Robert Searles
Robert Searles
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Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Creating a portable programming abstraction for wavefront patterns targeting HPC systems
R Searles
University of Delaware, 2019
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