Nadathur Satish

58 papers A* 8A 15B 1C 1Misc 3Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction.
CoRR
Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su, Yunjie Pan, Hanmei Yang, Aayush Ankit, Jiecao Yu, Summer Deng, Yunqing Chen, Nadathur Satish, Changkyu Kim
2025 A* conf
Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences.
ISCA
Joel Coburn, Chunqiang Tang, Sameer Abu Asal, Neeraj Agrawal, Raviteja Chinta, Harish Dattatraya Dixit, Brian Dodds, Saritha Dwarakapuram, Amin Firoozshahian, Cao Gao, Kaustubh Gondkar, Tyler Graf, Junhan Hu, Jian Huang, Sterling Hughes, Adam Hutchin, Bhasker Jakka, Guoqiang Jerry Chen, Indu Kalyanaraman, Ashwin Kamath, Pankaj Kansal, Erum Kazi, Roman Levenstein, Mahesh Maddury, Alex Mastro, Siji Medaiyese, Pritesh Modi, Jack Montgomery, Nadathur Satish, Amit Nagpal, Ashwin Narasimha, Maxim Naumov, Eleanor Ozer, Jongsoo Park, Poorvaja Ramani, Harikrishna Reddy, David Reiss, Deboleena Roy, Sathish Sekar, Arushi Sharma, Pavan Shetty, Aravind Sukumaran-Rajam, Eran Tal, Mike Tsai, Shreya Varshini, Richard Wareing, Olívia Wu, Xiaolong Xie, Jinghan Yang, Hangchen Yu, Tanmay Zargar, Zitong Zeng, Feixiong Zhang, Ajit Mathews, Xun Jiao, Jiyuan Zhang, Emmanuel Menage, Truls Edvard Stokke, Mohammed Sourouri
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.
2021 J jnl
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale.
CoRR
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
2021 J jnl
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale.
IEEE Micro
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
2019 J jnl
Parallelizing Word2Vec in Shared and Distributed Memory.
IEEE Trans. Parallel Distributed Syst.
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
2018 J jnl
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.
CoRR
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
2018 J jnl
Glow: Graph Lowering Compiler Techniques for Neural Networks.
CoRR
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
2017 J jnl
Banshee: Bandwidth-Efficient DRAM Caching Via Software/Hardware Cooperation.
CoRR
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Onur Mutlu, Srinivas Devadas
2017 A* conf
Banshee: bandwidth-efficient DRAM caching via software/hardware cooperation.
MICRO
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Onur Mutlu, Srinivas Devadas
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 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
2016 A* conf
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.
ICLR
Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey
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
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 A conf
High Performance Parallel Stochastic Gradient Descent in Shared Memory.
IPDPS
Scott Sallinen, Nadathur Satish, Mikhail Smelyanskiy, Samantika S. Sury, Christopher Ré
2016 J jnl
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures.
CoRR
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
2016 J jnl
Parallelizing Word2Vec in Shared and Distributed Memory.
CoRR
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
2015 J jnl
Can traditional programming bridge the ninja performance gap for parallel computing applications?
Commun. ACM
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, 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.
Proc. VLDB Endow.
Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey
2015 A* conf
IMP: indirect memory prefetcher.
MICRO
Xiangyao Yu, Christopher J. Hughes, Nadathur Satish, Srinivas Devadas
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 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
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
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 — conf
Analysis and Optimization of Financial Analytics Benchmark on Modern Multi- and Many-core IA-Based Architectures.
SC Companion
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
2012 A* conf
Can traditional programming bridge the Ninja performance gap for parallel computing applications?
ISCA
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Hideki Saito, Rakesh Krishnaiyer, Mikhail Smelyanskiy, Milind Girkar, Pradeep Dubey
2012 — conf
CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster.
SIGMOD Conference
Changkyu Kim, Jongsoo Park, Nadathur Satish, Hongrae Lee, Pradeep Dubey, Jatin Chhugani
2012 J jnl
DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing.
IEEE Micro
Venkatraman Govindaraju, Chen-Han Ho, Tony Nowatzki, Jatin Chhugani, Nadathur Satish, Karthikeyan Sankaralingam, Changkyu Kim
2012 A conf
Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency.
IPDPS
Jatin Chhugani, Nadathur Satish, Changkyu Kim, Jason Sewall, Pradeep Dubey
2012 A conf
GPP-Grep: High-Speed Regular Expression Processing Engine on General Purpose Processors.
RAID
Victor C. Valgenti, Jatin Chhugani, Yan Sun, Nadathur Satish, Min Sik Kim, Changkyu Kim, Pradeep Dubey
2012 A conf
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing.
SC
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Pradeep Dubey
2011 J jnl
Designing fast architecture-sensitive tree search on modern multicore/many-core processors.
ACM Trans. Database Syst.
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey
2011 J jnl
Fast Updates on Read-Optimized Databases Using Multi-Core CPUs
CoRR
Jens Krüger, Changkyu Kim, Martin Grund, Nadathur Satish, David Schwalb, Jatin Chhugani, Hasso Plattner, Pradeep Dubey, Alexander Zeier
2011 J jnl
Fast Updates on Read-Optimized Databases Using Multi-Core CPUs.
Proc. VLDB Endow.
Jens Krüger, Changkyu Kim, Martin Grund, Nadathur Satish, David Schwalb, Jatin Chhugani, Hasso Plattner, Pradeep Dubey, Alexander Zeier
2011 J jnl
PALM: Parallel Architecture-Friendly Latch-Free Modifications to B+ Trees on Many-Core Processors.
Proc. VLDB Endow.
Jason Sewall, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Pradeep Dubey
2010 A conf
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs.
SC
Anthony D. Nguyen, Nadathur Satish, Jatin Chhugani, Changkyu Kim, Pradeep Dubey
2010 A* conf
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU.
ISCA
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
2010 — conf
FAST: fast architecture sensitive tree search on modern CPUs and GPUs.
SIGMOD Conference
Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey
2010 — conf
Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort.
SIGMOD Conference
Nadathur Satish, Changkyu Kim, Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Pradeep Dubey
2009 — conf
ClearPath: highly parallel collision avoidance for multi-agent simulation.
Symposium on Computer Animation
Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming C. Lin, Dinesh Manocha, Pradeep Dubey
2009 A conf
Designing efficient sorting algorithms for manycore GPUs.
IPDPS
Nadathur Satish, Mark J. Harris, Michael Garland
2009 C conf
Interactive Modeling, Simulation and Control of Large-Scale Crowds and Traffic.
MIG
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
2009 Misc conf
Optimizing the use of GPU memory in applications with large data sets.
HiPC
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
2009 J jnl
Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs.
Proc. VLDB Endow.
Changkyu Kim, Eric Sedlar, Jatin Chhugani, Tim Kaldewey, Anthony D. Nguyen, Andrea Di Blas, Victor W. Lee, Nadathur Satish, Pradeep Dubey
2008 Misc conf
Scheduling task dependence graphs with variable task execution times onto heterogeneous multiprocessors.
EMSOFT
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
2007 A conf
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multiprocessors.
DATE
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
2007 A conf
Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling.
ICME
Jike Chong, Nadathur Satish, Bryan Catanzaro, Kaushik Ravindran, Kurt Keutzer
2005 B conf
An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding.
FPL
Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer
2005 Misc conf
An automated exploration framework for FPGA-based soft multiprocessor systems.
CODES+ISSS
Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
2005 A conf
Soft multiprocessor systems for network applications (abstract only).
FPGA
Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer