Dynamic river network simulation at large scale

Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an inter-disciplinary collaborative effort between computer engineering and hydroscience to address the computational aspect of this challenge. Although algorithmic details differ, SPRINT dra...

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Vydáno v:DAC Design Automation Conference 2012 s. 723 - 728
Hlavní autoři: Liu, Frank, Hodges, Ben R.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 03.06.2012
IEEE
Edice:ACM Conferences
Témata:
Applied computing > Physical sciences and engineering
Applied computing > Physical sciences and engineering > Mathematics and statistics
Approximation methods
Computational modeling
Computing methodologies > Modeling and simulation
Dynamic river network simulation
Equations
Integrated circuit modeling
Mathematical model
Mathematics of computing > Mathematical analysis > Numerical analysis
Rivers
Saint-Venant Equations
SPICE
SPICE
Saint-Venant equations
dynamic river network simulation
ISBN:1450311997, 9781450311991
ISSN:0738-100X
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Abstract Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an inter-disciplinary collaborative effort between computer engineering and hydroscience to address the computational aspect of this challenge. Although algorithmic details differ, SPRINT draws many design considerations from SPICE, one of the most fundamental EDA tools. Experimental results demonstrate that SPRINT is capable of simulating large river basins at over 100x faster than real time.
AbstractList Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an interdisciplinary collaborative effort between computer engineering and hydroscience to address the computational aspect of this challenge. Although algorithmic details differ, SPRINT draws many design considerations from SPICE, one of the most fundamental EDA tools. Experimental results demonstrate that SPRINT is capable of simulating large river basins at over 100× faster than real time.
Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an inter-disciplinary collaborative effort between computer engineering and hydroscience to address the computational aspect of this challenge. Although algorithmic details differ, SPRINT draws many design considerations from SPICE, one of the most fundamental EDA tools. Experimental results demonstrate that SPRINT is capable of simulating large river basins at over 100x faster than real time.
Author Hodges, Ben R.
Liu, Frank
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  surname: Hodges
  fullname: Hodges, Ben R.
  email: hodges@mail.utexas.edu
  organization: University of Texas at Austin
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Keywords SPICE
Saint-Venant equations
dynamic river network simulation
Language English
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Snippet Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an inter-disciplinary collaborative effort between...
Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an interdisciplinary collaborative effort between...
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SubjectTerms Applied computing -- Physical sciences and engineering
Applied computing -- Physical sciences and engineering -- Mathematics and statistics
Approximation methods
Computational modeling
Computing methodologies -- Modeling and simulation
Dynamic river network simulation
Equations
Integrated circuit modeling
Mathematical model
Mathematics of computing -- Mathematical analysis -- Numerical analysis
Rivers
Saint-Venant Equations
SPICE
Title Dynamic river network simulation at large scale
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