World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8163
World Ranking
10546
National Ranking
4421

Overview

Donghyuk Lee is affiliated with Nvidia in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on hardware reliability, system optimization, and automation techniques.

Key fields of study associated with Donghyuk Lee include:

  • Computer Science
  • Engineering

Within these primary fields, their work extends into several subfields:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

The main research topics addressed in their publications are:

  • Radiation Effects in Electronics
  • Semiconductor materials and devices
  • Distributed systems and fault tolerance
  • Robotic Process Automation Applications
  • Cloud Data Security Solutions
  • Blockchain Technology Applications and Security
  • Parallel Computing and Optimization Techniques

Donghyuk Lee has contributed to several recent papers, including:

  • "Characterizing and Mitigating Soft Errors in GPU DRAM" (2022) published in IEEE Micro
  • "MIORPA: Middleware System for Open-Source Robotic Process Automation" (2020) published in Journal of Computing Science and Engineering
  • "Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing" (2023) published in ACM Transactions on Computer Systems
  • "A Study on the Application of Oversampling Techniques in Imbalanced Multi-Class Classification" (2025) published in The Korean Data Analysis Society

Their frequent coauthors include:

  • Mike O'Connor
  • Stephen W. Keckler
  • Michael B. Sullivan
  • N.R. Saxena
  • Paul Racunas

Frequently chosen publication venues for their work are:

  • IEEE Micro
  • Journal of Computing Science and Engineering
  • ACM Transactions on Computer Systems
  • The Korean Data Analysis Society

Best Publications

  • Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors

    Yoongu Kim;Ross Daly;Jeremie Kim;Chris Fallin

  • Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology

    Vivek Seshadri;Donghyuk Lee;Thomas Mullins;Hasan Hassan

  • RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization

    Vivek Seshadri;Yoongu Kim;Chris Fallin;Donghyuk Lee

  • A case for exploiting subarray-level parallelism (SALP) in DRAM

    Yoongu Kim;Vivek Seshadri;Donghyuk Lee;Jamie Liu

  • Tiered-latency DRAM: A low latency and low cost DRAM architecture

    Donghyuk Lee;Yoongu Kim;V. Seshadri;Jamie Liu

  • A 1.2 V 12.8 GB/s 2 Gb Mobile Wide-I/O DRAM With 4 $ imes$ 128 I/Os Using TSV Based Stacking

    Jung-Sik Kim;Chi Sung Oh;Hocheol Lee;Donghyuk Lee

  • Adaptive-latency DRAM: Optimizing DRAM timing for the common-case

    Donghyuk Lee;Yoongu Kim;Gennady Pekhimenko;Samira Khan

  • Improving DRAM performance by parallelizing refreshes with accesses

    Kevin Kai-Wei Chang;Donghyuk Lee;Zeshan Chishti;Alaa R. Alameldeen

  • Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM

    Kevin K. Chang;Prashant J. Nair;Donghyuk Lee;Saugata Ghose

  • Fast Bulk Bitwise AND and OR in DRAM

    Vivek Seshadri;Kevin Hsieh;Amirali Boroumand;Donghyuk Lee

  • GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies.

    Jeremie S. Kim;Jeremie S. Kim;Damla Senol Cali;Hongyi Xin;Donghyuk Lee

  • Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization

    Kevin K. Chang;Abhijith Kashyap;Hasan Hassan;Saugata Ghose

  • Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems

    Mike OrConnor;Niladrish Chatterjee;Donghyuk Lee;John Wilson

  • The efficacy of error mitigation techniques for DRAM retention failures: a comparative experimental study

    Samira Khan;Donghyuk Lee;Yoongu Kim;Alaa R. Alameldeen

  • ChargeCache: Reducing DRAM latency by exploiting row access locality

    Hasan Hassan;Gennady Pekhimenko;Nandita Vijaykumar;Vivek Seshadri

  • Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms

    Kevin K. Chang;Abdullah Giray Yağlıkçı;Saugata Ghose;Aditya Agrawal

  • Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost

    Donghyuk Lee;Saugata Ghose;Gennady Pekhimenko;Samira Khan

  • PARBOR: An Efficient System-Level Technique to Detect Data-Dependent Failures in DRAM

    Samira Khan;Donghyuk Lee;Onur Mutlu

  • Accelerating read mapping with FastHASH.

    Hongyi Xin;Donghyuk Lee;Farhad Hormozdiari;Samihan Yedkar

  • SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies

    Hasan Hassan;Nandita Vijaykumar;Samira Khan;Saugata Ghose

  • Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms

    Donghyuk Lee;Samira Khan;Lavanya Subramanian;Saugata Ghose

  • 28.5 A 1.2V 12.8GB/s 2Gb Mobile Wide-I/O DRAM with 4×128 I/Os Using TSV-Based Stacking

    Jung-Sik Kim;Hocheol Lee;Donghyuk Lee;Hyong-Ryol Hwang

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Saugata Ghose
Saugata Ghose University of Illinois at Urbana-Champaign
Gennady Pekhimenko
Gennady Pekhimenko University of Toronto
Chris Wilkerson
Chris Wilkerson Nvidia (United Kingdom)
Alaa R. Alameldeen
Alaa R. Alameldeen Intel (United States)
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Michael Kozuch
Michael Kozuch Intel (United States)
Todd C. Mowry
Todd C. Mowry Carnegie Mellon University
Can Alkan
Can Alkan Bilkent University
William J. Dally
William J. Dally Nvidia (United Kingdom)

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