An adaptive, non-uniform cache structure for wire-delay dominated on-chip caches. - Changkyu Kim; Doug Burger; Stephen W. Keckler (ASPLOS, 2002)

Nonuniform Cache Architectures for Wire-Delay Dominated On-Chip Caches. - Changkyu Kim; Doug Burger; Stephen W. Keckler (IEEE Micro, 2003)

Exploiting ILP, TLP, and DLP with the Polymorphous TRIPS Architecture. - Karthikeyan Sankaralingam; Ramadass Nagarajan; Haiming Liu 001; Changkyu Kim; Jaehyuk Huh 001; Doug Burger; Stephen W. Keckler; Charles R. Moore (IEEE Micro, 2003)

TRIPS: A polymorphous architecture for exploiting ILP, TLP, and DLP. - Karthikeyan Sankaralingam; Ramadass Nagarajan; Haiming Liu 001; Changkyu Kim; Jaehyuk Huh 001; Nitya Ranganathan; Doug Burger; Stephen W. Keckler; Robert G. McDonald; Charles R. Moore (ACM Trans. Archit. Code Optim., 2004)

Implementation and Evaluation of On-Chip Network Architectures. - Paul Gratz; Changkyu Kim; Robert G. McDonald; Stephen W. Keckler; Doug Burger (ICCD, 2006)

Distributed Microarchitectural Protocols in the TRIPS Prototype Processor. - Karthikeyan Sankaralingam; Ramadass Nagarajan; Robert G. McDonald; Rajagopalan Desikan; Saurabh Drolia; M. S. Govindan; Paul Gratz; Divya Gulati; Heather Hanson; Changkyu Kim; Haiming Liu 001; Nitya Ranganathan; et al. (MICRO, 2006)

Composable Lightweight Processors. - Changkyu Kim; Simha Sethumadhavan; M. S. Govindan; Nitya Ranganathan; Divya Gulati; Doug Burger; Stephen W. Keckler (MICRO, 2007)

On-Chip Interconnection Networks of the TRIPS Chip. - Paul Gratz; Changkyu Kim; Karthikeyan Sankaralingam; Heather Hanson; Premkishore Shivakumar; Stephen W. Keckler; Doug Burger (IEEE Micro, 2007)

A NUCA Substrate for Flexible CMP Cache Sharing. - Jaehyuk Huh 001; Changkyu Kim; Hazim Shafi; Lixin Zhang 002; Doug Burger; Stephen W. Keckler (IEEE Trans. Parallel Distributed Syst., 2007)

Atomic Vector Operations on Chip Multiprocessors. - Sanjeev Kumar; Daehyun Kim 001; Mikhail Smelyanskiy; Yen-Kuang Chen; Jatin Chhugani; Christopher J. Hughes; Changkyu Kim; Victor W. Lee; Anthony D. Nguyen (ISCA, 2008)

Second Life and the New Generation of Virtual Worlds. - Sanjeev Kumar; Jatin Chhugani; Changkyu Kim; Daehyun Kim 001; Anthony D. Nguyen; Pradeep Dubey; Christian Bienia; Youngmin Kim (Computer, 2008)

Multitasking workload scheduling on flexible core chip multiprocessors. - Divya Gulati; Changkyu Kim; Simha Sethumadhavan; Stephen W. Keckler; Doug Burger (SIGARCH Comput. Archit. News, 2008)

Efficient shared cache management through sharing-aware replacement and streaming-aware insertion policy. - Yu Chen; Wenlong Li 003; Changkyu Kim; Zhizhong Tang (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)

Performance and Energy Implications of Many-Core Caches for Throughput Computing. - Christopher J. Hughes; Changkyu Kim; Yen-Kuang Chen (IEEE Micro, 2010)

Moguls: a model to explore the memory hierarchy for bandwidth improvements. - Guangyu Sun 003; Christopher J. Hughes; Changkyu Kim; Jishen Zhao; Cong Xu 002; Yuan Xie 001; Yen-Kuang Chen (ISCA, 2011)

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)

Billion-particle SIMD-friendly two-point correlation on large-scale HPC cluster systems. - Jatin Chhugani; Changkyu Kim; Hemant Shukla; Jongsoo Park; Pradeep Dubey; John Shalf; Horst D. Simon (SC, 2012)

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

Opportunistic third-party backhaul for cellular wireless networks. - Russell Ford; Changkyu Kim; Sundeep Rangan (ACSSC, 2013)

Locality-aware task management for unstructured parallelism: a quantitative limit study. - Richard M. Yoo; Christopher J. Hughes; Changkyu Kim; Yen-Kuang Chen; Christos Kozyrakis (SPAA, 2013)

Joint Interference and User Association Optimization in Cellular Wireless Networks - Changkyu Kim; Russell Ford; Yanjia Qi; Sundeep Rangan (CoRR, 2013)

Joint interference and user association optimization in cellular wireless networks. - Changkyu Kim; Russell Ford; Sundeep Rangan (ACSSC, 2014)

Author retrospective for a NUCA substrate for flexible CMP cache sharing. - Jaehyuk Huh 001; Changkyu Kim; Hazim Shafi; Lixin Zhang 002; Doug Burger; Stephen W. Keckler (ICS 25th Anniversary, 2014)

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)

Using SSDs to scale up Google Fusion Tables, a database-in-the-cloud. - Yingyi Bu; Felix Halim; Changkyu Kim; Hongrae Lee; Jayant Madhavan (ICDE, 2016)

WSMeter: A Performance Evaluation Methodology for Google's Production Warehouse-Scale Computers. - Jaewon Lee; Changkyu Kim; Kun Lin; Liqun Cheng; Rama Govindaraju; Jangwoo Kim (ASPLOS, 2018)

Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems. - Maxim Naumov; John Kim 001; Dheevatsa Mudigere; Srinivas Sridharan 002; Xiaodong Wang 020; Whitney Zhao; Serhat Yilmaz; Changkyu Kim; Hector Yuen; Mustafa Ozdal; Krishnakumar Nair; Isabel Gao; et al. (CoRR, 2020)

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)

Supporting Massive DLRM Inference Through Software Defined Memory. - Ehsan K. Ardestani; Changkyu Kim; Seung Jae Lee; Luoshang Pan; Valmiki Rampersad; Jens Axboe; Banit Agrawal; Fuxun Yu; Ansha Yu; Trung Le 003; Hector Yuen; Shishir Juluri; 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)

Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. - Zhongyi Lin; Louis Feng; Ehsan K. Ardestani; Jaewon Lee; John Lundell; Changkyu Kim; Arun Kejariwal; John D. Owens (HIPC, 2022)

Supporting Massive DLRM Inference through Software Defined Memory. - Ehsan K. Ardestani; Changkyu Kim; Seung Jae Lee; Luoshang Pan; Jens Axboe; Valmiki Rampersad; Banit Agrawal; Fuxun Yu; Ansha Yu; Trung Le 003; Hector Yuen; Dheevatsa Mudigere; et al. (ICDCS, 2022)

Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions. - 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; et al. (CoRR, 2025)