existing medical imaging techniques to provide accurate g g g q ppatient specific morphology (0.1 mm)
• The newest techniques (ultrasound elastography, MRI) will id di l t d l iti ( bl tprovide displacements and velocities (comparable to our
simulation results)• Robustness and speed for fluid flow and structural analysisRobustness and speed for fluid flow and structural analysis• Major progress in CAD import and meshing
– Automatic process flow from medical imaging to clinician p g ginterpretation of simulation results
• Access to living tissues material properties • Valuable clinical demonstrations using ANSYS software suite
• To use existing simulation software on patient g pspecific organs, bones, tissues, arteries …in order to “predict” a specific biomedical behavior p p
• This simulation, based on the combination of bio-imaging and simulation technologies will help theimaging and simulation technologies, will help the clinicians for diagnosis or surgery planning
• Patient specific simulation for diagnosis and surgeryp g g y– Collaborative Development with Labs and Clinicians to develop the vertical
application – Integration of medical images and engineering simulation for patient specificIntegration of medical images and engineering simulation for patient specific
clinical applications– Multiscale simulation: protein, cell, tissue, organ, body, population
• Coupling between lower and upper scales• Coupling between lower and upper scales
– Accurate engineering simulation on patient data to be computed in a reasonable time
• Some applications require quasi real time (per op surgery)• Some applications require quasi real time (per-op surgery)
– Database of simulation results taking into account the human variability• Huge design of experiments
N t ti f di l i i i i l ti• Next generation of medical imaging using simulation technologies– 4D images (US, MRI) will be filtered using model motion and morphing
• Aneurysm prevalence is between 2% and 4%.In US 12 millions people have aneurysm– In US 12 millions people have aneurysm
• The incidence (risk of rupture) is 10/100,000 per yearThis risk co ld be pre ented sing endo asc lar• This risk could be prevented using endovascular surgery (stent)
This surgery is expensive and risky (2 to 5%)– This surgery is expensive and risky (2 to 5%)
• Today a cerebral aneurysm is considered as a virtualToday a cerebral aneurysm is considered as a virtual time bomb in your head
• Hemodynamics (blood flow) governs the pathology• Hemodynamics (blood flow) governs the pathology from the initiation to the growth and rupture
Aneurysm risk assessment only based on morphology• Aneurysm risk assessment only based on morphology
• The decision for surgery is based on simple criteria b i d h li i l i f iabout aneurysm size and other clinical information– E.g. Cerebral Aneurysms beyond 5mm are treated;
• Even if an existing cerebral aneurysm has a statistical risk around 1% it is a wise decision to treat it through
• OP fractures kill as many women as breast ycancer.
• 30 to 50% of all women and 15 to 30% of all• 30 to 50% of all women and 15 to 30% of all men will face an osteoporotic fracture in their lifetimelifetime.
• 4,000,000 fractures every year cost Europe €30,000,000,000.
• Forcast to double by 2050.Forcast to double by 2050.• 250,000 elders will dies of related
complications within 12 month; all others will remain impaired.
Not enough technology
• The technology in current clinicalThe technology in current clinical practice is clearly insufficient.
• The accuracy in predicting• The accuracy in predicting fractures is as low as 60%.E if th d t• Even if we see the drugs are not working we wait for the fracture,
• Bone physiology is as complex as any other organ
• But the biomechanics of bone fracture is in itself a purely ymechanical event.
• This is one of the few domainsThis is one of the few domains where organ-level models already achieve predictivealready achieve predictive accuracies of over 90%
• P2 medicine: the VPHOP project will make possible Predictive and Personalised (P2) medicine for osteoporosis– Predictive: multiscale models representing the
skeletal mechanobiology from the whole body down to the molecular constituents, simulate the skeletalthe molecular constituents, simulate the skeletal loading in various conditions and predict if the bones will fracture in each of them
– Personalised: The multiscale model is personalised using specific patient information. The more available information, the more personalised the modelinformation, the more personalised the model becomes
• Multiscale Simulation• Multiscale Simulation– Computation of the risk of femoral or vertebral fracture– Simulation taking into account the microstructure and cell level g
remodelling– Several hundreds millions of cells on a huge cluster (5000 cores
in CINECA cluster)in CINECA cluster)
• Interventional treatment planning– Predicting the most clinical location within each bone– Predicting the most clinical location within each bone – Predicting the changes in risk due to interventional augmentation– HPC requirements for the compatibility of clinical practice
• HPC is strategic for Computer Aided Engineering:g p g g– To consider more detailed models (size x100)– To consider more complex physics p p y– To consider parametric modeling and design of
experiments• Extreme scalability demonstrated on thousands of
cores for CFD• Extreme scalability for structural is the current step• These HPC innovations will open new applications in
personalized medicine• A new era for health technologies