World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13374
World Ranking
4281
National Ranking
2017

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to the predictability of real-time systems, resilience in high-performance computing, and multi-threading techniques
  • 2016 - IEEE Fellow For contributions to timing analysis of real-time systems
  • 2011 - ACM Distinguished Member
  • 2006 - ACM Senior Member
  • 1963 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Frank Mueller is a researcher affiliated with North Carolina State University in the United States, with a focus on computer science and related subfields. Their work spans multiple areas including computer networks and communications, artificial intelligence, hardware and architecture, computer vision and pattern recognition, and molecular biology.

The main fields of study and topics explored in their research include:

  • Distributed systems and fault tolerance
  • Software system performance and reliability
  • Real-time systems scheduling
  • Parallel computing and optimization techniques
  • Cloud computing and resource management
  • Quantum computing algorithms and architecture
  • Neural networks and reservoir computing

Frank Mueller's recent publication record highlights contributions to various interdisciplinary domains. Selected papers include:

  • "NUMA-aware memory coloring for multicore real-time systems," 2021, Journal of Systems Architecture
  • "Hummingbird: efficient performance prediction for executing genomic applications in the cloud," 2021, Bioinformatics
  • "BarrierFinder: recognizing ad hoc barriers," 2020, Empirical Software Engineering
  • "Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC)," 2022, Journal of Systems Architecture
  • "P-ckpt: Coordinated Prioritized Checkpointing," 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Their frequent co-authors include:

  • Srikar Chundury
  • In-Saeng Suh
  • Xing Pan
  • Amir Bahmani
  • Ziye Xing

Publication venues where Frank Mueller has regularly contributed encompass:

  • arXiv (Cornell University)
  • Journal of Systems Architecture
  • Bioinformatics
  • Empirical Software Engineering
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Their academic recognition includes fellowships and distinctions such as:

  • ACM Fellow (2018) for contributions to the predictability of real-time systems, resilience in high-performance computing, and multi-threading techniques
  • IEEE Fellow (2016) for contributions to timing analysis of real-time systems
  • ACM Distinguished Member (2011)
  • ACM Senior Member (2006)
  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 1963

Best Publications

  • The worst-case execution-time problem—overview of methods and survey of tools

    Reinhard Wilhelm;Jakob Engblom;Andreas Ermedahl;Niklas Holsti

  • Proactive fault tolerance for HPC with Xen virtualization

    Arun Babu Nagarajan;Frank Mueller;Christian Engelmann;Stephen L. Scott

  • Analyzing and modeling encryption overhead for sensor network nodes

    Prasanth Ganesan;Ramnath Venugopalan;Pushkin Peddabachagari;Alexander Dean

  • Bounding pipeline and instruction cache performance

    C.A. Healy;R.D. Arnold;F. Mueller;D.B. Whalley

  • * Bounding Worst-case Instruction Cache Performance

    Robert D. Arnold;Frank Mueller;David B. Whalley;Marion G. Harmon

  • A Library Implementation of POSIX Threads under UNIX.

    Frank Mueller

  • Timing Analysis for Instruction Caches

    Frank Mueller

  • Feedback EDF Scheduling of Real-Time Tasks Exploiting Dynamic Voltage Scaling

    Yifan Zhu;Frank Mueller

  • Detection and correction of silent data corruption for large-scale high-performance computing

    David Fiala;Frank Mueller;Christian Engelmann;Rolf Riesen

  • Communication characteristics of large-scale scientific applications for contemporary cluster architectures

    J. S. Vetter;F. Mueller

  • Proactive process-level live migration in HPC environments

    Chao Wang;Frank Mueller;Christian Engelmann;Stephen L. Scott

  • Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution

    Leo T. Yang;Xiaosong Ma;Frank Mueller

  • Compiler support for software-based cache partitioning

    Frank Mueller

  • Timing analysis for data caches and set-associative caches

    R.T. White;F. Mueller;C.A. Healy;D.B. Whalley

  • Detection and correction of silent data corruption for large-scale high-performance computing

    Unknown

  • Combining Partial Redundancy and Checkpointing for HPC

    James Elliott;Kishor Kharbas;David Fiala;Frank Mueller

  • A Comparison of Static Analysis and Evolutionary Testing for the Verification of Timing Constraints

    Joachim Wegener;Frank Mueller

  • Feedback EDF scheduling exploiting dynamic voltage scaling

    Yifan Zhu;F. Mueller

  • ScalaTrace: Scalable compression and replay of communication traces for high-performance computing

    Michael Noeth;Prasun Ratn;Frank Mueller;Martin Schulz

  • Auto-generation and auto-tuning of 3D stencil codes on GPU clusters

    Yongpeng Zhang;Frank Mueller

  • Time-based intrusion detection in cyber-physical systems

    Christopher Zimmer;Balasubramanya Bhat;Frank Mueller;Sibin Mohan

Frequent Co-Authors

David Whalley
David Whalley Florida State University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Martin Schulz
Martin Schulz Technical University of Munich
Sally A. McKee
Sally A. McKee Chalmers University of Technology
Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Ron Brightwell
Ron Brightwell Sandia National Laboratories
Stephan Olariu
Stephan Olariu Old Dominion University
Zhe Zhang
Zhe Zhang Netflix (United States)
Mihail L. Sichitiu
Mihail L. Sichitiu North Carolina State University

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