Dynamic patterns of adaptive radiation S Gavrilets, A Vose Proceedings of the National Academy of Sciences 102 (50), 18040-18045, 2005 | 475 | 2005 |
The dynamics of Machiavellian intelligence S Gavrilets, A Vose Proceedings of the National Academy of Sciences 103 (45), 16823-16828, 2006 | 179 | 2006 |
Case studies and mathematical models of ecological speciation. 1. Cichlids in a crater lake S Gavrilets, A Vose, M Barluenga, W Salzburger, A Meyer Molecular Ecology 16 (14), 2893-2909, 2007 | 176 | 2007 |
Case studies and mathematical models of ecological speciation. 2. Palms on an oceanic island S Gavrilets, A Vose Molecular Ecology 16 (14), 2910-2921, 2007 | 159 | 2007 |
Patterns of species ranges, speciation, and extinction A Birand, A Vose, S Gavrilets The American Naturalist 179 (1), 1-21, 2012 | 130 | 2012 |
A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel M Norman, J Larkin, A Vose, K Evans Journal of computational science 9, 1-6, 2015 | 53 | 2015 |
An MPI/OpenACC implementation of a high-order electromagnetics solver with GPUDirect communication M Otten, J Gong, A Mametjanov, A Vose, J Levesque, P Fischer, M Min The International Journal of High Performance Computing Applications 30 (3 …, 2016 | 50 | 2016 |
Dynamic patterns of adaptive radiation: evolution of mating preferences S Gavrilets, A Vose Speciation and patterns of diversity, 102-126, 2009 | 34 | 2009 |
Massively parallel and linear-scaling algorithm for second-order Møller–Plesset perturbation theory applied to the study of supramolecular wires T Kjærgaard, P Baudin, D Bykov, JJ Eriksen, P Ettenhuber, K Kristensen, ... Computer Physics Communications 212, 152-160, 2017 | 22 | 2017 |
Programming for Hybrid Multi/Manycore MPP Systems J Levesque, A Vose Chapman and Hall/CRC, 2017 | 18 | 2017 |
Relative debugging for a highly parallel hybrid computer system L DeRose, A Gontarek, A Vose, R Moench, D Abramson, MN Dinh, C Jin Proceedings of the International Conference for High Performance Computing …, 2015 | 10 | 2015 |
The convergence of HPC, ai and Big Data in rapid-response to the COVID-19 pandemic SR Sukumar, JA Balma, CD Rickett, KJ Maschhoff, J Landman, CR Yates, ... Smoky Mountains Computational Sciences and Engineering Conference, 157-172, 2021 | 8 | 2021 |
Evaluating gather and scatter performance on CPUs and GPUs P Lavin, J Young, R Vuduc, J Riedy, A Vose, D Ernst Proceedings of the International Symposium on Memory Systems, 209-222, 2020 | 6 | 2020 |
Recombination of artificial neural networks A Vose, J Balma, A Heye, A Rigazzi, C Siegel, D Moise, B Robbins, ... arXiv preprint arXiv:1901.03900, 2019 | 6 | 2019 |
PharML. Bind: pharmacologic machine learning for protein-ligand interactions AD Vose, J Balma, D Farnsworth, K Anderson, YK Peterson arXiv preprint arXiv:1911.06105, 2019 | 3 | 2019 |
Interactive distributed deep learning with Jupyter notebooks S Farrell, A Vose, O Evans, M Henderson, S Cholia, F Pérez, W Bhimji, ... High Performance Computing: ISC High Performance 2018 International …, 2018 | 3 | 2018 |
Experiences with CUDA and OpenACC from porting ACME to GPUs M Norman, I Demeshko, J Larkin, A Vose, M Taylor Fifth NCAR multi-core workshop, 2015 | 3 | 2015 |
Deep learning predicts protein-ligand interactions J Balma, AD Vose, YK Peterson, AG Chittiboyina, P Pandey, CR Yates, ... 2020 IEEE International Conference on Big Data (Big Data), 5627-5629, 2020 | 2 | 2020 |
Spatter: A tool for evaluating gather/scatter performance P Lavin, J Young, J Riedy, R Vuduc, A Vose, D Ernst arXiv preprint arXiv:1811.03743, 2018 | 2 | 2018 |
Petascale Genomic Sequence Search B Rekepalli, A Vose Proceedings of The 11th IEEE/ACM International Symposium on Cluster, Cloud …, 2011 | 2 | 2011 |