Narayanan Sundaram

According to our database, Narayanan Sundaram authored at least 39 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

First-Generation Inference Accelerator Deployment at Facebook.

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.

CoRR, 2021

2020

The LDBC Graphalytics Benchmark.

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

CoRR, 2020

2018

Matrix-normal models for fMRI analysis.

Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Bridging the Gap between HPC and Big Data frameworks.

Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke

Proc. VLDB Endow., 2017

High-Performance Incremental SVM Learning on Intel^® Xeon Phi™ Processors.

Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke

Proceedings of the High Performance Computing - 32nd International Conference, 2017

Deep learning at 15PF: supervised and semi-supervised classification for scientific data.

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

Proceedings of the International Conference for High Performance Computing, 2017

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies.

Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat

Proceedings of the International Conference for High Performance Computing, 2017

Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms.

Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

2016

Efficient Approximation Algorithms for Weighted b-Matching.

Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey

SIAM J. Sci. Comput., 2016

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms.

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

Proc. VLDB Endow., 2016

Designing scalable <i>b</i>-Matching algorithms on distributed memory multiprocessors by approximation.

Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey

Proceedings of the International Conference for High Performance Computing, 2016

Graphicionado: A high-performance and energy-efficient accelerator for graph analytics.

Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures.

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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms.

Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Data tiering in heterogeneous memory systems.

Subramanya Dulloor, Amitabha Roy, Zheguang Zhao, Narayanan Sundaram, Nadathur Satish, Rajesh Sankaran, Jeff Jackson, Karsten Schwan

Proceedings of the Eleventh European Conference on Computer Systems, 2016

GraphIn: An Online High Performance Incremental Graph Processing Framework.

Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan

Proceedings of the Euro-Par 2016: Parallel Processing, 2016

Real-time full correlation matrix analysis of fMRI data.

Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

GraphMat: High performance graph analytics made productive.

Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey

Proc. VLDB Endow., 2015

GraphMat: High performance graph analytics made productive.

Narayanan Sundaram, Nadathur Rajagopalan Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey

CoRR, 2015

Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms.

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

Proceedings of the High Performance Computing - 30th International Conference, 2015

Exploiting NVM in large-scale graph analytics.

Jasmina Malicevic, Subramanya Dulloor, Narayanan Sundaram, Nadathur Satish, Jeff Jackson, Willy Zwaenepoel

Proceedings of the 3rd Workshop on Interactions of NVM/FLASH with Operating Systems and Workloads, 2015

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors.

Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke

Proceedings of the International Conference for High Performance Computing, 2015

BD-CATS: big data clustering at trillion particle scale.

Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey

Proceedings of the International Conference for High Performance Computing, 2015

Improving graph partitioning for modern graphs and architectures.

Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis

Proceedings of the 5th Workshop on Irregular Applications - Architectures and Algorithms, 2015

Scalable Bayesian Optimization Using Deep Neural Networks.

Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver.

Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey

Proceedings of the Supercomputing - 29th International Conference, 2014

GenBase: a complex analytics genomics benchmark.

Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker

Proceedings of the International Conference on Management of Data, 2014

Navigating the maze of graph analytics frameworks using massive graph datasets.

Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, Muhammad Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey

Proceedings of the International Conference on Management of Data, 2014

Pardicle: Parallel Approximate Density-Based Clustering.

Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Fredrik Manne, Salman Habib, Pradeep Dubey

Proceedings of the International Conference for High Performance Computing, 2014

2013

Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing.

Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden, Pradeep Dubey

Proc. VLDB Endow., 2013

2012

Making Computer Vision Computationally Efficient.

Narayanan Sundaram

PhD thesis, 2012

2011

Long term video segmentation through pixel level spectral clustering on GPUs.

Narayanan Sundaram, Kurt Keutzer

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Considerations When Evaluating Microprocessor Platforms.

Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram

Proceedings of the 3rd USENIX Workshop on Hot Topics in Parallelism, 2011

PALLAS: Mapping Applications onto Manycore.

Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, Bor-Yiing Su, Narayanan Sundaram

Proceedings of the Multiprocessor System-on-Chip - Hardware Design and Tool Integration., 2011

2010

Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow.

Narayanan Sundaram, Thomas Brox, Kurt Keutzer

Proceedings of the Computer Vision, 2010

2009

A framework for efficient and scalable execution of domain-specific templates on GPUs.

Narayanan Sundaram, Anand Raghunathan, Srimat T. Chakradhar

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Efficient, high-quality image contour detection.

Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Optimizing the use of GPU memory in applications with large data sets.

Nadathur Satish, Narayanan Sundaram, Kurt Keutzer

Proceedings of the 16th International Conference on High Performance Computing, 2009

2008

Fast support vector machine training and classification on graphics processors.

Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer

Proceedings of the Machine Learning, 2008