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D-Index & Metrics

Computer Science

D-Index
49
Citations
12247
World Ranking
5800
National Ranking
2635

Overview

Changhoon Kim is affiliated with Intel in the United States and has contributed to research spanning multiple domains including computer science and engineering. Their work reflects an interdisciplinary approach with focus areas in network systems as well as materials chemistry.

The main fields of study for Changhoon Kim include Computer Science and Engineering. Within these broad areas, key subfields encompass Computer Networks and Communications, Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Themes frequently addressed by Changhoon Kim's research include:

  • Interconnection Networks and Systems
  • Software-Defined Networks and 5G
  • Advanced Battery Materials and Technologies
  • Solid-state Spectroscopy and Crystallography
  • Thermal Expansion and Ionic Conductivity
  • Digital Media Forensic Detection
  • Adversarial Robustness in Machine Learning

Changhoon Kim has published papers in several venues, with the most frequent publication outlets being:

  • arXiv (Cornell University)
  • Energy storage materials
  • Journal of Power System Engineering
  • Korean System Dynamics Review

Sample recent publications include:

  • KTaCl6: High-voltage stable potassium-ion conducting chloride solid electrolyte, 2024, Energy storage materials
  • The nanoPU: Redesigning the CPU-Network Interface to Minimize RPC Tail Latency, 2020, arXiv (Cornell University)
  • A Study on the Design and Numerical Analysis of Gas Pressure Regulating Valve for LNG Ship, 2023, Journal of Power System Engineering
  • SFC: Near-Source Congestion Signaling and Flow Control, 2023, arXiv (Cornell University)
  • Enabling the Reflex Plane with the nanoPU, 2022, arXiv (Cornell University)

Frequent collaborators include Serhat Arslan, Stephen Ibanez, Alex Mallery, Theo Jepsen, and Muhammad Shahbaz. These partnerships appear in multiple publications, indicating recurring joint research efforts.

Best Publications

  • VL2: a scalable and flexible data center network

    Albert Greenberg;James R. Hamilton;Navendu Jain;Srikanth Kandula

  • NetCache: Balancing Key-Value Stores with Fast In-Network Caching

    Xin Jin;Xiaozhou Li;Haoyu Zhang;Robert Soulé

  • Sharing the data center network

    Alan Shieh;Srikanth Kandula;Albert Greenberg;Changhoon Kim

  • Floodless in seattle: a scalable ethernet architecture for large enterprises

    Changhoon Kim;Matthew Caesar;Jennifer Rexford

  • SilkRoad: Making Stateful Layer-4 Load Balancing Fast and Cheap Using Switching ASICs

    Rui Miao;Hongyi Zeng;Changhoon Kim;Jeongkeun Lee

  • HULA: Scalable Load Balancing Using Programmable Data Planes

    Naga Katta;Mukesh Hira;Changhoon Kim;Anirudh Sivaraman

  • Ananta: cloud scale load balancing

    Parveen Patel;Deepak Bansal;Lihua Yuan;Ashwin Murthy

  • VL2: a scalable and flexible data center network

    Albert Greenberg;James R. Hamilton;Navendu Jain;Srikanth Kandula

  • EyeQ: practical network performance isolation at the edge

    Vimalkumar Jeyakumar;Mohammad Alizadeh;David Mazières;Balaji Prabhakar

  • FlowRadar: a better NetFlow for data centers

    Yuliang Li;Rui Miao;Changhoon Kim;Minlan Yu

  • Language-Directed Hardware Design for Network Performance Monitoring

    Srinivas Narayana;Anirudh Sivaraman;Vikram Nathan;Prateesh Goyal

  • Packet Transactions: High-Level Programming for Line-Rate Switches

    Anirudh Sivaraman;Alvin Cheung;Mihai Budiu;Changhoon Kim

  • Netchain: scale-free sub-RTT coordination

    Xin Jin;Xiaozhou Li;Haoyu Zhang;Nate Foster

  • Interconnecting members of a virtual network

    Hasan Alkhatib;Changhoon Kim;Geoff Outhred;Deepak Bansal

  • PISCES: A Programmable, Protocol-Independent Software Switch

    Muhammad Shahbaz;Sean Choi;Ben Pfaff;Changhoon Kim

  • Agile data center network architecture

    Albert Greenberg;Parantap Lahiri;David A. Maltz;Parveen K. Patel

  • Seawall: performance isolation for cloud datacenter networks

    Alan Shieh;Srikanth Kandula;Albert Greenberg;Changhoon Kim

  • Scaling Distributed Machine Learning with In-Network Aggregation

    Amedeo Sapio;Marco Canini;Chen-Yu Ho;Jacob Nelson

  • Performance isolation for clouds

    Albert Greenberg;Alan Shieh;Srikanth Kandula;Changhoon Kim

  • Millions of little minions: using packets for low latency network programming and visibility

    Vimalkumar Jeyakumar;Mohammad Alizadeh;Yilong Geng;Changhoon Kim

  • SEATTLE: A Scalable Ethernet Architecture for Large Enterprises

    Changhoon Kim;Matthew Caesar;Jennifer Rexford

  • Packet Transactions: High-level Programming for Line-Rate Switches

    Anirudh Sivaraman;Mihai Budiu;Alvin Cheung;Changhoon Kim

Frequent Co-Authors

David A. Maltz
David A. Maltz Microsoft (United States)
Srikanth Kandula
Srikanth Kandula Microsoft (United States)
Jennifer Rexford
Jennifer Rexford Princeton University
Jeongkeun Lee
Jeongkeun Lee Intel (United States)
Albert Greenberg
Albert Greenberg Microsoft (United States)
David Mazières
David Mazières Stanford University
Ion Stoica
Ion Stoica University of California, Berkeley
Nick McKeown
Nick McKeown Stanford University
Minlan Yu
Minlan Yu Harvard University

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