CHRONO: a parallel multi-physics library for rigid-body, flexible-body, and fluid dynamics
By H. Mazhar, T. Heyn, A. Pazouki, Daniel Melanz, Andrew Seidl, Aaron Bartholomew, A. Tasora, Dan Negrut. 2013
88 citations recorded by the source corpus.
Abstract. The last decade witnessed a manifest shift in the microprocessor industry towards chip designs that promote parallel computing. Until recently the privilege of a select group of large research centers, Teraflop computing is becoming a commodity owing to inexpensive GPU cards and multi to many-core x86 processors. This paradigm shift towards large scale parallel computing has been leveraged in CHRONO, a freely available C++ multi-physics simulation package. CHRONO is made up of a collection of loosely coupled components that facilitate different aspects of multi-physics modeling, simulation, and visualization. This contribution provides an overview of CHRONO::Engine, CHRONO::Flex, CHRONO::Fluid, and CHRONO::Render, which are modules that can capitalize on the processing power of hundreds of parallel processors. Problems that can be tackled in CHRONO include but are not limited to granular material dynamics, tangled large flexible structures with self contact, particulate flows, and tracked vehicle mobility. The paper presents an overview of each of these modules and illustrates through several examples the potential of this multi-physics library.
Subfields: Computational Mechanics, Control and Systems Engineering, ML Systems & Hardware, Numerical Methods & Scientific Computing
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In Computational Mechanics
- Jitendra Malik
- Angel X. Chang
- Manolis Savva
- Vladlen Koltun
- Zsolt Kira
- Dhruv Batra
- Mustafa Mukadam
- Andreas Geiger
In Control and Systems Engineering
- Manolis Savva
- Dhruv Batra
- Jitendra Malik
- Devendra Singh Chaplot
- Vladlen Koltun
- Angel X. Chang
- F. Meier
- Andrew Szot
In ML Systems & Hardware
In Numerical Methods & Scientific Computing
Citations in the corpus
- Habitat 2.0: Training Home Assistants to Rearrange their Habitat (2021, background): “PyBullet [38], MuJoCo [29], DART [39], ODE [40], PhysX/FleX [41, 42], and Chrono [43] are primarily physics engines with some level of rendering, while Magnum [44], ORRB [45], and PyRender [46] are primarily renderers.”