World's Best Scientists 2026 revealed!
Alvin R. Lebeck

Alvin R. Lebeck

D-Index & Metrics

Computer Science

D-Index
42
Citations
7632
World Ranking
8370
National Ranking
3586

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to memory hierarchies and energy-efficient and parallel computing

Overview

Alvin R. Lebeck is affiliated with Duke University in the United States. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Information Systems, and Electrical and Electronic Engineering.

The main topics covered in their work include:

  • Cloud Computing and Resource Management
  • Distributed systems and fault tolerance
  • Computer Graphics and Visualization Techniques
  • Advanced Numerical Analysis Techniques
  • Computational Geometry and Mesh Generation
  • Security and Verification in Computing
  • Software-Defined Networks and 5G

Lebeck's recent publications highlight research in diverse areas of computing and networking. Selected works include:

  • "Dense Server Design for Immersion Cooling" (2024), published in ACM Transactions on Graphics
  • "Fast Convergence to Fairness for Reduced Long Flow Tail Latency in Datacenter Networks" (2022), published in 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • "RDMA Congestion Control: It Is Only for the Compliant" (2022), published in IEEE Micro
  • "Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators" (2020), published in arXiv (Cornell University)
  • "Accelerating Markov Random Field Inference with Uncertainty Quantification" (2021), published in arXiv (Cornell University)

Their frequent coauthors reflect collaborations in related research areas. Notable coauthors include John Snyder, Danyang Zhuo, Xiangyu Zhang, Ramin Bashizade, and Milin Kodnongbua.

Publication venues where Lebeck has consistently contributed include:

  • arXiv (Cornell University)
  • IEEE Micro
  • ACM Transactions on Graphics
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • ACM Transactions on Architecture and Code Optimization

In 2017, Alvin R. Lebeck was recognized as an IEEE Fellow for contributions to memory hierarchies and energy-efficient and parallel computing.

Best Publications

  • ECOSystem: managing energy as a first class operating system resource

    Heng Zeng;Carla S. Ellis;Alvin R. Lebeck;Amin Vahdat

  • The Wisconsin Wind Tunnel: virtual prototyping of parallel computers

    Steven K. Reinhardt;Mark D. Hill;James R. Larus;Alvin R. Lebeck

  • Power aware page allocation

    Alvin R. Lebeck;Xiaobo Fan;Heng Zeng;Carla Ellis

  • Fine-grain access control for distributed shared memory

    Ioannis Schoinas;Babak Falsafi;Alvin R. Lebeck;Steven K. Reinhardt

  • Cache profiling and the SPEC benchmarks: a case study

    A.R. Lebeck;D.A. Wood

  • Dynamic self-invalidation: reducing coherence overhead in shared-memory multiprocessors

    Alvin R. Lebeck;David A. Wood

  • Memory controller policies for DRAM power management

    Xiaobo Fan;Carla Ellis;Alvin Lebeck

  • A large, fast instruction window for tolerating cache misses

    Alvin R. Lebeck;Jinson Koppanalil;Tong Li;Jaidev Patwardhan

  • Recursive array layouts and fast matrix multiplication

    S. Chatterjee;A.R. Lebeck;P.K. Patnala;M. Thottethodi

  • Exact analysis of the cache behavior of nested loops

    Siddhartha Chatterjee;Erin Parker;Philip J. Hanlon;Alvin R. Lebeck

  • Every joule is precious: the case for revisiting operating system design for energy efficiency

    Amin Vahdat;Alvin Lebeck;Carla Schlatter Ellis

  • Application-specific protocols for user-level shared memory

    Babak Falsafi;Alvin R. Lebeck;Steven K. Reinhardt;Ioannis Schoinas

  • Nonlinear array layouts for hierarchical memory systems

    Siddhartha Chatterjee;Vibhor V. Jain;Alvin R. Lebeck;Shyam Mundhra

  • The synergy between power-aware memory systems and processor voltage scaling

    Xiaobo Fan;Carla S. Ellis;Alvin R. Lebeck

  • Self-tuned congestion control for multiprocessor networks

    M. Thottethodi;A.R. Lebeck;S.S. Mukherjee

  • Inexpensive Implementations Of Set-Associativity

    R. E. Kessler;R. Jooss;A. Lebeck;M. D. Hill

  • Recursive array layouts and fast parallel matrix multiplication

    Siddhartha Chatterjee;Alvin R. Lebeck;Praveen K. Patnala;Mithuna Thottethodi

  • Load Latency Tolerance in Dynamically Scheduled Processors.

    Srikanth T. Srinivasan;Alvin R. Lebeck

  • Locality vs. criticality

    Roy Dz-ching Ju;Alvin R. Lebeck;Chris Wilkerson;Srikanth T. Srinivasan

  • Push vs. pull: data movement for linked data structures

    Chia-Lin Yang;Alvin R. Lebeck

  • Every joule is precious: The case for revisiting operating system design for energ

    Amin M. Vahdat;Alvin Lebeck;Carla Schlatter Ellis

Frequent Co-Authors

Carla Schlatter Ellis
Carla Schlatter Ellis Duke University
Daniel J. Sorin
Daniel J. Sorin Duke University
James R. Larus
James R. Larus École Polytechnique Fédérale de Lausanne
Mark D. Hill
Mark D. Hill University of Wisconsin–Madison
Steven K. Reinhardt
Steven K. Reinhardt Advanced Micro Devices (United States)
Amin Vahdat
Amin Vahdat Google (United States)
Shubhendu S. Mukherjee
Shubhendu S. Mukherjee Cavium (United States)
Jeffrey S. Chase
Jeffrey S. Chase Duke University
Babak Falsafi
Babak Falsafi École Polytechnique Fédérale de Lausanne
Sayan Mukherjee
Sayan Mukherjee Duke University

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