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Lieven Eeckhout

Lieven Eeckhout

D-Index & Metrics

Computer Science

D-Index
57
Citations
12452
World Ranking
3855
National Ranking
42

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions in computer architecture performance analysis and modeling
  • 2016 - ACM Senior Member

Overview

Lieven Eeckhout is affiliated with Ghent University in Belgium and has a research focus primarily within the field of computer science. Their work spans multiple subfields including hardware and architecture, computer networks and communications, electrical and electronic engineering, and information systems. The main research topics covered include parallel computing and optimization techniques, advanced data storage technologies, green IT and sustainability, interconnection networks and systems, personal information management and user behavior, distributed systems and fault tolerance, and cloud computing and resource management.

They have contributed extensively to scientific literature with notable papers such as:

  • "A First-Order Model to Assess Computer Architecture Sustainability," 2022, IEEE Computer Architecture Letters
  • "Kaya for Computer Architects: Toward Sustainable Computer Systems," 2022, IEEE Micro
  • "Photonic Network-on-Wafer for Multichiplet GPUs," 2023, IEEE Micro
  • "Reliability-aware Garbage Collection for Hybrid HBM-DRAM Memories," 2021, ACM Transactions on Architecture and Code Optimization
  • "Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs," 2023, IEEE Computer Architecture Letters

Their frequent publication venues include:

  • IEEE Micro
  • IEEE Computer Architecture Letters
  • ACM Transactions on Architecture and Code Optimization
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computer

Collaborations with other researchers have been consistent, with frequent co-authors including Ajeya Naithani, Mahmood Naderan-Tahan, Magnus Jahre, Shiqing Zhang, and Jaime Roelandts.

Recognition of their contributions is reflected in awards such as the IEEE Fellow honor received in 2018 for their work in computer architecture performance analysis and modeling, as well as being named an ACM Senior Member in 2016.

Best Publications

  • Sniper: exploring the level of abstraction for scalable and accurate parallel multi-core simulation

    Trevor E. Carlson;Wim Heirmant;Lieven Eeckhout

  • Statistically rigorous java performance evaluation

    Andy Georges;Dries Buytaert;Lieven Eeckhout

  • System-Level Performance Metrics for Multiprogram Workloads

    S. Eyerman;L. Eeckhout

  • Scheduling heterogeneous multi-cores through Performance Impact Estimation (PIE)

    Kenzo Van Craeynest;Aamer Jaleel;Lieven Eeckhout;Paolo Narvaez

  • An Evaluation of High-Level Mechanistic Core Models

    Trevor E. Carlson;Wim Heirman;Stijn Eyerman;Ibrahim Hur

  • S-L P M M W

    Stijn Eyerman;Lieven Eeckhout

  • Microarchitecture-Independent Workload Characterization

    K. Hoste;L. Eeckhout

  • A performance counter architecture for computing accurate CPI components

    Stijn Eyerman;Lieven Eeckhout;Tejas Karkhanis;James E. Smith

  • A mechanistic performance model for superscalar out-of-order processors

    Stijn Eyerman;Lieven Eeckhout;Tejas Karkhanis;James E. Smith

  • System-scenario-based design of dynamic embedded systems

    Stefan Valentin Gheorghita;Martin Palkovic;Juan Hamers;Arnout Vandecappelle

  • Measuring Program Similarity: Experiments with SPEC CPU Benchmark Suites

    Aashish Phansalkar;Ajay Joshi;L. Eeckhout;L.K. John

  • Cole: compiler optimization level exploration

    Kenneth Hoste;Lieven Eeckhout

  • Interval simulation: Raising the level of abstraction in architectural simulation

    Davy Genbrugge;Stijn Eyerman;Lieven Eeckhout

  • Performance prediction based on inherent program similarity

    Kenneth Hoste;Aashish Phansalkar;Lieven Eeckhout;Andy Georges

  • Modeling critical sections in Amdahl's law and its implications for multicore design

    Stijn Eyerman;Lieven Eeckhout

  • Measuring benchmark similarity using inherent program characteristics

    Ajay Joshi;Aashish Phansalkar;L. Eeckhout;L.K. John

  • Quantifying the Impact of Input Data Sets on Program Behavior and its Applications

    Lieven Eeckhout;Hans Vandierendonck;Koenraad De Bosschere

  • Control Flow Modeling in Statistical Simulation for Accurate and Efficient Processor Design Studies

    Lieven Eeckhout;Robert H. Bell;Bastiaan Stougie;Koen De Bosschere

  • Fine-grained DVFS using on-chip regulators

    Stijn Eyerman;Lieven Eeckhout

  • Statistical simulation: adding efficiency to the computer designer's toolbox

    L. Eeckhout;S. Nussbaum;J.E. Smith;K. De Bosschere

  • A performance counter architecture for computing accurate CPI components

    Stijn Eyerman;Lieven Eeckhout;Tejas Karkhanis;James E Smith

Frequent Co-Authors

Koen De Bosschere
Koen De Bosschere Ghent University
Lizy K. John
Lizy K. John The University of Texas at Austin
Cheng-Zhong Xu
Cheng-Zhong Xu University of Macau
David J. Lilja
David J. Lilja University of Minnesota
Aamer Jaleel
Aamer Jaleel Nvidia (United States)
James E. Smith
James E. Smith University of Wisconsin–Madison
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
Olivier Temam
Olivier Temam DeepMind (United Kingdom)
Brad Calder
Brad Calder Google (United States)
Hai Jin
Hai Jin Huazhong University of Science and Technology

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