An automated exploration framework for FPGA-based soft multiprocessor systems. - Yujia Jin; Nadathur Satish; Kaushik Ravindran; Kurt Keutzer (CODES+ISSS, 2005)

Soft multiprocessor systems for network applications (abstract only). - Yujia Jin; William Plishker; Kaushik Ravindran; Nadathur Satish; Kurt Keutzer (FPGA, 2005)

An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. - Kaushik Ravindran; Nadathur Satish; Yujia Jin; Kurt Keutzer (FPL, 2005)

A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multiprocessors. - Nadathur Satish; Kaushik Ravindran; Kurt Keutzer (DATE, 2007)

Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling. - Jike Chong; Nadathur Satish; Bryan Catanzaro; Kaushik Ravindran; Kurt Keutzer (ICME, 2007)

Scheduling task dependence graphs with variable task execution times onto heterogeneous multiprocessors. - Nadathur Satish; Kaushik Ravindran; Kurt Keutzer (EMSOFT, 2008)

Optimizing the use of GPU memory in applications with large data sets. - Nadathur Satish; Narayanan Sundaram; Kurt Keutzer (HiPC, 2009)

Designing efficient sorting algorithms for manycore GPUs. - Nadathur Satish; Mark J. Harris; Michael Garland (IPDPS, 2009)

Interactive Modeling, Simulation and Control of Large-Scale Crowds and Traffic. - 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; et al. (MIG, 2009)

ClearPath: highly parallel collision avoidance for multi-agent simulation. - Stephen J. Guy; Jatin Chhugani; Changkyu Kim; Nadathur Satish; Ming C. Lin; Dinesh Manocha; Pradeep Dubey (Symposium on Computer Animation, 2009)

Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs. - Changkyu Kim; Eric Sedlar; Jatin Chhugani; Tim Kaldewey; Anthony D. Nguyen; Andrea Di Blas; Victor W. Lee; Nadathur Satish; Pradeep Dubey (Proc. VLDB Endow., 2009)

Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. - Victor W. Lee; Changkyu Kim; Jatin Chhugani; Michael Deisher; Daehyun Kim 001; Anthony D. Nguyen; Nadathur Satish; Mikhail Smelyanskiy; Srinivas Chennupaty; Per Hammarlund; Ronak Singhal; Pradeep Dubey (ISCA, 2010)

3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs. - Anthony D. Nguyen; Nadathur Satish; Jatin Chhugani; Changkyu Kim; Pradeep Dubey (SC, 2010)

FAST: fast architecture sensitive tree search on modern CPUs and GPUs. - Changkyu Kim; Jatin Chhugani; Nadathur Satish; Eric Sedlar; Anthony D. Nguyen; Tim Kaldewey; Victor W. Lee; Scott A. Brandt; Pradeep Dubey (SIGMOD Conference, 2010)

Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort. - Nadathur Satish; Changkyu Kim; Jatin Chhugani; Anthony D. Nguyen; Victor W. Lee; Daehyun Kim 001; Pradeep Dubey (SIGMOD Conference, 2010)

Fast Updates on Read-Optimized Databases Using Multi-Core CPUs. - Jens Krüger 003; Changkyu Kim; Martin Grund; Nadathur Satish; David Schwalb; Jatin Chhugani; Hasso Plattner; Pradeep Dubey; Alexander Zeier (Proc. VLDB Endow., 2011)

PALM: Parallel Architecture-Friendly Latch-Free Modifications to B+ Trees on Many-Core Processors. - Jason Sewall; Jatin Chhugani; Changkyu Kim; Nadathur Satish; Pradeep Dubey (Proc. VLDB Endow., 2011)

Designing fast architecture-sensitive tree search on modern multicore/many-core processors. - Changkyu Kim; Jatin Chhugani; Nadathur Satish; Eric Sedlar; Anthony D. Nguyen; Tim Kaldewey; Victor W. Lee; Scott A. Brandt; Pradeep Dubey (ACM Trans. Database Syst., 2011)

Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency. - Jatin Chhugani; Nadathur Satish; Changkyu Kim; Jason Sewall; Pradeep Dubey (IPDPS, 2012)

GPP-Grep: High-Speed Regular Expression Processing Engine on General Purpose Processors. - Victor C. Valgenti; Jatin Chhugani; Yan Sun 006; Nadathur Satish; Min Sik Kim; Changkyu Kim; Pradeep Dubey (RAID, 2012)

Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing. - Nadathur Satish; Changkyu Kim; Jatin Chhugani; Pradeep Dubey (SC, 2012)

Analysis and Optimization of Financial Analytics Benchmark on Modern Multi- and Many-core IA-Based Architectures. - 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; et al. (SC Companion, 2012)

CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster. - Changkyu Kim; Jongsoo Park; Nadathur Satish; Hongrae Lee; Pradeep Dubey; Jatin Chhugani (SIGMOD Conference, 2012)

DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing. - Venkatraman Govindaraju; Chen-Han Ho; Tony Nowatzki; Jatin Chhugani; Nadathur Satish; Karthikeyan Sankaralingam; Changkyu Kim (IEEE Micro, 2012)

Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing. - Narayanan Sundaram; Aizana Turmukhametova; Nadathur Satish; Todd Mostak; Piotr Indyk; Samuel Madden 001; Pradeep Dubey (Proc. VLDB Endow., 2013)

Pardicle: Parallel Approximate Density-Based Clustering. - Md. Mostofa Ali Patwary; Nadathur Satish; Narayanan Sundaram; Fredrik Manne; Salman Habib; Pradeep Dubey (SC, 2014)

Navigating the maze of graph analytics frameworks using massive graph datasets. - Nadathur Satish; Narayanan Sundaram; Md. Mostofa Ali Patwary; Jiwon Seo 002; Jongsoo Park; Muhammad Amber Hassaan; Shubho Sengupta; Zhaoming Yin; Pradeep Dubey (SIGMOD Conference, 2014)

GenBase: a complex analytics genomics benchmark. - Rebecca Taft; Manasi Vartak; Nadathur Rajagopalan Satish; Narayanan Sundaram; Samuel Madden 001; Michael Stonebraker (SIGMOD Conference, 2014)

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 (ICML, 2015)

IMP: indirect memory prefetcher. - Xiangyao Yu; Christopher J. Hughes; Nadathur Satish; Srinivas Devadas (MICRO, 2015)

Improving graph partitioning for modern graphs and architectures. - Dominique LaSalle; Md. Mostofa Ali Patwary; Nadathur Satish; Narayanan Sundaram; Pradeep Dubey; George Karypis (IA3@SC, 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 (SC, 2015)

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. - Yida Wang 003; Michael J. Anderson; Jonathan D. Cohen 003; Alexander Heinecke; Kai Li 001; Nadathur Satish; Narayanan Sundaram; Nicholas B. Turk-Browne; Theodore L. Willke (SC, 2015)

Exploiting NVM in large-scale graph analytics. - Jasmina Malicevic; Subramanya Dulloor; Narayanan Sundaram; Nadathur Satish; Jeff Jackson; Willy Zwaenepoel (INFLOW@SOSP, 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 002; Sergey G. Pudov; Vadim O. Pirogov; Pradeep Dubey (ISC, 2015)

Can traditional programming bridge the ninja performance gap for parallel computing applications? - Nadathur Satish; Changkyu Kim; Jatin Chhugani; Hideki Saito 001; Rakesh Krishnaiyer; Mikhail Smelyanskiy; Milind Girkar; Pradeep Dubey (Commun. ACM, 2015)

GraphMat: High performance graph analytics made productive. - Narayanan Sundaram; Nadathur Rajagopalan Satish; Md. Mostofa Ali Patwary; Subramanya Dulloor; Satya Gautam Vadlamudi; Dipankar Das 002; Pradeep Dubey (CoRR, 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 002; Pradeep Dubey (Proc. VLDB Endow., 2015)

Data tiering in heterogeneous memory systems. - Subramanya Dulloor; Amitabha Roy 002; Zheguang Zhao; Narayanan Sundaram; Nadathur Satish; Rajesh Sankaran; Jeff Jackson; Karsten Schwan (EuroSys, 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 (IPDPS, 2016)

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. - Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Jialin Liu 002; Peter J. Sadowski; Evan Racah; Surendra Byna; Craig Tull; Wahid Bhimji; Prabhat; Pradeep Dubey (IPDPS, 2016)

High Performance Parallel Stochastic Gradient Descent in Shared Memory. - Scott Sallinen; Nadathur Satish; Mikhail Smelyanskiy; Samantika S. Sury; Christopher Ré (IPDPS, 2016)

Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. - Tae Jun Ham; Lisa Wu 001; Narayanan Sundaram; Nadathur Satish; Margaret Martonosi (MICRO, 2016)

Designing scalable b-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 (SC, 2016)

Parallelizing Word2Vec in Multi-Core and Many-Core Architectures. - Shihao Ji 001; Nadathur Satish; Sheng Li 007; Pradeep Dubey (CoRR, 2016)

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies. - Shihao Ji 001; S. V. N. Vishwanathan; Nadathur Satish; Michael J. Anderson; Pradeep Dubey (ICLR, 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)

Banshee: bandwidth-efficient DRAM caching via software/hardware cooperation. - Xiangyao Yu; Christopher J. Hughes; Nadathur Satish; Onur Mutlu; Srinivas Devadas (MICRO, 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 (SC, 2017)

Deep learning at 15PF: supervised and semi-supervised classification for scientific data. - Thorsten Kurth; Jian Zhang 049; Nadathur Satish; Evan Racah; Ioannis Mitliagkas; Md. Mostofa Ali Patwary; Tareq M. Malas; Narayanan Sundaram; Wahid Bhimji; Mikhail Smorkalov; Jack Deslippe; Mikhail Shiryaev; et al. (SC, 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)

Glow: Graph Lowering Compiler Techniques for Neural Networks. - Nadav Rotem; Jordan Fix; Saleem Abdulrasool; Summer Deng; Roman Dzhabarov; James Hegeman; Roman Levenstein; Bert Maher; Nadathur Satish; Jakob Olesen; Jongsoo Park; Artem Rakhov; et al. (CoRR, 2018)

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. - 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; et al. (CoRR, 2018)

Parallelizing Word2Vec in Shared and Distributed Memory. - Shihao Ji 001; Nadathur Satish; Sheng Li 007; Pradeep Dubey (IEEE Trans. Parallel Distributed Syst., 2019)

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; et al. (CoRR, 2021)

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. - 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; et al. (IEEE Micro, 2021)

Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences. - 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; et al. (ISCA, 2025)