Can cloud computing reach the top500? J Napper, P Bientinesi Proceedings of the combined workshops on UnConventional high performance …, 2009 | 273 | 2009 |
The science of deriving dense linear algebra algorithms P Bientinesi, JA Gunnels, ME Myers, ES Quintana-Ortí, RA Geijn ACM Transactions on Mathematical Software (TOMS) 31 (1), 1-26, 2005 | 213 | 2005 |
Supermatrix: a multithreaded runtime scheduling system for algorithms-by-blocks E Chan, FG Van Zee, P Bientinesi, ES Quintana-Orti, G Quintana-Orti, ... Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of …, 2008 | 145 | 2008 |
Representing linear algebra algorithms in code: the FLAME application program interfaces P Bientinesi, ES Quintana-Ortí, RA Geijn ACM Transactions on Mathematical Software (TOMS) 31 (1), 27-59, 2005 | 121 | 2005 |
Design of a high-performance GEMM-like tensor–tensor multiplication P Springer, P Bientinesi ACM Transactions on Mathematical Software (TOMS) 44 (3), 1-29, 2018 | 110 | 2018 |
Families of algorithms related to the inversion of a symmetric positive definite matrix P Bientinesi, B Gunter, RA Geijn ACM Transactions on Mathematical Software (TOMS) 35 (1), 1-22, 2008 | 103 | 2008 |
A parallel eigensolver for dense symmetric matrices based on multiple relatively robust representations P Bientinesi, IS Dhillon, RA Van De Geijn SIAM Journal on Scientific Computing 27 (1), 43-66, 2005 | 99 | 2005 |
HPTT: A high-performance tensor transposition C++ library P Springer, T Su, P Bientinesi Proceedings of the 4th ACM SIGPLAN International Workshop on Libraries …, 2017 | 64 | 2017 |
Towards an efficient use of the BLAS library for multilinear tensor contractions E Di Napoli, D Fabregat-Traver, G Quintana-Ortí, P Bientinesi Applied Mathematics and Computation 235, 454-468, 2014 | 58 | 2014 |
Mechanical derivation and systematic analysis of correct linear algebra algorithms P Bientinesi The University of Texas at Austin, 2006 | 54 | 2006 |
Performance modeling for dense linear algebra E Peise, P Bientinesi 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 41 | 2012 |
The vectorization of the tersoff multi-body potential: an exercise in performance portability M Höhnerbach, AE Ismail, P Bientinesi SC'16: Proceedings of the International Conference for High Performance …, 2016 | 40 | 2016 |
Dissecting the FEAST algorithm for generalized eigenproblems L Krämer, E Di Napoli, M Galgon, B Lang, P Bientinesi Journal of computational and applied mathematics 244, 1-9, 2013 | 39 | 2013 |
Program generation for small-scale linear algebra applications DG Spampinato, D Fabregat-Traver, P Bientinesi, M Püschel Proceedings of the 2018 International Symposium on Code Generation and …, 2018 | 37 | 2018 |
HPC on competitive cloud resources P Bientinesi, R Iakymchuk, J Napper Handbook of Cloud Computing, 493-516, 2010 | 37 | 2010 |
A domain-specific compiler for linear algebra operations D Fabregat-Traver, P Bientinesi High Performance Computing for Computational Science-VECPAR 2012: 10th …, 2013 | 36 | 2013 |
Reduction to condensed forms for symmetric eigenvalue problems on multi-core architectures P Bientinesi, FD Igual, D Kressner, ES Quintana-Ortí Parallel Processing and Applied Mathematics: 8th International Conference …, 2010 | 36 | 2010 |
High-performance solvers for dense hermitian eigenproblems M Petschow, E Peise, P Bientinesi SIAM Journal on Scientific Computing 35 (1), C1-C22, 2013 | 35 | 2013 |
Automatic generation of loop-invariants for matrix operations D Fabregat-Traver, P Bientinesi 2011 International Conference on Computational Science and Its Applications …, 2011 | 31 | 2011 |
Modeling performance through memory-stalls R Iakymchuk, P Bientinesi ACM SIGMETRICS Performance Evaluation Review 40 (2), 86-91, 2012 | 30 | 2012 |