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GTC ON-DEMAND

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Abstract:
Discover techniques and algorithms to enable better-than-real-time transport network micro-simulations at city-scale and beyond. We'll discuss simulations of transport networks, which are a vital tool for planning and managing transport networks and smart cities around the globe. We will provide insight into novel algorithms and techniques that enable high-performance city-scale simulations of individual vehicles using GPU-Accelerated agent-based modeling. We'll also share results showing performance improvements of over 66X for simulations containing more than 500,000 individual vehicles when compared with a highly optimized commercial multi-core CPU-based microscopic simulator.
Discover techniques and algorithms to enable better-than-real-time transport network micro-simulations at city-scale and beyond. We'll discuss simulations of transport networks, which are a vital tool for planning and managing transport networks and smart cities around the globe. We will provide insight into novel algorithms and techniques that enable high-performance city-scale simulations of individual vehicles using GPU-Accelerated agent-based modeling. We'll also share results showing performance improvements of over 66X for simulations containing more than 500,000 individual vehicles when compared with a highly optimized commercial multi-core CPU-based microscopic simulator.  Back
 
Topics:
Performance Optimization, Autonomous Vehicles
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9387
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Abstract:
Discover how GPUs are being used to accelerate predictive simulations used in transport system planning and management to help alleviate the global increase in transport demand. We'll discuss the role of predictive, high-performance micro-simulations in transport management and provide insight into the development process and benchmark performance of agent-based transport models developed using FLAME GPU. We'll also describe the lessons learned in creating a virtual reality experience of real-time crowd simulation using an omnidirectional treadmill for urban planning.
Discover how GPUs are being used to accelerate predictive simulations used in transport system planning and management to help alleviate the global increase in transport demand. We'll discuss the role of predictive, high-performance micro-simulations in transport management and provide insight into the development process and benchmark performance of agent-based transport models developed using FLAME GPU. We'll also describe the lessons learned in creating a virtual reality experience of real-time crowd simulation using an omnidirectional treadmill for urban planning.  Back
 
Topics:
Virtual Reality & Augmented Reality, Real-Time Graphics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6404
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Abstract:
Discover how GPUs are being used to accelerate predictive simulations used in transport system planning and management to alleviate the global increase in transport demand. We highlight the role of predictive, high-performance micro-simulations in transport system management and provide insight into the development process and benchmark performance of agent-based transport models developed using FLAME GPU, including the creation of a populated virtual reality environment using an omnidirectional treadmill.
Discover how GPUs are being used to accelerate predictive simulations used in transport system planning and management to alleviate the global increase in transport demand. We highlight the role of predictive, high-performance micro-simulations in transport system management and provide insight into the development process and benchmark performance of agent-based transport models developed using FLAME GPU, including the creation of a populated virtual reality environment using an omnidirectional treadmill.  Back
 
Topics:
Virtual Reality & Augmented Reality
Type:
Poster
Event:
GTC Silicon Valley
Year:
2016
Session ID:
P6203
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