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Siddharth Samsi
Siddharth Samsi
MIT Lincoln Laboratory
Verified email at osu.edu
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Cited by
Year
Interactive supercomputing on 40,000 cores for machine learning and data analysis
A Reuther, J Kepner, C Byun, S Samsi, W Arcand, D Bestor, B Bergeron, ...
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018
3032018
Survey and benchmarking of machine learning accelerators
A Reuther, P Michaleas, M Jones, V Gadepally, S Samsi, J Kepner
2019 IEEE high performance extreme computing conference (HPEC), 1-9, 2019
2332019
Survey of machine learning accelerators
A Reuther, P Michaleas, M Jones, V Gadepally, S Samsi, J Kepner
2020 IEEE high performance extreme computing conference (HPEC), 1-12, 2020
1692020
AI and ML accelerator survey and trends
A Reuther, P Michaleas, M Jones, V Gadepally, S Samsi, J Kepner
2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-10, 2022
1292022
Static graph challenge: Subgraph isomorphism
S Samsi, V Gadepally, M Hurley, M Jones, E Kao, S Mohindra, ...
2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017
1022017
Associative array model of SQL, NoSQL, and NewSQL Databases
J Kepner, V Gadepally, D Hutchison, H Jananthan, T Mattson, S Samsi, ...
2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2016
962016
Learning by doing, High Performance Computing education in the MOOC era
J Mullen, C Byun, V Gadepally, S Samsi, A Reuther, J Kepner
Journal of Parallel and Distributed Computing 105, 105-115, 2017
772017
Streaming graph challenge: Stochastic block partition
E Kao, V Gadepally, M Hurley, M Jones, J Kepner, S Mohindra, ...
2017 IEEE High performance extreme computing conference (HPEC), 1-12, 2017
752017
Sevir: A storm event imagery dataset for deep learning applications in radar and satellite meteorology
M Veillette, S Samsi, C Mattioli
Advances in Neural Information Processing Systems 33, 22009-22019, 2020
702020
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry
S Samsi, AK Krishnamurthy, MN Gurcan
Journal of Computational Science, 2012
512012
Detection of follicles from IHC-stained slides of follicular lymphoma using iterative watershed
S Samsi, G Lozanski, A Shanarah, AK Krishanmurthy, MN Gurcan
IEEE Transactions on Biomedical Engineering 57 (10), 2609-2612, 2010
492010
Measuring the impact of spectre and meltdown
A Prout, W Arcand, D Bestor, B Bergeron, C Byun, V Gadepally, M Houle, ...
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-5, 2018
442018
Octave and python: High-level scripting languages productivity and performance evaluation
JC Chaves, J Nehrbass, B Guilfoos, J Gardiner, S Ahalt, A Krishnamurthy, ...
2006 HPCMP Users Group Conference (HPCMP-UGC'06), 429-434, 2006
392006
MATLAB for signal processing on multiprocessors and multicores
S Samsi, V Gadepally, A Krishnamurthy
IEEE Signal Processing Magazine 27 (2), 40-49, 2010
382010
Automatic detection of follicular regions in H&E images using iterative shape index
K Belkacem-Boussaid, S Samsi, G Lozanski, MN Gurcan
Computerized Medical Imaging and Graphics 35 (7-8), 592-602, 2011
362011
Neural scaling of deep chemical models
NC Frey, R Soklaski, S Axelrod, S Samsi, R Gomez-Bombarelli, CW Coley, ...
Nature Machine Intelligence 5 (11), 1297-1305, 2023
322023
Graphchallenge. org: Raising the bar on graph analytic performance
S Samsi, V Gadepally, M Hurley, M Jones, E Kao, S Mohindra, ...
2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018
312018
Ai enabling technologies: A survey
V Gadepally, J Goodwin, J Kepner, A Reuther, H Reynolds, S Samsi, J Su, ...
arXiv preprint arXiv:1905.03592, 2019
302019
Miso: exploiting multi-instance gpu capability on multi-tenant gpu clusters
B Li, T Patel, S Samsi, V Gadepally, D Tiwari
Proceedings of the 13th Symposium on Cloud Computing, 173-189, 2022
272022
Large scale organization and inference of an imagery dataset for public safety
J Liu, D Strohschein, S Samsi, A Weinert
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2019
262019
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