World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
90
Citations
40683
World Ranking
601
National Ranking
323

Electronics and Electrical Engineering

D-Index
79
Citations
29468
World Ranking
547
National Ranking
247

Research.com Recognitions

  • 2019 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2015 - ACM - IEEE CS Eckert-Mauchly Award For pioneering contributions to the design and analysis of high-performance processors and memory systems.
  • 2014 - Member of the National Academy of Engineering For contributions to the design of computer memory hierarchies.
  • 2006 - ACM Fellow For contributions to the design and analysis of high-performance processors and memory systems.

Overview

Norman P. Jouppi is affiliated with Google in the United States. Their research spans multiple fields within computer science and engineering, with a focus on advanced neural network applications and hardware architecture.

The scientist's work covers various subfields, including:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Networks and Communications

Key topics addressed in their research include:

  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • Advanced Optical Network Technologies
  • Stochastic Gradient Optimization Techniques
  • Computational Physics and Python Applications
  • Photonic and Optical Devices
  • Interconnection Networks and Systems

Norman P. Jouppi has contributed to several publications, with a notable presence in venues such as:

  • arXiv (Cornell University)
  • Communications of the ACM
  • IEEE Micro

Among recent papers authored or co-authored by them are:

  • A domain-specific supercomputer for training deep neural networks, 2020, Communications of the ACM
  • TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings, 2023, arXiv (Cornell University)

Norman P. Jouppi has also collaborated frequently with several researchers, including:

  • George Thomas Kurian
  • Nishant Patil
  • Cliff Young
  • Doe Hyun Yoon
  • Sheng Li

Their work has been recognized by several awards and honors, including:

  • Member of the National Academy of Engineering (2014) for contributions to the design of computer memory hierarchies
  • ACM - IEEE CS Eckert-Mauchly Award (2015) for pioneering contributions to the design and analysis of high-performance processors and memory systems
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2019
  • ACM Fellow (2006) for contributions to the design and analysis of high-performance processors and memory systems

Best Publications

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • 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

  • Improving direct-mapped cache performance by the addition of a small fully-associative cache and prefetch buffers

    Norman P. Jouppi

  • In-Datacenter Performance Analysis of a Tensor Processing Unit

    Norman P. Jouppi;Cliff Young;Nishant Patil;David Patterson

  • Improving direct-mapped cache performance by the addition of a small fully-associative cache and prefetch buffers

    Unknown

  • NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory

    Xiangyu Dong;Cong Xu;Yuan Xie;N. P. Jouppi

  • Complexity-effective superscalar processors

    Subbarao Palacharla;Norman P. Jouppi;J. E. Smith

  • CACTI: an enhanced cache access and cycle time model

    S.J.E. Wilton;N.P. Jouppi

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

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

  • CACTI 6.0: A Tool to Model Large Caches

    Naveen Muralimanohar;Rajeev Balasubramonian;Norman P. Jouppi

  • Corona: System Implications of Emerging Nanophotonic Technology

    Dana Vantrease;Robert Schreiber;Matteo Monchiero;Moray McLaren

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

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

  • Optimizing NUCA Organizations and Wiring Alternatives for Large Caches with CACTI 6.0

    Naveen Muralimanohar;Rajeev Balasubramonian;Norm Jouppi

  • Available instruction-level parallelism for superscalar and superpipelined machines

    Norman P. Jouppi;David W. Wall

  • Heterogeneous chip multiprocessors

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

  • An Enhanced Access and Cycle Time Model for On-Chip Caches

    Steven J.E. Wilton;Norman P. Jouppi

  • Dynamically selecting processor cores for overall power efficiency

    Keith Farkas;Norman P. Jouppi;Robert N. Mayo;Parthasarathy Ranganathan

  • TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

    Unknown

  • Reconfigurable caches and their application to media processing

    Parthasarathy Ranganathan;Sarita Adve;Norman P. Jouppi

  • The multicluster architecture: reducing cycle time through partitioning

    Keith I. Farkas;Paul Chow;Norman P. Jouppi;Zvonko Vranesic

  • The optimal logic depth per pipeline stage is 6 to 8 FO4 inverter delays

    M. S. Hrishikesh;Doug Burger;Norman P. Jouppi;Stephen W. Keckler

  • Rethinking DRAM design and organization for energy-constrained multi-cores

    Aniruddha N. Udipi;Naveen Muralimanohar;Niladrish Chatterjee;Rajeev Balasubramonian

Frequent Co-Authors

Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Parthasarathy Ranganathan
Parthasarathy Ranganathan Google (United States)
Jung Ho Ahn
Jung Ho Ahn Seoul National University
Robert Schreiber
Robert Schreiber Cerebras Systems
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)
Marco Fiorentino
Marco Fiorentino Hewlett Packard Enterprise (United States)

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