Jongsoo Park

75 papers A* 7A 14B 4C 3Misc 1Journal 37Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.
KDD (1)
Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, ZeLiang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen
2025 — conf
Context Parallelism for Scalable Million-Token Inference.
MLSys
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jongsoo Park, Jianyu Huang
2025 J jnl
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.
CoRR
Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Chengze Fan, Dong Liang, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qianru Li, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Sihan Zeng, Siyang Yuan, Tongyi Tang, Weilin Zhang, Wenjun Wang, Xi Liu, Xiaohan Wei, Xiaozhen Xia, Yuchen Hao, Yunlong He, Yasmine Badr, ZeLiang Chen, Maxim Naumov, Yantao Yao, Wenlin Chen, Santanu Kolay, GP Musumeci, Ellie Dingqiao Wen
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
2025 A* conf
Scaling Llama 3 Training with Efficient Parallelism Strategies.
ISCA
Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park
2024 J jnl
Context Parallelism for Scalable Million-Token Inference.
CoRR
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang
2024 — conf
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation.
MLSys
Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2024 J jnl
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation.
CoRR
Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov
2024 — conf
Discovering regional digital innovation tasks to revitalize digital platform government.
DG.O
Min-Seok Bang, Taewoo Nam, Seok-Hyun Song, Hyang-Won Kwon, Jongsoo Park, Kun Yoon, Sung-Soo Hwang, Gyeongseok Oh
2024 A* conf
Wukong: Towards a Scaling Law for Large-Scale Recommendation.
ICML
Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen
2024 J jnl
Wukong: Towards a Scaling Law for Large-Scale Recommendation.
CoRR
Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen
2023 J jnl
75% radiation dose reduction using deep learning reconstruction on low-dose chest CT.
BMC Medical Imaging
Gyeong Deok Jo, Chul Kyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo, Ju Gang Nam
2023 A* conf
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models.
OSDI
Fan Lai, Wei Zhang, Rui Liu, William Tsai, Xiaohan Wei, Yuxi Hu, Sabin Devkota, Jianyu Huang, Jongsoo Park, Xing Liu, ZeLiang Chen, Ellie Wen, Paul Rivera, Jie You, Chun-cheng Jason Chen, Mosharaf Chowdhury
2023 J jnl
MTrainS: Improving DLRM training efficiency using heterogeneous memories.
CoRR
Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald G. Dreslinski, Ehsan K. Ardestani
2023 — conf
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
MLSys
Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
2023 J jnl
Shared Microexponents: A Little Shifting Goes a Long Way.
CoRR
Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov
2023 A* conf
With Shared Microexponents, A Little Shifting Goes a Long Way.
ISCA
Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lai Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia (Summer) Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov
2022 J jnl
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.
CoRR
Buyun Zhang, Liang Luo, Xi Liu, Jay Li, ZeLiang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen
2022 B conf
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.
IEEE Big Data
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
2022 J jnl
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
CoRR
Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
2022 A* conf
Software-hardware co-design for fast and scalable training of deep learning recommendation models.
ISCA
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2022 A* conf
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization.
OSDI
Colin Unger, Zhihao Jia, Wei Wu, Sina Lin, Mandeep Baines, Carlos Efrain Quintero Narvaez, Vinay Ramakrishnaiah, Nirmal Prajapati, Patrick S. McCormick, Jamaludin Mohd-Yusof, Xi Luo, Dheevatsa Mudigere, Jongsoo Park, Misha Smelyanskiy, Alex Aiken
2021 C conf
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.
ICMLA
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021 J jnl
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.
CoRR
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021 J jnl
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.
CoRR
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
2021 J jnl
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference.
CoRR
Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy
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
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
CoRR
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
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
2020 J jnl
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data.
CoRR
Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, ZeLiang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal
2020 J jnl
Mixed-Precision Embedding Using a Cache.
CoRR
Jie Amy Yang, Jianyu Huang, Jongsoo Park, Ping Tak Peter Tang, Andrew Tulloch
2019 J jnl
A Study of BFLOAT16 for Deep Learning Training.
CoRR
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
2019 J jnl
Deep Learning Recommendation Model for Personalization and Recommendation Systems.
CoRR
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy
2019 J jnl
Post-Training 4-bit Quantization on Embedding Tables.
CoRR
Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen
2019 J jnl
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution.
CoRR
Jiecao Yu, Jongsoo Park, Maxim Naumov
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 — conf
Dynamic fine-grained sparse memory accesses.
MEMSYS
Berkin Akin, Chiachen Chou, Jongsoo Park, Christopher J. Hughes, Rajat Agarwal
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
2018 J jnl
HPC formulations of optimization algorithms for tensor completion.
Parallel Comput.
Shaden Smith, Jongsoo Park, George Karypis
2018 J jnl
On Periodic Functions as Regularizers for Quantization of Neural Networks.
CoRR
Maxim Naumov, Utku Diril, Jongsoo Park, Benjamin Ray, Jedrzej Jablonski, Andrew Tulloch
2017 J jnl
Enabling Sparse Winograd Convolution by Native Pruning.
CoRR
Sheng R. Li, Jongsoo Park, Ping Tak Peter Tang
2017 — conf
Faster CNNs with Direct Sparse Convolutions and Guided Pruning.
ICLR (Poster)
Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey
2017 J jnl
Gate scheduling for quantum algorithms.
CoRR
Gian Giacomo Guerreschi, Jongsoo Park
2017 A conf
Sparse Tensor Factorization on Many-Core Processors with High-Bandwidth Memory.
IPDPS
Shaden Smith, Jongsoo Park, George Karypis
2016 A conf
An exploration of optimization algorithms for high performance tensor completion.
SC
Shaden Smith, Jongsoo Park, George Karypis
2016 A conf
Automating wavefront parallelization for sparse matrix computations.
SC
Anand Venkat, Mahdi Soltan Mohammadi, Jongsoo Park, Hongbo Rong, Rajkishore Barik, Michelle Mills Strout, Mary W. Hall
2016 J jnl
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size.
CoRR
Jongsoo Park, Sheng R. Li, Wei Wen, Hai Li, Yiran Chen, Pradeep Dubey
2016 J jnl
Optimizations in a high-performance conjugate gradient benchmark for IA-based multi- and many-core processors.
Int. J. High Perform. Comput. Appl.
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
2016 B conf
Sparso: Context-driven Optimizations of Sparse Linear Algebra.
PACT
Hongbo Rong, Jongsoo Park, Lingxiang Xiang, Todd A. Anderson, Mikhail Smelyanskiy
2015 A conf
Exploring Shared-Memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems.
IPDPS
Dheevatsa Mudigere, Srinivas Sridharan, Anand M. Deshpande, Jongsoo Park, Alexander Heinecke, Mikhail Smelyanskiy, Bharat Kaul, Pradeep Dubey, Dinesh K. Kaushik, David E. Keyes
2015 A conf
High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems.
SC
Jongsoo Park, Mikhail Smelyanskiy, Ulrike Meier Yang, Dheevatsa Mudigere, Pradeep Dubey
2015 A conf
Improving concurrency and asynchrony in multithreaded MPI applications using software offloading.
SC
Karthikeyan Vaidyanathan, Dhiraj D. Kalamkar, Kiran Pamnany, Jeff R. Hammond, Pavan Balaji, Dipankar Das, Jongsoo Park, Bálint Joó
2015 C conf
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms.
ISC
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
2014 A conf
Efficient Shared-Memory Implementation of High-Performance Conjugate Gradient Benchmark and its Application to Unstructured Matrices.
SC
Jongsoo Park, Mikhail Smelyanskiy, Karthikeyan Vaidyanathan, Alexander Heinecke, Dhiraj D. Kalamkar, Xing Liu, Md. Mostofa Ali Patwary, Yutong Lu, Pradeep Dubey
2014 A conf
Improving Communication Performance and Scalability of Native Applications on Intel Xeon Phi Coprocessor Clusters.
IPDPS
Karthikeyan Vaidyanathan, Kiran Pamnany, Dhiraj D. Kalamkar, Alexander Heinecke, Mikhail Smelyanskiy, Jongsoo Park, Daehyun Kim, Aniruddha G. Shet, Bharat Kaul, Bálint Joó, Pradeep Dubey
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 C conf
Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solver.
ISC
Jongsoo Park, Mikhail Smelyanskiy, Narayanan Sundaram, Pradeep Dubey
2014 B conf
Versatile and scalable parallel histogram construction.
PACT
Wookeun Jung, Jongsoo Park, Jaejin Lee
2013 J jnl
A framework for low-communication 1-D FFT.
Sci. Program.
Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov
2013 J jnl
Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis.
Proc. VLDB Endow.
Jiwon Seo, Jongsoo Park, Jaeho Shin, Monica S. Lam
2013 J jnl
Efficient backprojection-based synthetic aperture radar computation with many-core processors.
Sci. Program.
Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
2013 A conf
Location-aware cache management for many-core processors with deep cache hierarchy.
SC
Jongsoo Park, Richard M. Yoo, Daya Shanker Khudia, Christopher J. Hughes, Daehyun Kim
2013 A conf
Tera-scale 1D FFT with low-communication algorithm and Intel® Xeon Phi™ coprocessors.
SC
Jongsoo Park, Ganesh Bikshandi, Karthikeyan Vaidyanathan, Ping Tak Peter Tang, Pradeep Dubey, Daehyun Kim
2012 A conf
A framework for low-communication 1-D FFT.
SC
Ping Tak Peter Tang, Jongsoo Park, Daehyun Kim, Vladimir Petrov
2012 A conf
Billion-particle SIMD-friendly two-point correlation on large-scale HPC cluster systems.
SC
Jatin Chhugani, Changkyu Kim, Hemant Shukla, Jongsoo Park, Pradeep Dubey, John Shalf, Horst D. Simon
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 A conf
Efficient backprojection-based synthetic aperture radar computation with many-core processors.
SC
Jongsoo Park, Ping Tak Peter Tang, Mikhail Smelyanskiy, Daehyun Kim, Thomas Benson
2010 B conf
Buffer-space efficient and deadlock-free scheduling of stream applications on multi-core architectures.
SPAA
Jongsoo Park, William J. Dally
2010 Misc conf
Fine-grain dynamic instruction placement for L0 scratch-pad memory.
CASES
Jongsoo Park, James D. Balfour, William J. Dally
2008 J jnl
A Practical Improvement to the Partial Redundancy Elimination in SSA Form.
J. Comput. Sci. Eng.
Jongsoo Park, Jaejin Lee
2008 J jnl
An Energy-Efficient Processor Architecture for Embedded Systems.
IEEE Comput. Archit. Lett.
James D. Balfour, William J. Dally, David Black-Schaffer, Vishal Parikh, Jongsoo Park
2008 J jnl
Efficient Embedded Computing.
Computer
William J. Dally, James D. Balfour, David Black-Schaffer, James Chen, R. Curtis Harting, Vishal Parikh, Jongsoo Park, David Sheffield
2008 J jnl
Hierarchical Instruction Register Organization.
IEEE Comput. Archit. Lett.
David Black-Schaffer, James D. Balfour, William J. Dally, Vishal Parikh, Jongsoo Park
2007 A conf
Register pointer architecture for efficient embedded processors.
DATE
Jongsoo Park, Sung-Boem Park, James D. Balfour, David Black-Schaffer, Christos Kozyrakis, William J. Dally