World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8204
World Ranking
6231
National Ranking
2791

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to the microarchitecture and design of high-performance microprocessors and computer systems

Overview

Mikko H. Lipasti is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple disciplines within computer science and engineering, with a focus on parallel computing, hardware architecture, and neural computing.

The main fields of study in Mikko H. Lipasti's work include:

  • Computer Science
  • Engineering

Within these fields, their subfields of specialization cover:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence
  • Cognitive Neuroscience

The core topics addressed in their research are:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Data Storage Technologies
  • Low-power high-performance VLSI design
  • Embedded Systems Design Techniques
  • Neural dynamics and brain function

Mikko H. Lipasti has published recent papers in recognized venues, with examples including:

  • "Systems-on-Chip with Strong Ordering," 2021, ACM Transactions on Architecture and Code Optimization
  • "Energy-Efficient Bayesian Inference Using Bitstream Computing," 2023, IEEE Computer Architecture Letters
  • "TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency," 2023, ACM Transactions on Architecture and Code Optimization
  • "Turn-based Spatiotemporal Coherence for GPUs," 2023, ACM Transactions on Architecture and Code Optimization
  • "Value Locality Based Approximation With ODIN," 2020, IEEE Computer Architecture Letters

Frequent coauthors collaborating with Mikko H. Lipasti include:

  • Kyle Daruwalla
  • Gokul Subramanian Ravi
  • Sooraj Puthoor
  • Joshua San Miguel
  • Soroosh Khoram

The venues where Mikko H. Lipasti commonly publishes comprise:

  • ACM Transactions on Architecture and Code Optimization
  • arXiv (Cornell University)
  • IEEE Computer Architecture Letters
  • Frontiers in Computational Neuroscience
  • Proceedings of the Great Lakes Symposium on VLSI 2022

In recognition of their work, Mikko H. Lipasti was named an IEEE Fellow in 2013 for contributions related to microarchitecture and the design of high-performance microprocessors and computer systems.

Best Publications

  • Value locality and load value prediction

    Mikko H. Lipasti;Christopher B. Wilkerson;John Paul Shen

  • Exceeding the dataflow limit via value prediction

    Mikko H. Lipasti;John Paul Shen

  • Modern Processor Design: Fundamentals of Superscalar Processors

    John Paul Shen;Mikko H. Lipasti

  • Virtual Circuit Tree Multicasting: A Case for On-Chip Hardware Multicast Support

    Natalie Enright Jerger;Li-Shiuan Peh;Mikko Lipasti

  • Achieving predictable performance through better memory controller placement in many-core CMPs

    Dennis Abts;Natalie D. Enright Jerger;John Kim;Dan Gibson

  • SCARAB: a single cycle adaptive routing and bufferless network

    Mitchell Hayenga;Natalie Enright Jerger;Mikko Lipasti

  • An architectural evaluation of Java TPC-W

    H.W. Cain;R. Rajwar;M. Marden;M.H. Lipasti

  • Circuit-Switched Coherence

    N. Enright Jerger;Li-Shiuan Peh;M. Lipasti

  • SPAID: software prefetching in pointer- and call-intensive environments

    Mikko H. Lipasti;William J. Schmidt;Steven R. Kunkel;Robert R. Roediger

  • On the value locality of store instructions

    Kevin M. Lepak;Mikko H. Lipasti

  • Improving Multiprocessor Performance with Coarse-Grain Coherence Tracking

    Jason F. Cantin;Mikko H. Lipasti;James E. Smith

  • Light speed arbitration and flow control for nanophotonic interconnects

    Dana Vantrease;Nathan Binkert;Robert Schreiber;Mikko H. Lipasti

  • BenchNN: On the broad potential application scope of hardware neural network accelerators

    Tianshi Chen;Yunji Chen;Marc Duranton;Qi Guo

  • Precise and Accurate Processor Simulation

    Mikko H. Lipasti;Harold W. Cain;Kevin M. Lepak

  • Superspeculative microarchitecture for beyond AD 2000

    M.H. Lipasti;J.P. Shen

  • Silent stores for free

    Kevin M. Lepak;Mikko H. Lipasti

  • Physical Register Inlining

    Mikko H. Lipasti;Brian R. Mestan;Erika Gunadi

  • SPAID: software prefetching in pointer- and call-intensive environments

    Unknown

  • Memory Ordering: A Value-Based Approach

    Harold W. Cain;Mikko H. Lipasti

  • Virtual tree coherence: Leveraging regions and in-network multicast trees for scalable cache coherence

    N.D. Enright Jerger;Li-Shiuan Peh;M.H. Lipasti

  • AchievingPredictablePerformancethroughBetterMemory ControllerPlacementinMany-CoreCMPs

    Enright Jerger;John Kim;Dan Gibson;Mikko H. Lipasti

Frequent Co-Authors

Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
John Paul Shen
John Paul Shen Carnegie Mellon University
James E. Smith
James E. Smith University of Wisconsin–Madison
Natalie Enright Jerger
Natalie Enright Jerger University of Toronto
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Kewal K. Saluja
Kewal K. Saluja University of Wisconsin–Madison
Milo M. K. Martin
Milo M. K. Martin Google (United States)
John Kim
John Kim University of California, Los Angeles
Pradip Bose
Pradip Bose IBM (United States)
Olivier Temam
Olivier Temam DeepMind (United Kingdom)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're considering Computer Science in the USA, there are multiple related online degrees and career pathways to explore. Many online schools that accept low gpa offer flexible admission requirements, making advanced education accessible to a wider range of students.

For those seeking a fast-track option, an computer science degree online can help you launch your career sooner while balancing work and study. Affordability is another consideration, and the online environmental engineering degree science and engineering programs highlight cost-effective routes into technical fields.

Expanding your focus beyond computing, you might also wonder what can you do with an environmental science degree. Careers in this area often overlap with technology and engineering, providing a variety of options depending on your interests.

Exploring these pathways can help you find the most suitable program based on your academic background, financial needs, and professional goals.

Best Scientists Citing Mikko H. Lipasti

Trending Scientists

Recently Published Articles