World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
21229
World Ranking
3007
National Ranking
1475

Research.com Recognitions

  • 2011 - ACM Fellow For contributions to the architecture of high-performance processors.
  • 2009 - IEEE Fellow For contributions to the architecture of multithreaded and high-performance processors

Overview

Dean M. Tullsen is affiliated with the University of California, San Diego in the United States. Their research primarily falls within the field of Computer Science, with a focus on subfields including Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.

The main topics covered by their research include Security and Verification in Computing, Parallel Computing and Optimization Techniques, Advanced Malware Detection Techniques, Quantum Computing Algorithms and Architecture, Physical Unclonable Functions (PUFs) and Hardware Security, Optical Network Technologies, and Network Security and Intrusion Detection.

Recent papers authored or coauthored by Dean M. Tullsen include:

  • Automatically Eliminating Speculative Leaks from Cryptographic Code with Blade, 2023, OPAL (Open@LaTrobe) (La Trobe University)
  • Swivel: Hardening WebAssembly against Spectre, 2021, arXiv (Cornell University)
  • Mitigating Speculative Execution Attacks via Context-Sensitive Fencing, 2022, IEEE Design and Test
  • Replication package for article: Automatically Eliminating Speculative Leaks from Cryptographic Code with Blade, 2020, Artifact Digital Object Group
  • Hardware-Assisted Fault Isolation: Going Beyond the Limits of Software-Based Sandboxing, 2024, IEEE Micro

Dean M. Tullsen has frequently published in venues such as arXiv (Cornell University), Artifact Digital Object Group, IEEE Design and Test, IEEE Micro, and OPAL (Open@LaTrobe) (La Trobe University).

Frequent coauthors of Dean M. Tullsen include:

  • Deian Stefan
  • Craig Disselkoen
  • Sunjay Cauligi
  • Mohammadkazem Taram
  • Klaus von Gleissenthall

The scientist has been recognized by their peers with notable distinctions. They received the ACM Fellow award in 2011 for contributions to the architecture of high-performance processors, and the IEEE Fellow award in 2009 for contributions to the architecture of multithreaded and high-performance processors.

Best Publications

  • McPAT: an integrated power, area, and timing modeling framework for multicore and manycore architectures

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • Simultaneous multithreading: maximizing on-chip parallelism

    Dean M. Tullsen;Susan J. Eggers;Henry M. Levy

  • Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor

    Dean M. Tullsen;Susan J. Eggers;Joel S. Emer;Henry M. Levy

  • Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction

    Rakesh Kumar;Keith I. Farkas;Norman P. Jouppi;Parthasarathy Ranganathan

  • Symbiotic jobscheduling for a simultaneous multithreaded processor

    Allan Snavely;Dean M. Tullsen

  • Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance

    Rakesh Kumar;Dean M. Tullsen;Parthasarathy Ranganathan;Norman P. Jouppi

  • Simultaneous multithreading: a platform for next-generation processors

    S.J. Eggers;J.S. Emer;H.M. Leby;J.L. Lo

  • Interconnections in Multi-Core Architectures: Understanding Mechanisms, Overheads and Scaling

    Rakesh Kumar;Victor Zyuban;Dean M. Tullsen

  • Heterogeneous chip multiprocessors

    R. Kumar;D.M. Tullsen;N.P. Jouppi;P. Ranganathan

  • Speculative precomputation: long-range prefetching of delinquent loads

    Jamison D. Collins;Hong Wang;Dean M. Tullsen;Christopher Hughes

  • Converting thread-level parallelism to instruction-level parallelism via simultaneous multithreading

    Jack L. Lo;Joel S. Emer;Henry M. Levy;Rebecca L. Stamm

  • Handling long-latency loads in a simultaneous multithreading processor

    Dean M. Tullsen;Jeffery A. Brown

  • Selective value prediction

    Brad Calder;Glenn Reinman;Dean M. Tullsen

  • Core architecture optimization for heterogeneous chip multiprocessors

    Rakesh Kumar;Dean M. Tullsen;Norman P. Jouppi

  • Dynamic speculative precomputation

    Jamison D. Collins;Dean M. Tullsen;Hong Wang;John P. Shen

  • Managing distributed ups energy for effective power capping in data centers

    Vasileios Kontorinis;Liuyi Eric Zhang;Baris Aksanli;Jack Sampson

  • Symbiotic jobscheduling with priorities for a simultaneous multithreading processor

    Allan Snavely;Dean M. Tullsen;Geoff Voelker

  • The McPAT Framework for Multicore and Manycore Architectures: Simultaneously Modeling Power, Area, and Timing

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • Mitosis compiler: an infrastructure for speculative threading based on pre-computation slices

    Carlos García Quiñones;Carlos Madriles;Jesús Sánchez;Pedro Marcuello

  • Shared register storage mechanisms for multithreaded computer systems with out-of-order execution

    Henry M. Levy;Susan J. Eggers;Jack Lo;Dean M. Tullsen

Frequent Co-Authors

Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
Brad Calder
Brad Calder Google (United States)
Susan J. Eggers
Susan J. Eggers University of Washington
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Henry M. Levy
Henry M. Levy University of Washington
Steven Swanson
Steven Swanson University of California, San Diego
Allan Snavely
Allan Snavely University of California, San Diego
Tajana Rosing
Tajana Rosing University of California, San Diego

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