Full description
Escript is a programming tool for implementing mathematical models in python using the finite element method (FEM). As users do not access the data structures it is very easy to use and scripts can run on desktop computers as well as highly parallel supercomputer without changes. Application areas for escript include earth mantle convection, geophysical inversion, earthquakes, porous media flow, reactive transport, plate subduction, erosion, and tsunamis.Issued: 2015
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Combining numerical and symbolic computing in Python
local : UQ:265214
Gross, L., Altinay, C., Fenwick, J. and Gao, L. (2012). Combining numerical and symbolic computing in Python. European Geosciences Union General Assembly 2012, Vienna, Austria, 22 – 27 April 2012. Gottingen, Germany: Copernicus Publications.
Hybrid parallelism in EScript for demanding simulations
local : UQ:237675
Fenwick, Joel, Mohajeri, Arash, Gross, Lutz and Muhlhaus, Hans (2010). Hybrid parallelism in EScript for demanding simulations. IEEE International Conference on e-Science, Brisbane, Qld, Australia, 7-10 December 2010. Piscataway NJ, U.S.A.: IEEE - Computer Society.
A comparison of clusters with Intel "Nehalem" and "Harpertown" processors using an FEM Benchmark
local : UQ:237678
Gross, Lutz, Fenwick, Joel, Gao, Lin and Green, David (2010). A comparison of clusters with Intel "Nehalem" and "Harpertown" processors using an FEM Benchmark. 4th eResearch Australasia Conference, Gold Coast, Qld., Australia, 8-12 November 2010. Brisbane, Australia: eResearch Australasia.
Lazy evaluation of PDE coefficients in the EScript System
local : UQ:236514
Fenwick, Joel and Gross, Lutz (2010). Lazy evaluation of PDE coefficients in the EScript System. 8th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2010), Brisbane, Australia, 18-22 January 2010. New South Wales, Australia: Australian Computer Society (ACS).
On lazy evaluation as a tool to optimize the efficiency of large scale numerical simulations in Python
local : UQ:197945
Gross, L., Amirbekyan, A., Fenwick, J., Gao, L., Mohajeri, A. and Muhlhaus, H. (2010). On lazy evaluation as a tool to optimize the efficiency of large scale numerical simulations in Python. 10th International Conference on Computational Science, ICCS 2010, Amsterdam, Netherlands, 31 May-2 June 2010. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.procs.2010.04.240
Solving transport problems for the exploration of mineral deposits and geothermal reservoirs
local : UQ:160132
Gross, L., Altinay, C., Amirbekyan, A., Fenwick, J., Hornby, P., Poulet, T., Sheldon H. A. and Steube, K. (2009). Solving transport problems for the exploration of mineral deposits and geothermal reservoirs. 4th International Conference on High Performance Scientific Computing Simulation, Modeling and Optimization of Complex Processes, Hanoi, Vietnam, 2-6 March 2009.
Interface modeling in incompressible media using level sets in Escript
local : UQ:11534
Gross, Lutz, Bourgouin, Laurent, Hale, Alina and Muhlhaus, Hans (2007). Interface modeling in incompressible media using level sets in Escript. Physics of The Earth and Planetary Interiors, 163 (1-4), 23-24. doi: 10.1016/j.pepi.2007.04.004
Research Data Collections
local : UQ:289097
School of Earth Sciences Publications
local : UQ:161068
- DOI : 10.14264/UQL.2015.351
