Auto-tuning a high-level language targeted to GPU codes S Grauer-Gray, L Xu, R Searles, S Ayalasomayajula, J Cavazos 2012 innovative parallel computing (InPar), 1-10, 2012 | 525 | 2012 |
Accelerating financial applications on the GPU S Grauer-Gray, W Killian, R Searles, J Cavazos Proceedings of the 6th Workshop on General Purpose Processor Using Graphics …, 2013 | 62 | 2013 |
Auto-tuning a high-level language targeted to GPU codes. In 2012 Innovative Parallel Computing (InPar) S Grauer-Gray, L Xu, R Searles, S Ayalasomayajula, J Cavazos IEEE, Piscataway, NJ, USA, 1-10, 2012 | 58 | 2012 |
Parallelization of machine learning applied to call graphs of binaries for malware detection R Searles, L Xu, W Killian, T Vanderbruggen, T Forren, J Howe, ... 2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017 | 23 | 2017 |
MPI+ OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems R Searles, S Chandrasekaran, W Joubert, O Hernandez Computer Physics Communications 236, 176-187, 2019 | 22 | 2019 |
SPEChpc 2021 benchmark suites for modern HPC systems J Li, A Bobyr, S Boehm, W Brantley, H Brunst, A Cavelan, ... Companion of the 2022 ACM/SPEC International Conference on Performance …, 2022 | 13 | 2022 |
Abstractions and directives for adapting wavefront algorithms to future architectures R Searles, S Chandrasekaran, W Joubert, O Hernandez Proceedings of the Platform for Advanced Scientific Computing Conference, 1-10, 2018 | 13 | 2018 |
Path forward for softwarization to tackle evolving hardware M Ghane, S Chandrasekaran, R Searles, MS Cheung, O Hernandez Disruptive Technologies in Information Sciences 10652, 138-145, 2018 | 8 | 2018 |
OpenACC acceleration of an agent-based biological simulation framework M Stack, P Macklin, R Searles, S Chandrasekaran Computing in Science & Engineering 24 (5), 53-63, 2022 | 5 | 2022 |
Accelerating prediction of chemical shift of protein structures on GPUs: Using OpenACC E Wright, MH Ferrato, AJ Bryer, R Searles, JR Perilla, S Chandrasekaran PLoS computational biology 16 (5), e1007877, 2020 | 4 | 2020 |
A portable, high-level graph analytics framework targeting distributed, heterogeneous systems R Searles, S Herbein, S Chandrasekaran Proceedings of the Third International Workshop on Accelerator Programming …, 2016 | 4 | 2016 |
Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications R Searles, S Herbein, T Johnston, M Taufer, S Chandrasekaran International Journal of High Performance Computing and Networking 13 (1 …, 2019 | 3 | 2019 |
GPU accelerated computation of isotropic chemical shifts offers new dimension of structure refinement in largescale molecular dynamics simulation AJ Bryer, EF Wright, M Ferrato, T Huber, E Ortiz, R Searles, ... Biophysical Journal 116 (3), 569a-570a, 2019 | 1 | 2019 |
Accelerating Prediction of Chemical Shift of Protein Structures on GPUs E Wright, M Ferrato, A Bryer, R Searles, J Perilla, S Chandrasekaran bioRxiv, 2020.01. 12.903468, 2020 | | 2020 |
Creating a portable programming abstraction for wavefront patterns targeting HPC systems R Searles University of Delaware, 2019 | | 2019 |