N. Sundaram

Most-cited papers

Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky, R. Kiros +5 more
2015International Conference on Machine Learning1,169 citations
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Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow
N. Sundaram, T. Brox, K. Keutzer
2010European Conference on Computer Vision529 citations Open access
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Fast support vector machine training and classification on graphics processors
Bryan Catanzaro, N. Sundaram, K. Keutzer
2008International Conference on Machine Learning412 citations
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Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
Tae Jun Ham, Lisa Wu, N. Sundaram, N. Satish +1 more
2016Micro356 citations
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GraphMat: High performance graph analytics made productive
N. Sundaram, N. Satish, Md. Mostofa Ali Patwary, Subramanya R. Dulloor +4 more
2015Proceedings of the VLDB Endowment347 citations
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Data tiering in heterogeneous memory systems
Subramanya R. Dulloor, Amitabha Roy, Zheguang Zhao, N. Sundaram +4 more
2016European Conference on Computer Systems242 citations
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Navigating the maze of graph analytics frameworks using massive graph datasets
N. Satish, N. Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo +5 more
2014SIGMOD Conference203 citations
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LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms
A. Iosup, T. Hegeman, Wing-Lung Ngai, Stijn Heldens +10 more
2016Proceedings of the VLDB Endowment170 citations Open access
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Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing
N. Sundaram, Aizana Turmukhametova, N. Satish, Todd Mostak +3 more
2013Proceedings of the VLDB Endowment162 citations Open access
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Efficient, high-quality image contour detection
Bryan Catanzaro, Bor-Yiing Su, N. Sundaram, Yunsup Lee +2 more
2009IEEE International Conference on Computer Vision143 citations
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Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver
Jongsoo Park, M. Smelyanskiy, N. Sundaram, P. Dubey
2014Information Security Conference89 citations
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Deep Learning at 15PF : Supervised and Semi-Supervised Classification for Scientific Data
T. Kurth, Jian Zhang, N. Satish, Evan Racah +11 more
2017International Conference for High Performance Computing, Networking, Storage and Analysis85 citations
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GraphIn: An Online High Performance Incremental Graph Processing Framework
Dipanjan Sengupta, N. Sundaram, Xia Zhu, Theodore L. Willke +3 more
2016European Conference on Parallel Processing84 citations
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A map reduce framework for programming graphics processors
Bryan Catanzaro, N. Sundaram, K. Keutzer
201080 citations
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BD-CATS: big data clustering at trillion particle scale
Md. Mostofa Ali Patwary, S. Byna, N. Satish, N. Sundaram +6 more
2015International Conference for High Performance Computing, Networking, Storage and Analysis72 citations Open access
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Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
Md. Mostofa Ali Patwary, N. Satish, N. Sundaram, Jongsoo Park +6 more
2015ISC High Performance66 citations
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GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms
Michael J. Anderson, N. Sundaram, N. Satish, Md. Mostofa Ali Patwary +2 more
2016IEEE International Parallel and Distributed Processing Symposium63 citations
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Bridging the Gap between HPC and Big Data frameworks
Michael J. Anderson, Shaden Smith, N. Sundaram, Mihai Capotă +4 more
2017Proceedings of the VLDB Endowment60 citations
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Improving graph partitioning for modern graphs and architectures
Dominique LaSalle, Md. Mostofa Ali Patwary, N. Satish, N. Sundaram +2 more
2015IA3@SC58 citations
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BrainIAK: The Brain Imaging Analysis Kit
Manoj Kumar, Michael J. Anderson, J. Antony, Christopher A. Baldassano +34 more
2020Aperture neuro56 citations Open access
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A framework for efficient and scalable execution of domain-specific templates on GPUs
N. Sundaram, A. Raghunathan, Srimat T. Chakradhar
20092009 IEEE International Symposium on Parallel & Distributed Processing47 citations
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GenBase: a complex analytics genomics benchmark
Rebecca Taft, Manasi Vartak, N. Satish, N. Sundaram +2 more
2014SIGMOD Conference45 citations
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Efficient Approximation Algorithms for Weighted b-Matching
Arif M. Khan, A. Pothen, Md. Mostofa Ali Patwary, N. Satish +4 more
2016SIAM Journal on Scientific Computing41 citations Open access
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Pardicle: Parallel Approximate Density-Based Clustering
Md. Mostofa Ali Patwary, N. Satish, N. Sundaram, F. Manne +2 more
2014International Conference for High Performance Computing, Networking, Storage and Analysis38 citations
Semantic Scholar
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures
Md. Mostofa Ali Patwary, N. Satish, N. Sundaram, Jia-Lin Liu +7 more
2016IEEE International Parallel and Distributed Processing Symposium36 citations Open access
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First-Generation Inference Accelerator Deployment at Facebook
Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng +110 more
2021arXiv.org33 citations
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Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms
A. Tom, N. Sundaram, Nesreen Ahmed, Shaden Smith +5 more
2017IEEE Conference on High Performance Extreme Computing31 citations
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Long term video segmentation through pixel level spectral clustering on GPUs
N. Sundaram, K. Keutzer
2011IEEE International Conference on Computer Vision31 citations
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Exploiting NVM in large-scale graph analytics
Jasmina Malicevic, Subramanya R. Dulloor, N. Sundaram, N. Satish +2 more
2015INFLOW '1530 citations Open access
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Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors
Yi-Da Wang, Michael J. Anderson, J. Cohen, A. Heinecke +5 more
2015International Conference for High Performance Computing, Networking, Storage and Analysis16 citations Open access
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Optimizing the use of GPU memory in applications with large data sets
N. Satish, N. Sundaram, K. Keutzer
2009International Conference on High Performance Computing16 citations
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Matrix-normal models for fMRI analysis
Michael Shvartsman, N. Sundaram, Mikio C. Aoi, Adam Charles +2 more
2017International Conference on Artificial Intelligence and Statistics15 citations
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The LDBC Graphalytics Benchmark
A. Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez +14 more
2020arXiv.org12 citations
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Designing Scalable b-MATCHING Algorithms on Distributed Memory Multiprocessors by Approximation
Arif M. Khan, A. Pothen, Md. Mostofa Ali Patwary, M. Halappanavar +3 more
2016International Conference for High Performance Computing, Networking, Storage and Analysis11 citations
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Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies
B. Friesen, Md. Mostofa Ali Patwary, B. Austin, N. Satish +7 more
2017International Conference for High Performance Computing, Networking, Storage and Analysis8 citations Open access
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Real-time full correlation matrix analysis of fMRI data
Yi-Da Wang, Bryn Keller, Mihai Capotă, Michael J. Anderson +5 more
20162016 IEEE International Conference on Big Data (Big Data)8 citations
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Considerations When Evaluating Microprocessor Platforms
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +6 more
2011USENIX Conference on Hot Topics in Parallelism8 citations
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Making Computer Vision Computationally Efficient
K. Keutzer, N. Sundaram
20127 citations
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Optimizing Full Correlation Matrix Analysis of fMRI Data on Intel R (cid:13) Xeon Phi TM Coprocessors
Yi-Da Wang, Michael J. Anderson, J. Cohen, A. Heinecke +5 more
20153 citations
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High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors
Dipanjan Sengupta, Yi-Da Wang, N. Sundaram, Theodore L. Willke
2017ISC High Performance2 citations
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PALLAS: Mapping Applications onto Manycore
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +5 more
2011Multiprocessor System-on-Chip2 citations
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Accelerating Machine Learning Applications on Graphics Processors
N. Sundaram, Bryan Catanzaro
20082 citations
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A Normative Theory of Decision Making from Multiple Stimuli: The Contextual Diffusion Decision Model
Michael Shvartsman, Vaibhav Srivastava, N. Sundaram, Jonathan D. Cohen
20260 citations
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A Normative Theory of Decision-making From Multiple Stimuli
Vaibhav Srivastava, N. Sundaram, J. Cohen
20200 citations
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Experimental Evaluation of Energy Saving Task Scheduling (ESTS) in Cloud Computing
N. Sundaram, S. Rajagopalan
2018International journal of engineering and technology0 citations Open access
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Deep Learning @15 Petaflops/second: Semi-supervised pattern detection for 15 Terabytes of climate data
W. Collins, M. Wehner, M. Prabhat, T. Kurth +7 more
20170 citations
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An Optimization of Energy Saving in Cloud Environment
N. Sundaram, S. Rajagopalan
20170 citations
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Using behavior to decode allocation of attention in context dependent decision making
Michael Shvartsman, Vaibhav Srivastava, N. Sundaram, J. Cohen
20160 citations
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Incremental Full Correlation Matrix Analysis for Real-Time fMRI Studies
Yi-Da Wang, Bryn Keller, Mihai Capotă, Michael J. Anderson +5 more
20160 citations
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Optimizing Full Correlation Matrix Analysis of fMRI Data on Intel Xeon Phi Coprocessors
Yi-Da Wang, Michael J. Anderson, J. D. Cohen, A. Heinecke +5 more
20150 citations
Semantic Scholar