Narayanan Sundaram

42 papers A* 4A 11C 3Misc 1Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	First-Generation Inference Accelerator Deployment at Facebook. CoRR 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.
2020	J	`jnl`	The LDBC Graphalytics Benchmark. CoRR 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 Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia
2018	A	`conf`	Matrix-normal models for fMRI analysis. AISTATS Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
2017	J	`jnl`	Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke
2017	J	`jnl`	Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR 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
2017	A	`conf`	Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC 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
2017	—	`conf`	Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis
2017	J	`jnl`	Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies. CoRR Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
2017	A	`conf`	Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. SC Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
2017	C	`conf`	High-Performance Incremental SVM Learning on Intel ISC Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke
2016	A	`conf`	Data tiering in heterogeneous memory systems. EuroSys Subramanya Dulloor, Amitabha Roy, Zheguang Zhao, Narayanan Sundaram, Nadathur Satish, Rajesh Sankaran, Jeff Jackson, Karsten Schwan
2016	A	`conf`	Designing scalable SC Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey
2016	J	`jnl`	Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey
2016	—	`conf`	GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan
2016	A	`conf`	GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. IPDPS Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey
2016	A*	`conf`	Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi
2016	J	`jnl`	LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 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 Boncz
2016	A	`conf`	PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. IPDPS 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
2016	J	`jnl`	PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. CoRR 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
2016	—	`conf`	Real-time full correlation matrix analysis of fMRI data. IEEE BigData Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke
2015	A	`conf`	BD-CATS: big data clustering at trillion particle scale. SC Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey
2015	—	`conf`	Exploiting NVM in large-scale graph analytics. INFLOW@SOSP Jasmina Malicevic, Subramanya Dulloor, Narayanan Sundaram, Nadathur Satish, Jeff Jackson, Willy Zwaenepoel
2015	A	`conf`	Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke
2015	J	`jnl`	GraphMat: High performance graph analytics made productive. CoRR Narayanan Sundaram, Nadathur Rajagopalan Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey
2015	J	`jnl`	GraphMat: High performance graph analytics made productive. Proc. VLDB Endow. Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey
2015	—	`conf`	Improving graph partitioning for modern graphs and architectures. IA3@SC Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis
2015	C	`conf`	Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. ISC 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
2015	A*	`conf`	Scalable Bayesian Optimization Using Deep Neural Networks. ICML Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
2014	—	`conf`	GenBase: a complex analytics genomics benchmark. SIGMOD Conference Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker
2014	—	`conf`	Navigating the maze of graph analytics frameworks using massive graph datasets. SIGMOD Conference Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Jiwon Seo, Jongsoo Park, Muhammad Amber Hassaan, Shubho Sengupta, Zhaoming Yin, Pradeep Dubey
2014	A	`conf`	Pardicle: Parallel Approximate Density-Based Clustering. SC Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Fredrik Manne, Salman Habib, Pradeep Dubey
2014	C	`conf`	Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. ISC Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey
2013	J	`jnl`	Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing. Proc. VLDB Endow. Narayanan Sundaram, Aizana Turmukhametova, Nadathur Satish, Todd Mostak, Piotr Indyk, Samuel Madden, Pradeep Dubey
2012	—	`—`	Making Computer Vision Computationally Efficient. Narayanan Sundaram
2011	—	`conf`	Considerations When Evaluating Microprocessor Platforms. HotPar Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram
2011	—	`conf`	Long term video segmentation through pixel level spectral clustering on GPUs. ICCV Workshops Narayanan Sundaram, Kurt Keutzer
2011	—	`ch.`	PALLAS: Mapping Applications onto Manycore. Multiprocessor System-on-Chip Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, Bor-Yiing Su, Narayanan Sundaram
2010	—	`conf`	Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) Narayanan Sundaram, Thomas Brox, Kurt Keutzer
2009	A	`conf`	A framework for efficient and scalable execution of domain-specific templates on GPUs. IPDPS Narayanan Sundaram, Anand Raghunathan, Srimat T. Chakradhar
2009	A*	`conf`	Efficient, high-quality image contour detection. ICCV Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer
2009	Misc	`conf`	Optimizing the use of GPU memory in applications with large data sets. HiPC Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
2008	A*	`conf`	Fast support vector machine training and classification on graphics processors. ICML Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer