Narayanan Sundaram

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 28

Top Venues

CoRR

Proc. VLDB Endow.

ISC

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.
First-Generation Inference Accelerator Deployment at Facebook. CoRR (2021)
Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia
The LDBC Graphalytics Benchmark. CoRR (2020)
Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
Matrix-normal models for fMRI analysis. AISTATS (2018)
Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke
Xeon Phi™ Processors. ISC (2017)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC (2017)
Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke
Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. 10 (8) (2017)
Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. SC (2017)
Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies. CoRR (2017)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR (2017)
Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis
Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC (2017)
Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan
GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par (2016)
Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter A. Boncz
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 9 (13) (2016)
Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. CoRR (2016)
Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. IPDPS (2016)
Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey
Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. 38 (5) (2016)
Subramanya Dulloor, Amitabha Roy, Zheguang Zhao, Narayanan Sundaram, Nadathur Satish, Rajesh Sankaran, Jeff Jackson, Karsten Schwan
Data tiering in heterogeneous memory systems. EuroSys (2016)
Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey
-Matching algorithms on distributed memory multiprocessors by approximation. SC (2016)
Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke
Real-time full correlation matrix analysis of fMRI data. IEEE BigData (2016)
Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey
GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. IPDPS (2016)
Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO (2016)
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
Scalable Bayesian Optimization Using Deep Neural Networks. ICML (2015)
Jasmina Malicevic, Subramanya Dulloor, Narayanan Sundaram, Nadathur Satish, Jeff Jackson, Willy Zwaenepoel
Exploiting NVM in large-scale graph analytics. INFLOW@SOSP (2015)
Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC (2015)
Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey
BD-CATS: big data clustering at trillion particle scale. SC (2015)
Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey
GraphMat: High performance graph analytics made productive. Proc. VLDB Endow. 8 (11) (2015)
Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis
Improving graph partitioning for modern graphs and architectures. IA3@SC (2015)
Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jongsoo Park, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Sergey G. Pudov, Vadim O. Pirogov, Pradeep Dubey
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. ISC (2015)
Narayanan Sundaram, Nadathur Rajagopalan Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey
GraphMat: High performance graph analytics made productive. CoRR (2015)
Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, Muhammad Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey
Navigating the maze of graph analytics frameworks using massive graph datasets. SIGMOD Conference (2014)
Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker
GenBase: a complex analytics genomics benchmark. SIGMOD Conference (2014)
Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey
Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. ISC (2014)
Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Fredrik Manne, Salman Habib, Pradeep Dubey
Pardicle: Parallel Approximate Density-Based Clustering. SC (2014)
Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden, Pradeep Dubey
Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing. Proc. VLDB Endow. 6 (14) (2013)
Narayanan Sundaram, Kurt Keutzer
Long term video segmentation through pixel level spectral clustering on GPUs. ICCV Workshops (2011)
Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram
Considerations When Evaluating Microprocessor Platforms. HotPar (2011)
Narayanan Sundaram, Thomas Brox, Kurt Keutzer
Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) (2010)
Narayanan Sundaram, Anand Raghunathan, Srimat T. Chakradhar
A framework for efficient and scalable execution of domain-specific templates on GPUs. IPDPS (2009)
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
Optimizing the use of GPU memory in applications with large data sets. HiPC (2009)
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer
Efficient, high-quality image contour detection. ICCV (2009)
Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer
Fast support vector machine training and classification on graphics processors. ICML (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Narayanan Sundaram