Narayanan Sundaram
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Scalable bayesian optimization using deep neural networks
J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ...
International conference on machine learning, 2171-2180, 2015
Deep learning recommendation model for personalization and recommendation systems
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
arXiv preprint arXiv:1906.00091, 2019
Dense point trajectories by gpu-accelerated large displacement optical flow
N Sundaram, T Brox, K Keutzer
European conference on computer vision, 438-451, 2010
Fast support vector machine training and classification on graphics processors
B Catanzaro, N Sundaram, K Keutzer
Proceedings of the 25th international conference on Machine learning, 104-111, 2008
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
TJ Ham, L Wu, N Sundaram, N Satish, M Martonosi
2016 49th annual IEEE/ACM international symposium on microarchitecture …, 2016
Graphmat: High performance graph analytics made productive
N Sundaram, NR Satish, MMA Patwary, SR Dulloor, SG Vadlamudi, ...
arXiv preprint arXiv:1503.07241, 2015
Data tiering in heterogeneous memory systems
SR Dulloor, A Roy, Z Zhao, N Sundaram, N Satish, R Sankaran, ...
Proceedings of the Eleventh European Conference on Computer Systems, 1-16, 2016
Navigating the maze of graph analytics frameworks using massive graph datasets
N Satish, N Sundaram, MMA Patwary, J Seo, J Park, MA Hassaan, ...
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Efficient, high-quality image contour detection
B Catanzaro, BY Su, N Sundaram, Y Lee, M Murphy, K Keutzer
2009 IEEE 12th International Conference on Computer Vision, 2381-2388, 2009
Streaming similarity search over one billion tweets using parallel locality-sensitive hashing
N Sundaram, A Turmukhametova, N Satish, T Mostak, P Indyk, S Madden, ...
Proceedings of the VLDB Endowment 6 (14), 1930-1941, 2013
LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms
A Iosup, T Hegeman, WL Ngai, S Heldens, A Prat-Pérez, T Manhardto, ...
Proceedings of the VLDB Endowment 9 (13), 1317-1328, 2016
A map reduce framework for programming graphics processors
B Catanzaro, N Sundaram, K Keutzer
Workshop on Software Tools for MultiCore Systems, 2008
Deep learning at 15pf: supervised and semi-supervised classification for scientific data
T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ...
Proceedings of the International Conference for High Performance Computing …, 2017
Sparsifying synchronization for high-performance shared-memory sparse triangular solver
J Park, M Smelyanskiy, N Sundaram, P Dubey
Supercomputing: 29th International Conference, ISC 2014, Leipzig, Germany …, 2014
Graphin: An online high performance incremental graph processing framework
D Sengupta, N Sundaram, X Zhu, TL Willke, J Young, M Wolf, K Schwan
Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
N Sundaram, J Park, MJ Anderson, SG Vadlamudi, D Das, SG Pudov, ...
High Performance Computing: 30th International Conference, ISC High …, 2015
Bridging the gap between HPC and big data frameworks
M Anderson, S Smith, N Sundaram, M Capotă, Z Zhao, S Dulloor, ...
Proceedings of the VLDB Endowment 10 (8), 901-912, 2017
BD-CATS: big data clustering at trillion particle scale
MMA Patwary, S Byna, NR Satish, N Sundaram, Z Lukić, V Roytershteyn, ...
Proceedings of the International Conference for High Performance Computing …, 2015
Graphpad: Optimized graph primitives for parallel and distributed platforms
MJ Anderson, N Sundaram, N Satish, MMA Patwary, TL Willke, P Dubey
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
A framework for efficient and scalable execution of domain-specific templates on GPUs
N Sundaram, A Raghunathan, ST Chakradhar
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009
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