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of 33
pro vyhledávání: '"Terrel, Andy"'
We present a novel, quadrature-based finite element integration method for low-order elements on GPUs, using a pattern we call \textit{thread transposition} to avoid reductions while vectorizing aggressively. On the NVIDIA GTX580, which has a nominal
Externí odkaz:
http://arxiv.org/abs/1607.04245
Publikováno v:
Adv. Par. Comp. 25 (2014) 253-262
We present a new hybrid paradigm for parallel adaptive mesh refinement (AMR) that combines the scalability and lightweight architecture of tree-based AMR with the computational efficiency of patch-based solvers for hyperbolic conservation laws. The k
Externí odkaz:
http://arxiv.org/abs/1308.1472
Autor:
Terrel, Andy R., Mandli, Kyle T.
Next generation computer architectures will include order of magnitude more intra-node parallelism; however, many application programmers have a difficult time keeping their codes current with the state-of-the-art machines. In this context, we analyz
Externí odkaz:
http://arxiv.org/abs/1308.1464
Publikováno v:
SIAM Journal on Scientific Computing 28(1), pp. 224-240 (2006)
We present a topological framework for finding low-flop algorithms for evaluating element stiffness matrices associated with multilinear forms for finite element methods posed over straight-sided affine domains. This framework relies on phrasing the
Externí odkaz:
http://arxiv.org/abs/1205.3001
Autor:
Knepley, Matthew G., Terrel, Andy R.
Publikováno v:
ACM Transactions on Mathematical Software, 39(2), 2013
We present a novel finite element integration method for low order elements on GPUs. We achieve more than 100GF for element integration on first order discretizations of both the Laplacian and Elasticity operators.
Comment: 16 pages, 3 figures
Comment: 16 pages, 3 figures
Externí odkaz:
http://arxiv.org/abs/1103.0066
Autor:
Terrel, Andy, Thacker, Beth
We assert that models of cognitive structure all have the same basic features. These basic features, independent of the model, have important implications for instruction and assessment. We describe the basic features of models of cognitive structure
Externí odkaz:
http://arxiv.org/abs/0707.3106
Autor:
Mueller, Andreas, Terrel, Andy, Caswell, Thomas, Gommers, Ralf, Helfrich, Gina, Abernathey, Ryan
Rejected Preliminary Proposal for Mid-Scale Research Infrastructure-1, NSF call at https://www.nsf.gov/pubs/2019/nsf19537/nsf19537.htmThis document proposed an extension of the Scientific Python Ecosystem (SPE) and enabling closer collaboration betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c5a5d18b4122e81bbf7c1dcc162b55e
Autor:
Alnæs, Martin, Blechta, Jan, Farrell, Patrick, Hake, Johan, Hoffman, Johan, Jansson, Johan, Jansson, Niclas, Johansson, August, Johnson, Claes, Kehlet, Benjamin, Kirby, Robert C., Knepley, Matthew, Kuchta, Miroslav, Langtangen, Hans Petter, Logg, Anders, Kent-Andre Mardal, Massing, Andre, Mortensen, Mikael, Narayanan, Harish, Richardson, Chris, Ring, Johannes, Rognes, Marie, Ridgway Scott, Skavhaug, Ola, Terrel, Andy, Wells, Garth N., Ølgaard, Kristian
Poster presented at 2015 SIAM Conference on Computational Science and Engineering, Salt Lake City.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::672d6b443fd4813f905f8b950fedf261
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