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A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems
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A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems

F. Rizzi
E. Parish
P. Blonigan
John Tencer
ArXiv (abs)PDFHTML

Papers citing "A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems"

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Title
Learning physics-based reduced-order models for a single-injector combustion process
Learning physics-based reduced-order models for a single-injector combustion process
Renee C. Swischuk
Boris Kramer
Cheng Huang
Karen E. Willcox
AI4CE
35
98
0
09 Aug 2019
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
237
4,644
0
16 Apr 2017