PYTHIA: A Knowledge-Based System to Select Scientific Algorithms Export

@article{citeulike:6083559, abstract = {Problem-solving e Pub Caret nvironments (PSEs) interact with the user in a language ” natural” to the associated discipline, and they provide a high-level abstraction of the underlying, computationally complex model. The knowledge-based system PYTHIA addresses the problem of (parameter, algorithm) pair selection within a scientific computing domain assuming some minimum user-specified computational objectives and some characteristics of the given problem. PYTHIA's framework and methodology are general and applicable to any class of scientific problems and solvers. PYTHIA is applied in the context of Parallel ELLPACK where there are many alternatives for the numerical solution of elliptic partial differential equations (PDEs). PYTHIA matches the characteristics of the given problem with those of PDEs in an existing problem population and then uses performance profiles of the various solvers to select the appropriate method given user-specified error and solution time bounds. The profiles are automatically generated for each solver of the Parallel ELLPACK library. — Pub Fmt italic Authors' Abstract Pub Fmt /italic}, address = {New York, NY, USA}, author = {Weerawarana, Sanjiva and Houstis, Elias N. and Rice, John R. and Joshi, Anupam and Houstis, Catherine E.}, citeulike-article-id = {6083559}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=235815.235820}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/235815.235820}, doi = {10.1145/235815.235820}, issn = {0098-3500}, journal = {ACM Transactions on Mathematical Software}, keywords = {algorithm\_selection}, number = {4}, pages = {447--468}, posted-at = {2009-11-08 00:55:20}, priority = {2}, publisher = {ACM}, title = {{PYTHIA: A Knowledge-Based System to Select Scientific Algorithms}}, url = {http://dx.doi.org/10.1145/235815.235820}, volume = {22}, year = {1996} }

TY - JOUR ID - citeulike:6083559 L3 - citeulike-article-id:6083559 N2 - Problem-solving e Pub Caret nvironments (PSEs) interact with the user in a language “natural” to the associated discipline, and they provide a high-level abstraction of the underlying, computationally complex model. The knowledge-based system PYTHIA addresses the problem of (parameter, algorithm) pair selection within a scientific computing domain assuming some minimum user-specified computational objectives and some characteristics of the given problem. PYTHIA's framework and methodology are general and applicable to any class of scientific problems and solvers. PYTHIA is applied in the context of Parallel ELLPACK where there are many alternatives for the numerical solution of elliptic partial differential equations (PDEs). PYTHIA matches the characteristics of the given problem with those of PDEs in an existing problem population and then uses performance profiles of the various solvers to select the appropriate method given user-specified error and solution time bounds. The profiles are automatically generated for each solver of the Parallel ELLPACK library. — Pub Fmt italic Authors' Abstract Pub Fmt /italic IS - 4 JF - ACM Transactions on Mathematical Software SN - 0098-3500 AD - New York, NY, USA EP - 468 TI - {PYTHIA: A Knowledge-Based System to Select Scientific Algorithms} PB - ACM VL - 22 SP - 447 KW - algorithm_selection AU - Weerawarana, Sanjiva AU - Houstis, Elias AU - Rice, John AU - Joshi, Anupam AU - Houstis, Catherine PY - 1996/// UR - http://dx.doi.org/10.1145/235815.235820 ER -