Title:
Metanumerical computing for partial differential equations: the Sundance project
Metanumerical computing for partial differential equations: the Sundance project
dc.contributor.author | Kirby, Robert C. | |
dc.contributor.corporatename | Texas Tech University | |
dc.date.accessioned | 2010-11-15T19:02:12Z | |
dc.date.available | 2010-11-15T19:02:12Z | |
dc.date.issued | 2010-10-29 | |
dc.description | Robert Kirby of Texas Tech University presented a lecture on October 29, 2010 at 2:00 pm in room 1447 of the Klaus Advanced Computing Building on the Georgia Tech campus. | en_US |
dc.description | Runtime: 50: 15 minutes | |
dc.description.abstract | Metanumerical computing deals with computer programs that use abstract mathematical structure to manipulate, generate, and/or optimize compute-intensive numerical codes. This idea has gained popularity over the last decade in several areas of scientific computing, include numerical linear algebra, signal processing, and partial differential equations. The Sundance project is such an example, using high-level software-based differentiation of variational forms to automatically produce high-performance finite element implementations, all within a C++ library. In addition to automating the discretization of PDE by finite elements, recent work is demonstrating how to produce block-structured matrices and streamline the implementation of advanced numerical methods. I will conclude with some examples of this for some incompressible flow problems. | en_US |
dc.format.extent | 50:15 minutes | |
dc.identifier.uri | http://hdl.handle.net/1853/35938 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | Computational Science and Engineering Seminar Series | en_US |
dc.subject | Scientific computing | en_US |
dc.subject | Finite elements | en_US |
dc.subject | Metanumerical computing | en_US |
dc.title | Metanumerical computing for partial differential equations: the Sundance project | en_US |
dc.type | Moving Image | |
dc.type.genre | Lecture | |
dspace.entity.type | Publication | |
local.contributor.corporatename | College of Computing | |
local.contributor.corporatename | School of Computational Science and Engineering | |
local.relation.ispartofseries | Computational Science and Engineering Seminar Series | |
relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
relation.isOrgUnitOfPublication | 01ab2ef1-c6da-49c9-be98-fbd1d840d2b1 | |
relation.isSeriesOfPublication | 97f53edf-44c2-4e20-855a-72065461737d |
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