World's Best Scientists 2026 revealed!
Onur Mutlu

Onur Mutlu

Award Badge
Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
125
Citations
52157
World Ranking
118
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2020 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For innovative and impactful contributions to computer memory systems.
  • 2018 - Member of Academia Europaea
  • 2017 - ACM Fellow For contributions to computer architecture research, especially in memory systems
  • 2013 - ACM Senior Member

Overview

Onur Mutlu is affiliated with ETH Zurich in Switzerland. Their research spans multiple aspects of computer science and engineering, with a particular focus on memory systems and related computing architectures.

Their recent publications include:

  • Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System (2022, IEEE Access)
  • GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis (2021, Bilkent University Institutional Repository)
  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression (2021, IEEE Transactions on Parallel and Distributed Systems)
  • DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks (2021, Repository for Publications and Research Data, ETH Zurich)
  • FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications (2021, IEEE Micro)

Their frequent co-authors include:

  • Juan Gómez-Luna
  • Mohammed Alser
  • Can Fırtına
  • Ataberk Olgun
  • Mohammad Sadrosadati

Key publication venues for their work are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Access
  • Bioinformatics

Onur Mutlu's main fields of study are Computer Science and Engineering. Their subfields include:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Hardware and Architecture
  • Artificial Intelligence
  • Molecular Biology

Their research focuses on several main topics such as:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Advanced Memory and Neural Computing
  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • Ferroelectric and Negative Capacitance Devices
  • Cloud Computing and Resource Management

Among the awards Onur Mutlu has received are:

  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society (2020) - For innovative and impactful contributions to computer memory systems
  • Member of Academia Europaea (2018)
  • ACM Fellow (2017) - For contributions to computer architecture research, especially in memory systems
  • ACM Senior Member (2013)

Best Publications

  • Architecting phase change memory as a scalable dram alternative

    Benjamin C. Lee;Engin Ipek;Onur Mutlu;Doug Burger

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

    Yoongu Kim;Ross Daly;Jeremie Kim;Chris Fallin

  • Personalized copy number and segmental duplication maps using next-generation sequencing

    Can Alkan;Jeffrey M Kidd;Tomas Marques-Bonet;Tomas Marques-Bonet;Gozde Aksay

  • A scalable processing-in-memory accelerator for parallel graph processing

    Junwhan Ahn;Sungpack Hong;Sungjoo Yoo;Onur Mutlu

  • Ramulator: A Fast and Extensible DRAM Simulator

    Yoongu Kim;Weikun Yang;Onur Mutlu

  • Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems

    Onur Mutlu;Thomas Moscibroda

  • Stall-Time Fair Memory Access Scheduling for Chip Multiprocessors

    Onur Mutlu;Thomas Moscibroda

  • RAIDR: Retention-Aware Intelligent DRAM Refresh

    Jamie Liu;Ben Jaiyen;Richard Veras;Onur Mutlu

  • Runahead execution: an alternative to very large instruction windows for out-of-order processors

    O. Mutlu;J. Stark;C. Wilkerson;Y.N. Patt

  • Self-Optimizing Memory Controllers: A Reinforcement Learning Approach

    Engin Ipek;Onur Mutlu;José F. Martínez;Rich Caruana

  • Evaluating STT-RAM as an energy-efficient main memory alternative

    Emre Kultursay;Mahmut Kandemir;Anand Sivasubramaniam;Onur Mutlu

  • ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers

    Yoongu Kim;Dongsu Han;Onur Mutlu;Mor Harchol-Balter

  • Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior

    Yoongu Kim;Michael Papamichael;Onur Mutlu;Mor Harchol-Balter

  • Phase-Change Technology and the Future of Main Memory

    B.C. Lee;Ping Zhou;Jun Yang;Youtao Zhang

  • Improving GPU performance via large warps and two-level warp scheduling

    Veynu Narasiman;Michael Shebanow;Chang Joo Lee;Rustam Miftakhutdinov

  • A case for bufferless routing in on-chip networks

    Thomas Moscibroda;Onur Mutlu

  • PIM-enabled instructions: a low-overhead, locality-aware processing-in-memory architecture

    Junwhan Ahn;Sungjoo Yoo;Onur Mutlu;Kiyoung Choi

  • Memory power management via dynamic voltage/frequency scaling

    Howard David;Chris Fallin;Eugene Gorbatov;Ulf R. Hanebutte

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

    Vivek Seshadri;Donghyuk Lee;Thomas Mullins;Hasan Hassan

  • Fairness via source throttling: a configurable and high-performance fairness substrate for multi-core memory systems

    Eiman Ebrahimi;Chang Joo Lee;Onur Mutlu;Yale N. Patt

  • The Non-IID Data Quagmire of Decentralized Machine Learning

    Kevin Hsieh;Amar Phanishayee;Onur Mutlu;Phillip Gibbons

Frequent Co-Authors

Saugata Ghose
Saugata Ghose University of Illinois at Urbana-Champaign
Yale N. Patt
Yale N. Patt The University of Texas at Austin
Donghyuk Lee
Donghyuk Lee Nvidia (United States)
Gennady Pekhimenko
Gennady Pekhimenko University of Toronto
Todd C. Mowry
Todd C. Mowry Carnegie Mellon University
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Thomas Moscibroda
Thomas Moscibroda Microsoft (United States)
Can Alkan
Can Alkan Bilkent University
Hyesoon Kim
Hyesoon Kim Georgia Institute of Technology
Chita R. Das
Chita R. Das Pennsylvania State University

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