Pradeep Dubey

Publication Activity (10 Years)

Years Active: 1979-2023
Publications (10 Years): 43

Top Venues

CoRR

IPDPS

ISC

Publications

Abhisek Kundu, Naveen K. Mellempudi, Dharma Teja Vooturi, Bharat Kaul, Pradeep Dubey
AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks. CoRR (2023)
Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung
Microscaling Data Formats for Deep Learning. CoRR (2023)
Nicolas P. D. Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P. Tabor, David E. Bernal Neira, Alicia B. Magann, Shavindra P. Premaratne, Pradeep Dubey, Anne Y. Matsuura, Nathan Bishop, Wibe A De Jong, Simon Benjamin, Ojas D. Parekh, Norm M. Tubman, Katherine Klymko, Daan Camps
HamLib: A Library of Hamiltonians for Benchmarking Quantum Algorithms and Hardware. QCE (2023)
Paulius Micikevicius, Dusan Stosic, Neil Burgess, Marius Cornea, Pradeep Dubey, Richard Grisenthwaite, Sangwon Ha, Alexander Heinecke, Patrick Judd, John Kamalu, Naveen Mellempudi, Stuart F. Oberman, Mohammad Shoeybi, Michael Y. Siu, Hao Wu
FP8 Formats for Deep Learning. CoRR (2022)
Hongbo Rong, Xiaochen Hao, Yun Liang, Lidong Xu, Hong H. Jiang, Pradeep Dubey
Systolic Computing on GPUs for Productive Performance. CoRR (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
Context-Aware Parse Trees. CoRR (2020)
Yi-Hsiang Lai, Hongbo Rong, Size Zheng, Weihao Zhang, Xiuping Cui, Yunshan Jia, Jie Wang, Brendan Sullivan, Zhiru Zhang, Yun Liang, Youhui Zhang, Jason Cong, Nithin George, Jose Alvarez, Christopher J. Hughes, Pradeep Dubey
SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs. ICCAD (2020)
Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj D. Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey
K-TanH: Hardware Efficient Activations For Deep Learning. CoRR (2019)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
SysML: The New Frontier of Machine Learning Systems. CoRR (2019)
Nitish Kumar Srivastava, Hongbo Rong, Prithayan Barua, Guanyu Feng, Huanqi Cao, Zhiru Zhang, David H. Albonesi, Vivek Sarkar, Wenguang Chen, Paul Petersen, Geoff Lowney, Adam Herr, Christopher J. Hughes, Timothy G. Mattson, Pradeep Dubey
T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations. FCCM (2019)
Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey
A Study of BFLOAT16 for Deep Learning Training. CoRR (2019)
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj D. Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesús Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov
Mixed Precision Training of Convolutional Neural Networks using Integer Operations. ICLR (Poster) (2018)
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj D. Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesús Corbal, Nikita Shustrov, Roman Dubtsov, Evarist Fomenko, Vadim O. Pirogov
Mixed Precision Training of Convolutional Neural Networks using Integer Operations. CoRR (2018)
Srinivas Sridharan, Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Dipankar Das, Mikhail E. Smorkalov, Mikhail Shiryaev, Dheevatsa Mudigere, Naveen Mellempudi, Sasikanth Avancha, Bharat Kaul, Pradeep Dubey
On Scale-out Deep Learning Training for Cloud and HPC. CoRR (2018)
Pradeep Dubey, Siddhartha Sahi, Martin Shubik
Money as minimal complexity. Games Econ. Behav. 108 (2018)
Pradeep Dubey, Siddhartha Sahi, Martin Shubik
Graphical exchange mechanisms. Games Econ. Behav. 108 (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)
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)
Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey
Faster CNNs with Direct Sparse Convolutions and Guided Pruning. ICLR (Poster) (2017)
Naveen Mellempudi, Abhisek Kundu, Dheevatsa Mudigere, Dipankar Das, Bharat Kaul, Pradeep Dubey
Ternary Neural Networks with Fine-Grained Quantization. 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)
Swagath Venkataramani, Ashish Ranjan, Subarno Banerjee, Dipankar Das, Sasikanth Avancha, Ashok Jagannathan, Ajaya Durg, Dheemanth Nagaraj, Bharat Kaul, Pradeep Dubey, Anand Raghunathan
ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks. ISCA (2017)
Abhisek Kundu, Kunal Banerjee, Naveen Mellempudi, Dheevatsa Mudigere, Dipankar Das, Bharat Kaul, Pradeep Dubey
Ternary Residual Networks. CoRR (2017)
Pradeep Dubey
The Quest for The Ultimate Learning Machine. ISPD (2017)
Sheng Li, Hyeontaek Lim, Victor W. Lee, Jung Ho Ahn, Anuj Kalia, Michael Kaminsky, David G. Andersen, Seongil O, Sukhan Lee, Pradeep Dubey
Full-Stack Architecting to Achieve a Billion-Requests-Per-Second Throughput on a Single Key-Value Store Server Platform. ACM Trans. Comput. Syst. 34 (2) (2016)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. CoRR (2016)
Pradeep Dubey, Siddhartha Sahi
Eliciting performance: deterministic versus proportional prizes. Int. J. Game Theory 45 (1-2) (2016)
Sheng Li, Hyeontaek Lim, Victor W. Lee, Jung Ho Ahn, Anuj Kalia, Michael Kaminsky, David G. Andersen, Seongil O, Sukhan Lee, Pradeep Dubey
Achieving One Billion Key-Value Requests per Second on a Single Server. IEEE Micro 36 (3) (2016)
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 (2016)
Alexander Heinecke, Alexander Breuer, Michael Bader, Pradeep Dubey
High Order Seismic Simulations on the Intel Xeon Phi Processor (Knights Landing). ISC (2016)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures. CoRR (2016)
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. IPDPS (2016)
Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Fredrik Manne, Mahantesh Halappanavar, Pradeep Dubey
Efficient Approximation Algorithms for Weighted b-Matching. SIAM J. Sci. Comput. 38 (5) (2016)
Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, Xiangke Liao, Pradeep Dubey
Scaling up Hartree-Fock calculations on Tianhe-2. Int. J. High Perform. Comput. Appl. 30 (1) (2016)
Dipankar Das, Sasikanth Avancha, Dheevatsa Mudigere, Karthikeyan Vaidyanathan, Srinivas Sridharan, Dhiraj D. Kalamkar, Bharat Kaul, Pradeep Dubey
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent. CoRR (2016)
Jongsoo Park, Sheng R. Li, Wei Wen, Hai Li, Yiran Chen, Pradeep Dubey
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size. CoRR (2016)
Arif M. Khan, Alex Pothen, Md. Mostofa Ali Patwary, Mahantesh Halappanavar, Nadathur Rajagopalan Satish, Narayanan Sundaram, Pradeep Dubey
-Matching algorithms on distributed memory multiprocessors by approximation. SC (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)
Jongsoo Park, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Alexander Heinecke, Dhiraj D. Kalamkar, Md. Mostofa Ali Patwary, Vadim O. Pirogov, Pradeep Dubey, Xing Liu, Carlos Rosales, Cyril Mazauric, Christopher S. Daley
Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors. Int. J. High Perform. Comput. Appl. 30 (1) (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)
Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey
BD-CATS: big data clustering at trillion particle scale. 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)
Dheevatsa Mudigere, Srinivas Sridharan, Anand M. Deshpande, Jongsoo Park, Alexander Heinecke, Mikhail Smelyanskiy, Bharat Kaul, Pradeep Dubey, Dinesh K. Kaushik, David E. Keyes
Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems. IPDPS (2015)
Pradeep Dubey, Siddhartha Sahi, Martin Shubik
Money as Minimal Complexity. CoRR (2015)
Pradeep Dubey
Decentralization of a Machine: Some Definitions. CoRR (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)
Jongsoo Park, Mikhail Smelyanskiy, Ulrike Meier Yang, Dheevatsa Mudigere, Pradeep Dubey
High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems. SC (2015)
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
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. ISC (2015)
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 (2015)
Sheng Li, Hyeontaek Lim, Victor W. Lee, Jung Ho Ahn, Anuj Kalia, Michael Kaminsky, David G. Andersen, Seongil O, Sukhan Lee, Pradeep Dubey
Architecting to achieve a billion requests per second throughput on a single key-value store server platform. ISCA (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)
R. Glenn Brook, Alexander Heinecke, Anthony B. Costa, Paul Peltz Jr., Vincent C. Betro, Troy Baer, Michael Bader, Pradeep Dubey
Beacon: Deployment and Application of Intel Xeon Phi Coprocessorsfor Scientific Computing. Comput. Sci. Eng. 17 (2) (2015)
Pradeep Dubey, Siddhartha Sahi, Martin Shubik
Graphical Exchange Mechanisms. CoRR (2015)
Karthikeyan Vaidyanathan, Kiran Pamnany, Dhiraj D. Kalamkar, Alexander Heinecke, Mikhail Smelyanskiy, Jongsoo Park, Daehyun Kim, Aniruddha G. Shet, Bharat Kaul, Bálint Joó, Pradeep Dubey
Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters. IPDPS (2014)
Jongsoo Park, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Alexander Heinecke, Dhiraj D. Kalamkar, Xing Liu, Md. Mostofa Ali Patwary, Yutong Lu, Pradeep Dubey
Efficient Shared-Memory Implementation of High-Performance Conjugate Gradient Benchmark and its Application to Unstructured Matrices. SC (2014)
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)
Kenneth Czechowski, Victor W. Lee, Ed Grochowski, Ronny Ronen, Ronak Singhal, Richard W. Vuduc, Pradeep Dubey
Improving the energy efficiency of Big Cores. ISCA (2014)
Simon Heybrock, Bálint Joó, Dhiraj D. Kalamkar, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Tilo Wettig, Pradeep Dubey
Lattice QCD with Domain Decomposition on Intel® Xeon Phi Co-Processors. SC (2014)
Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey
Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver. ISC (2014)
Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Fredrik Manne, Salman Habib, Pradeep Dubey
Pardicle: Parallel Approximate Density-Based Clustering. SC (2014)
Alexander Heinecke, Alexander Breuer, Sebastian Rettenberger, Michael Bader, Alice-Agnes Gabriel, Christian Pelties, Arndt Bode, William Barth, Xiangke Liao, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Pradeep Dubey
Petascale High Order Dynamic Rupture Earthquake Simulations on Heterogeneous Supercomputers. SC (2014)
Bálint Joó, Dhiraj D. Kalamkar, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Kiran Pamnany, Victor W. Lee, Pradeep Dubey, William A. Watson III
Lattice QCD on Intel® Xeon PhiTM Coprocessors. ISC (2013)
Jongsoo Park, Ganesh Bikshandi, Karthikeyan Vaidyanathan, Ping Tak Peter Tang, Pradeep Dubey, Daehyun Kim
Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors. SC (2013)
Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey
Efficient sparse matrix-vector multiplication on x86-based many-core processors. ICS (2013)
Alexander Heinecke, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Alexander Kobotov, Roman Dubtsov, Greg Henry, Aniruddha G. Shet, George Chrysos, Pradeep Dubey
Design and Implementation of the Linpack Benchmark for Single and Multi-node Systems Based on Intel® Xeon Phi Coprocessor. IPDPS (2013)
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)
Michael Stonebraker, Sam Madden, Pradeep Dubey
Intel "big data" science and technology center vision and execution plan. SIGMOD Rec. 42 (1) (2013)
Abhinav Golas, Rahul Narain, Jason Sewall, Pavel Krajcevski, Pradeep Dubey, Ming C. Lin
Large-scale fluid simulation using velocity-vorticity domain decomposition. ACM Trans. Graph. 31 (6) (2012)
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)
Jatin Chhugani, Changkyu Kim, Hemant Shukla, Jongsoo Park, Pradeep Dubey, John Shalf, Horst D. Simon
Billion-particle SIMD-friendly two-point correlation on large-scale HPC cluster systems. SC (2012)
Samuel Williams, Dhiraj D. Kalamkar, Amik Singh, Anand M. Deshpande, Brian van Straalen, Mikhail Smelyanskiy, Ann S. Almgren, Pradeep Dubey, John Shalf, Leonid Oliker
Optimization of geometric multigrid for emerging multi- and manycore processors. SC (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)
Dhiraj D. Kalamkar, Joshua D. Trzasko, Srinivas Sridharan, Mikhail Smelyanskiy, Daehyun Kim, Armando Manduca, Yunhong Shu, Matt A. Bernstein, Bharat Kaul, Pradeep Dubey
High Performance Non-uniform FFT on Modern X86-based Multi-core Systems. IPDPS (2012)
Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca
High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures. Int. J. Biomed. Imaging 2011 (2011)
Jason Sewall, David Wilkie, Ming C. Lin, Pradeep Dubey
Interactive hybrid simulation of large-scale traffic. SIGGRAPH Talks (2011)
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)
Pradeep Dubey, Pat Hanrahan, Ronald Fedkiw, Michael Lentine, Craig A. Schroeder
PhysBAM: physically based simulation. SIGGRAPH Courses (2011)
Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Jee W. Choi, Bálint Joó, Jatin Chhugani, Michael A. Clark, Pradeep Dubey
High-performance lattice QCD for multi-core based parallel systems using a cache-friendly hybrid threaded-MPI approach. SC (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)
Michael Deisher, Mikhail Smelyanskiy, Brian Nickerson, Victor W. Lee, Michael Chuvelev, Pradeep Dubey
Designing and dynamically load balancing hybrid LU for multi/many-core. Comput. Sci. Res. Dev. 26 (3-4) (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 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)
Pradeep Dubey, John Geanakoplos
Grading exams: 100, 99, 98, ... or A, B, C? Games Econ. Behav. 69 (1) (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)
John Geanakoplos, Pradeep Dubey
Credit cards and inflation. Games Econ. Behav. 70 (2) (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)
Stephen J. Guy, Jatin Chhugani, Sean Curtis, Pradeep Dubey, Ming C. Lin, Dinesh Manocha
PLEdestrians: A Least-Effort Approach to Crowd Simulation. Symposium on Computer Animation (2010)
Pradeep Dubey, Eric Maskin, Yair Tauman
A celebration of Robert Aumann's achievements on the occasion of his 80th birthday. Games Econ. Behav. 69 (1) (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)

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Publication Activity (10 Years)

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Pradeep Dubey