Nadathur Satish

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 20

Top Topics

Correlation Function

Scientific Data

Top Venues

Proc. VLDB Endow.

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)
Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41 (5) (2021)
Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR (2021)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR (2018)
Nadav Rotem, Jordan Fix, Saleem Abdulrasool, Summer Deng, Roman Dzhabarov, James Hegeman, Roman Levenstein, Bert Maher, Nadathur Satish, Jakob Olesen, Jongsoo Park, Artem Rakhov, Misha Smelyanskiy
Glow: Graph Lowering Compiler Techniques for Neural Networks. CoRR (2018)
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)
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Onur Mutlu, Srinivas Devadas
Banshee: bandwidth-efficient DRAM caching via software/hardware cooperation. MICRO (2017)
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Onur Mutlu, Srinivas Devadas
Banshee: Bandwidth-Efficient DRAM Caching Via Software/Hardware Cooperation. CoRR (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)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. CoRR (2016)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures. CoRR (2016)
Scott Sallinen, Nadathur Satish, Mikhail Smelyanskiy, Samantika S. Sury, Christopher Ré
High Performance Parallel Stochastic Gradient Descent in Shared Memory. IPDPS (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)
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)
Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies. ICLR (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)
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)
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Srinivas Devadas
IMP: indirect memory prefetcher. MICRO (2015)
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey
Can traditional programming bridge the ninja performance gap for parallel computing applications? Commun. ACM 58 (5) (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)
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)
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Pradeep Dubey
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing. SC (2012)
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey
Can traditional programming bridge the Ninja performance gap for parallel computing applications? ISCA (2012)
Jatin Chhugani, Nadathur Satish, Changkyu Kim, Jason Sewall, Pradeep Dubey
Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency. IPDPS (2012)
Victor C. Valgenti, Jatin Chhugani, Yan Sun, Nadathur Satish, Min Sik Kim, Changkyu Kim, Pradeep Dubey
GPP-Grep: High-Speed Regular Expression Processing Engine on General Purpose Processors. RAID (2012)
Mikhail Smelyanskiy, Jason Sewall, Dhiraj D. Kalamkar, Nadathur Satish, Pradeep Dubey, Nikita Astafiev, Ilya Burylov, Andrey Nikolaev, Sergey Maidanov, Shuo Li, Sunil Kulkarni, Charles H. Finan, Ekaterina Gonina
Analysis and Optimization of Financial Analytics Benchmark on Modern Multi- and Many-core IA-Based Architectures. SC Companion (2012)
Venkatraman Govindaraju, Chen-Han Ho, Tony Nowatzki, Jatin Chhugani, Nadathur Satish, Karthikeyan Sankaralingam, Changkyu Kim
DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing. IEEE Micro 32 (5) (2012)
Changkyu Kim, Jongsoo Park, Nadathur Satish, Hongrae Lee, Pradeep Dubey, Jatin Chhugani
CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster. SIGMOD Conference (2012)
Jason Sewall, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Pradeep Dubey
PALM: Parallel Architecture-Friendly Latch-Free Modifications to B+ Trees on Many-Core Processors. Proc. VLDB Endow. 4 (11) (2011)
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey
Designing fast architecture-sensitive tree search on modern multicore/many-core processors. ACM Trans. Database Syst. 36 (4) (2011)
Jens Krüger, Changkyu Kim, Martin Grund, Nadathur Satish, David Schwalb, Jatin Chhugani, Hasso Plattner, Pradeep Dubey, Alexander Zeier
Fast Updates on Read-Optimized Databases Using Multi-Core CPUs. Proc. VLDB Endow. 5 (1) (2011)
Jens Krüger, Changkyu Kim, Martin Grund, Nadathur Satish, David Schwalb, Jatin Chhugani, Hasso Plattner, Pradeep Dubey, Alexander Zeier
Fast Updates on Read-Optimized Databases Using Multi-Core CPUs CoRR (2011)
Anthony D. Nguyen, Nadathur Satish, Jatin Chhugani, Changkyu Kim, Pradeep Dubey
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs. SC (2010)
Victor W. Lee, Changkyu Kim, Jatin Chhugani, Michael Deisher, Daehyun Kim, Anthony D. Nguyen, Nadathur Satish, Mikhail Smelyanskiy, Srinivas Chennupaty, Per Hammarlund, Ronak Singhal, Pradeep Dubey
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. ISCA (2010)
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey
FAST: fast architecture sensitive tree search on modern CPUs and GPUs. SIGMOD Conference (2010)
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Pradeep Dubey
Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort. SIGMOD Conference (2010)
Changkyu Kim, Eric Sedlar, Jatin Chhugani, Tim Kaldewey, Anthony D. Nguyen, Andrea Di Blas, Victor W. Lee, Nadathur Satish, Pradeep Dubey
Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs. Proc. VLDB Endow. 2 (2) (2009)
Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming C. Lin, Dinesh Manocha, Pradeep Dubey
ClearPath: highly parallel collision avoidance for multi-agent simulation. Symposium on Computer Animation (2009)
Ming C. Lin, Stephen J. Guy, Rahul Narain, Jason Sewall, Sachin Patil, Jatin Chhugani, Abhinav Golas, Jur P. van den Berg, Sean Curtis, David Wilkie, Paul Merrell, Changkyu Kim, Nadathur Satish, Pradeep Dubey, Dinesh Manocha
Interactive Modeling, Simulation and Control of Large-Scale Crowds and Traffic. MIG (2009)
Nadathur Satish, Mark J. Harris, Michael Garland
Designing efficient sorting algorithms for manycore GPUs. IPDPS (2009)
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
Optimizing the use of GPU memory in applications with large data sets. HiPC (2009)
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
Scheduling task dependence graphs with variable task execution times onto heterogeneous multiprocessors. EMSOFT (2008)
Jike Chong, Nadathur Satish, Bryan Catanzaro, Kaushik Ravindran, Kurt Keutzer
Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling. ICME (2007)
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multiprocessors. DATE (2007)
Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer
Soft multiprocessor systems for network applications (abstract only). FPGA (2005)
Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
An automated exploration framework for FPGA-based soft multiprocessor systems. CODES+ISSS (2005)
Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer
An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. FPL (2005)