Changkyu Kim

56 papers A* 10A 8B 3C 2Misc 3Journal 25Unranked 5
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 J jnl
Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions.
CoRR
Bangsheng Tang, Carl Chengyan Fu, Fei Kou, Grigory Sizov, Haoci Zhang, Jason Park, Jiawen Liu, Jie You, Qirui Yang, Sachin Mehta, Shengyong Cai, Xiaodong Wang, Xingyu Liu, Yunlu Li, Yanjun Zhou, Wei Wei, Zhiwei Zhao, Zixi Qi, Adolfo Victoria, Aya Ibrahim, Bram Wasti, Changkyu Kim, Daniel Haziza, Fei Sun, Giancarlo Delfin, Emily Guo, Jialin Ouyang, Jaewon Lee, Jianyu Huang, Jeremy Reizenstein, Lu Fang, Quinn Zhu, Ria Verma, Vlad Mihailescu, Xingwen Guo, Yan Cui, Ye Hu, Yejin Lee
2022 Misc conf
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
HIPC
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 B conf
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
ISPASS
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 J jnl
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
CoRR
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022 A conf
Supporting Massive DLRM Inference through Software Defined Memory.
ICDCS
Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao
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
2021 J jnl
Supporting Massive DLRM Inference Through Software Defined Memory.
CoRR
Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao
2020 J jnl
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems.
CoRR
Maxim Naumov, John Kim, Dheevatsa Mudigere, Srinivas Sridharan, Xiaodong Wang, Whitney Zhao, Serhat Yilmaz, Changkyu Kim, Hector Yuen, Mustafa Ozdal, Krishnakumar Nair, Isabel Gao, Bor-Yiing Su, Jiyan Yang, Mikhail Smelyanskiy
2018 A* conf
WSMeter: A Performance Evaluation Methodology for Google's Production Warehouse-Scale Computers.
ASPLOS
Jaewon Lee, Changkyu Kim, Kun Lin, Liqun Cheng, Rama Govindaraju, Jangwoo Kim
2016 A* conf
Using SSDs to scale up Google Fusion Tables, a database-in-the-cloud.
ICDE
Yingyi Bu, Felix Halim, Changkyu Kim, Hongrae Lee, Jayant Madhavan
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
2014 — conf
Author retrospective for a NUCA substrate for flexible CMP cache sharing.
ICS 25th Anniversary
Jaehyuk Huh, Changkyu Kim, Hazim Shafi, Lixin Zhang, Doug Burger, Stephen W. Keckler
2014 Misc conf
Joint interference and user association optimization in cellular wireless networks.
ACSSC
Changkyu Kim, Russell Ford, Sundeep Rangan
2013 J jnl
Joint Interference and User Association Optimization in Cellular Wireless Networks
CoRR
Changkyu Kim, Russell Ford, Yanjia Qi, Sundeep Rangan
2013 B conf
Locality-aware task management for unstructured parallelism: a quantitative limit study.
SPAA
Richard M. Yoo, Christopher J. Hughes, Changkyu Kim, Yen-Kuang Chen, Christos Kozyrakis
2013 J jnl
Opportunistic Third-Party Backhaul for Cellular Wireless Networks
CoRR
Russell Ford, Changkyu Kim, Sundeep Rangan
2013 Misc conf
Opportunistic third-party backhaul for cellular wireless networks.
ACSSC
Russell Ford, Changkyu Kim, Sundeep Rangan
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 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 A* conf
Moguls: a model to explore the memory hierarchy for bandwidth improvements.
ISCA
Guangyu Sun, Christopher J. Hughes, Changkyu Kim, Jishen Zhao, Cong Xu, Yuan Xie, Yen-Kuang Chen
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
2010 J jnl
Performance and Energy Implications of Many-Core Caches for Throughput Computing.
IEEE Micro
Christopher J. Hughes, Changkyu Kim, Yen-Kuang Chen
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
Efficient shared cache management through sharing-aware replacement and streaming-aware insertion policy.
IPDPS
Yu Chen, Wenlong Li, Changkyu Kim, Zhizhong Tang
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 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 A* conf
Atomic Vector Operations on Chip Multiprocessors.
ISCA
Sanjeev Kumar, Daehyun Kim, Mikhail Smelyanskiy, Yen-Kuang Chen, Jatin Chhugani, Christopher J. Hughes, Changkyu Kim, Victor W. Lee, Anthony D. Nguyen
2008 J jnl
Multitasking workload scheduling on flexible core chip multiprocessors.
SIGARCH Comput. Archit. News
Divya Gulati, Changkyu Kim, Simha Sethumadhavan, Stephen W. Keckler, Doug Burger
2008 B conf
Multitasking workload scheduling on flexible-core chip multiprocessors.
PACT
Divya Gulati, Changkyu Kim, Simha Sethumadhavan, Stephen W. Keckler, Doug Burger
2008 J jnl
Second Life and the New Generation of Virtual Worlds.
Computer
Sanjeev Kumar, Jatin Chhugani, Changkyu Kim, Daehyun Kim, Anthony D. Nguyen, Pradeep Dubey, Christian Bienia, Youngmin Kim
2007 J jnl
A NUCA Substrate for Flexible CMP Cache Sharing.
IEEE Trans. Parallel Distributed Syst.
Jaehyuk Huh, Changkyu Kim, Hazim Shafi, Lixin Zhang, Doug Burger, Stephen W. Keckler
2007 A* conf
Composable Lightweight Processors.
MICRO
Changkyu Kim, Simha Sethumadhavan, M. S. Govindan, Nitya Ranganathan, Divya Gulati, Doug Burger, Stephen W. Keckler
2007 J jnl
On-Chip Interconnection Networks of the TRIPS Chip.
IEEE Micro
Paul Gratz, Changkyu Kim, Karthikeyan Sankaralingam, Heather Hanson, Premkishore Shivakumar, Stephen W. Keckler, Doug Burger
2006 A* conf
Distributed Microarchitectural Protocols in the TRIPS Prototype Processor.
MICRO
Karthikeyan Sankaralingam, Ramadass Nagarajan, Robert G. McDonald, Rajagopalan Desikan, Saurabh Drolia, M. S. Govindan, Paul Gratz, Divya Gulati, Heather Hanson, Changkyu Kim, Haiming Liu, Nitya Ranganathan, Simha Sethumadhavan, Sadia Sharif, Premkishore Shivakumar, Stephen W. Keckler, Doug Burger
2006 C conf
Implementation and Evaluation of On-Chip Network Architectures.
ICCD
Paul Gratz, Changkyu Kim, Robert G. McDonald, Stephen W. Keckler, Doug Burger
2005 A conf
A NUCA substrate for flexible CMP cache sharing.
ICS
Jaehyuk Huh, Changkyu Kim, Hazim Shafi, Lixin Zhang, Doug Burger, Stephen W. Keckler
2004 J jnl
TRIPS: A polymorphous architecture for exploiting ILP, TLP, and DLP.
ACM Trans. Archit. Code Optim.
Karthikeyan Sankaralingam, Ramadass Nagarajan, Haiming Liu, Changkyu Kim, Jaehyuk Huh, Nitya Ranganathan, Doug Burger, Stephen W. Keckler, Robert G. McDonald, Charles R. Moore
2003 A* conf
Exploiting ILP, TLP and DLP with the Polymorphous TRIPS Architecture.
ISCA
Karthikeyan Sankaralingam, Ramadass Nagarajan, Haiming Liu, Changkyu Kim, Jaehyuk Huh, Doug Burger, Stephen W. Keckler, Charles R. Moore
2003 J jnl
Exploiting ILP, TLP, and DLP with the Polymorphous TRIPS Architecture.
IEEE Micro
Karthikeyan Sankaralingam, Ramadass Nagarajan, Haiming Liu, Changkyu Kim, Jaehyuk Huh, Doug Burger, Stephen W. Keckler, Charles R. Moore
2003 J jnl
Nonuniform Cache Architectures for Wire-Delay Dominated On-Chip Caches.
IEEE Micro
Changkyu Kim, Doug Burger, Stephen W. Keckler
2002 A* conf
An adaptive, non-uniform cache structure for wire-delay dominated on-chip caches.
ASPLOS
Changkyu Kim, Doug Burger, Stephen W. Keckler