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Narayanan Sundaram
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2020 – today
- 2021
- [i6]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 abs/2107.04140 (2021) - 2020
- [i5]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 abs/2011.15028 (2020)
2010 – 2019
- 2018
- [c29]Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen:
Matrix-normal models for fMRI analysis. AISTATS 2018: 1914-1923 - 2017
- [j5]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): 901-912 (2017) - [c28]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: 1-7 - [c27]Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov
Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC 2017: 7 - [c26]Brian Friesen
Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. SC 2017: 20 - [c25]Dipanjan Sengupta, Yida Wang
High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors. ISC 2017: 120-138 - [i4]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 abs/1708.05256 (2017) - [i3]Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian
Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies. CoRR abs/1709.00086 (2017) - 2016
- [j4]Alexandru Iosup
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 9(13): 1317-1328 (2016) - [j3]Arif M. Khan, Alex Pothen
Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. 38(5) (2016) - [c24]Yida Wang, Bryn Keller
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - [c23]Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young
GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par 2016: 319-333 - [c22]Subramanya Dulloor, Amitabha Roy, Zheguang Zhao, Narayanan Sundaram, Nadathur Satish, Rajesh Sankaran, Jeff Jackson, Karsten Schwan:
Data tiering in heterogeneous memory systems. EuroSys 2016: 15:1-15:16 - [c21]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: 313-322 - [c20]Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. IPDPS 2016: 494-503 - [c19]Tae Jun Ham, Lisa Wu
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO 2016: 56:1-56:13 - [c18]Arif M. Khan, Alex Pothen
Designing scalable b-Matching algorithms on distributed memory multiprocessors by approximation. SC 2016: 773-783 - [i2]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 abs/1607.08220 (2016) - 2015
- [j2]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): 1214-1225 (2015) - [c17]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: 2171-2180 - [c16]Md. Mostofa Ali Patwary, Surendra Byna
BD-CATS: big data clustering at trillion particle scale. SC 2015: 6:1-6:12 - [c15]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: 14:1-14:4 - [c14]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: 23:1-23:12 - [c13]Jasmina Malicevic, Subramanya Dulloor, Narayanan Sundaram, Nadathur Satish, Jeff Jackson, Willy Zwaenepoel:
Exploiting NVM in large-scale graph analytics. INFLOW@SOSP 2015: 2:1-2:9 - [c12]Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jongsoo Park, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Sergey G. Pudov
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. ISC 2015: 48-57 - [i1]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 abs/1503.07241 (2015) - 2014
- [c11]Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Fredrik Manne, Salman Habib, Pradeep Dubey:
Pardicle: Parallel Approximate Density-Based Clustering. SC 2014: 560-571 - [c10]Rebecca Taft, Manasi Vartak, Nadathur Rajagopalan Satish, Narayanan Sundaram, Samuel Madden, Michael Stonebraker:
GenBase: a complex analytics genomics benchmark. SIGMOD Conference 2014: 177-188 - [c9]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: 979-990 - [c8]Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey:
Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. ISC 2014: 124-140 - 2013
- [j1]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): 1930-1941 (2013) - 2012
- [b1]Narayanan Sundaram:
Making Computer Vision Computationally Efficient. University of California, Berkeley, USA, 2012 - 2011
- [c7]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 - [c6]Narayanan Sundaram, Kurt Keutzer:
Long term video segmentation through pixel level spectral clustering on GPUs. ICCV Workshops 2011: 475-482 - [p1]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, Bor-Yiing Su, Narayanan Sundaram:
PALLAS: Mapping Applications onto Manycore. Multiprocessor System-on-Chip 2011: 89-113 - 2010
- [c5]Narayanan Sundaram, Thomas Brox, Kurt Keutzer:
Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) 2010: 438-451
2000 – 2009
- 2009
- [c4]Nadathur Satish, Narayanan Sundaram, Kurt Keutzer:
Optimizing the use of GPU memory in applications with large data sets. HiPC 2009: 408-418 - [c3]Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer:
Efficient, high-quality image contour detection. ICCV 2009: 2381-2388 - [c2]Narayanan Sundaram, Anand Raghunathan
A framework for efficient and scalable execution of domain-specific templates on GPUs. IPDPS 2009: 1-12 - 2008
- [c1]Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer:
Fast support vector machine training and classification on graphics processors. ICML 2008: 104-111
Coauthor Index
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