Scope of PBMIS
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Science vs engineering
Online vs. offline simulation
Application driven
Research issues
A little about me…
• Doug James (Asst. prof of CS/Robotics)
• Background: Appl. Math & Comp. Science
• Research Interests:
• Data-driven simulation techniques
• Precomputation methods
• A few videos…
Simulating Large Models
Why?
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Virtual reality
Interactive computer animation
Surgical simulation; preoperative planning
Computational robotics; manipulation
Video games
Assembly planning
Scientific visualization
Education
E-commerce
Interactive Computer Animation
Haptic Interfaces
• hap·tic ('hap-tik)
adj.
Of or relating to the sense of
touch; tactile.
Glove-based Interaction
Force-feedback Rendering
Simulating Large Models
Simulating Large Models
Simulating Large Models
Reality-based Modeling
Simulation in Graphics Hardware
Surgical Simulation
EigenSkin
Hardware rendering of physical models
• TOPICS TO BE COVERED:
Depending on time and class interest we will cover topics from:
• Overview of physical simulation in graphics and interactive
applications
• Dynamical systems
• Numerical integration of ODEs
• Rigid body dynamics
• Deformable objects
• Fluids & gases
• Constraints and contact
• Collision detection
• Multiresolution modeling
• Rendering issues: graphics, haptics and acoustics
• Simulation on programmable graphics hardware
• Data-driven approaches to simulation
• Reality based measurement & inverse problems
• Other applications of physically based modeling in graphics
• TOPICS TO BE COVERED:
Depending on time and class interest we will cover topics from:
• Overview of physical simulation in graphics and interactive
applications
• Dynamical systems
• Numerical integration of ODEs
• Rigid body dynamics
• Deformable objects
• Fluids & gases
• Constraints and contact
• Collision detection
• Multiresolution modeling
• Rendering issues: graphics, haptics and acoustics
• Simulation on programmable graphics hardware
• Data-driven approaches to simulation
• Reality based measurement & inverse problems
• Other applications of physically based modeling in graphics
Computing Context
• Think about graphics/PBMIS in 10 years!
• Moore’s law: 101x
• Simulation in graphics hardware
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Teraflops within several years
“Kirk’s law”: 32000x in 10years
Parallel GPU-CPU programming model
Mini survey next class
• Focus on mathematical challenges
• Role of precomputation
• 5184000x advantage
• Problem reformulation/reparameterization
Evaluation
• Assignments
• Approx. every 2 weeks
• Project
• Majority of grade
• Short-term schedule:
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Immediately: Start researching possible project areas
Feb 18: Project proposal
Mar 18: Progress report
Apr 1:
Progress milestone
End Apr: Project due; presentations
Questionnaire
• Your chance to improve the course!