Alvin R. Lebeck

Alvin R. Lebeck

Duke University

H-index: 39

North America-United States

About Alvin R. Lebeck

Alvin R. Lebeck, With an exceptional h-index of 39 and a recent h-index of 16 (since 2020), a distinguished researcher at Duke University, specializes in the field of Computer Architecture, Computer Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Resonator networks for improved label detection, computation, analyte sensing, and tunable random number generation

Understanding {RDMA} microarchitecture resources for performance isolation

Fast convergence to fairness for reduced long flow tail latency in datacenter networks

RDMA Congestion Control: It Is Only for the Compliant

Accelerating Markov Random Field Inference with Uncertainty Quantification

RESONATOR NETWORKS FOR IMPROVED LABEL DETECTION, CALCULATION, ANALYTE DETECTION AND ADJUSTABLE RANDOM NUMBER GENERATION

Statistical robustness of Markov chain Monte Carlo accelerators

Beyond application end-point results: Quantifying statistical robustness of mcmc accelerators

Alvin R. Lebeck Information

University

Position

Professor Computer Science and Electrical and Computer Engineering

Citations(all)

7863

Citations(since 2020)

776

Cited By

7354

hIndex(all)

39

hIndex(since 2020)

16

i10Index(all)

71

i10Index(since 2020)

32

Email

University Profile Page

Duke University

Google Scholar

View Google Scholar Profile

Alvin R. Lebeck Skills & Research Interests

Computer Architecture

Computer Systems

Top articles of Alvin R. Lebeck

Title

Journal

Author(s)

Publication Date

Resonator networks for improved label detection, computation, analyte sensing, and tunable random number generation

2023/6/13

Understanding {RDMA} microarchitecture resources for performance isolation

Xinhao Kong

Jingrong Chen

Wei Bai

Yechen Xu

Mahmoud Elhaddad

...

2023

Fast convergence to fairness for reduced long flow tail latency in datacenter networks

John Snyder

Alvin R Lebeck

2022/5/30

RDMA Congestion Control: It Is Only for the Compliant

IEEE Micro

John Snyder

Alvin R Lebeck

Danyang Zhuo

2022/9/22

Accelerating Markov Random Field Inference with Uncertainty Quantification

arXiv preprint arXiv:2108.00570

Ramin Bashizade

Xiangyu Zhang

Sayan Mukherjee

Alvin R Lebeck

2021/8/2

RESONATOR NETWORKS FOR IMPROVED LABEL DETECTION, CALCULATION, ANALYTE DETECTION AND ADJUSTABLE RANDOM NUMBER GENERATION

2021/6/30

Statistical robustness of Markov chain Monte Carlo accelerators

Xiangyu Zhang

Ramin Bashizade

Yicheng Wang

Sayan Mukherjee

Alvin R Lebeck

2021/4/19

Beyond application end-point results: Quantifying statistical robustness of mcmc accelerators

arXiv preprint arXiv:2003.04223

Xiangyu Zhang

Ramin Bashizade

Yicheng Wang

Cheng Lyu

Sayan Mukherjee

...

2020/3/5

Lightweight Inter-transaction Caching with Precise Clocks and Dynamic Self-invalidation

arXiv preprint arXiv:2003.04150

Pulkit A Misra

Srihari Radhakrishnan

Jeffrey S Chase

Johannes Gehrke

Alvin R Lebeck

2020/3/9

See List of Professors in Alvin R. Lebeck University(Duke University)

Co-Authors

H-index: 88
Mark D. Hill

Mark D. Hill

University of Wisconsin-Madison

H-index: 77
John Reif

John Reif

Duke University

H-index: 68
David A. Wood

David A. Wood

University of Wisconsin-Madison

H-index: 67
Babak Falsafi

Babak Falsafi

École Polytechnique Fédérale de Lausanne

H-index: 43
Daniel J. Sorin

Daniel J. Sorin

Duke University

H-index: 35
Sung Ha Park

Sung Ha Park

Sungkyunkwan University

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