World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11376
World Ranking
6733
National Ranking
405

Overview

Olivier Temam is affiliated with DeepMind, located in the United Kingdom. Their research profile is currently characterized by affiliations rather than detailed data on publications, research topics, or academic contributions.

There are no recorded recent papers, including titles, publication years, or venues, associated with Olivier Temam in the available data.

No frequent co-authors have been identified in the provided information.

Similarly, no frequent publication venues are documented in relation to their work.

Olivier Temam's academic output does not currently include books published with any known publishers based on the given information.

Details on main fields of study or subfields of study are not available in the source data.

No specific topics of research or areas of focus have been provided.

There is no record of awards or honors associated with Olivier Temam in the provided data.

Best Publications

  • DaDianNao: A Machine-Learning Supercomputer

    Yunji Chen;Tao Luo;Shaoli Liu;Shijin Zhang

  • DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning

    Tianshi Chen;Zidong Du;Ninghui Sun;Jia Wang

  • ShiDianNao: shifting vision processing closer to the sensor

    Zidong Du;Robert Fasthuber;Tianshi Chen;Paolo Ienne

  • PuDianNao: A Polyvalent Machine Learning Accelerator

    Daofu Liu;Tianshi Chen;Shaoli Liu;Jinhong Zhou

  • Rapidly Selecting Good Compiler Optimizations using Performance Counters

    John Cavazos;Grigori Fursin;Felix Agakov;Edwin Bonilla

  • Semi-automatic composition of loop transformations for deep parallelism and memory hierarchies

    Sylvain Girbal;Nicolas Vasilache;Cédric Bastoul;Albert Cohen

  • Milepost GCC: Machine Learning Enabled Self-tuning Compiler

    Grigori Fursin;Yuriy Kashnikov;Abdul Wahid Memon;Zbigniew Chamski

  • DianNao family: energy-efficient hardware accelerators for machine learning

    Yunji Chen;Tianshi Chen;Zhiwei Xu;Ninghui Sun

  • Hardware spiking neurons design: Analog or digital?

    A. Joubert;B. Belhadj;O. Temam;R. Heliot

  • DaDianNao: A Neural Network Supercomputer

    Tao Luo;Shaoli Liu;Ling Li;Yuqing Wang

  • Putting Polyhedral Loop Transformations to Work

    Cédric Bastoul;Albert Cohen;Sylvain Girbal;Sylvain Girbal;Saurabh Sharma

  • To copy or not to copy: A compile-time technique for assessing when data copying should be used to eliminate cache conflicts

    O. Temam;E. D. Granston;W. Jalby

  • A defect-tolerant accelerator for emerging high-performance applications

    Olivier Temam

  • Code Generation and Optimization, 2007. CGO '07. International Symposium on

    John Cavazos;Grigori Fursin;Felix Agakov;Edwin V. Bonilla

  • Cache interference phenomena

    O. Temam;C. Fricker;W. Jalby

  • A quantitative analysis of loop nest locality

    Kathryn S. McKinley;Olivier Temam

  • MILEPOST GCC: machine learning based research compiler

    Grigori Fursin;Cupertino Miranda;Olivier Temam;Mircea Namolaru

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

    Tianshi Chen;Yunji Chen;Marc Duranton;Qi Guo

  • Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators

    Zidong Du;Avinash Lingamneni;Yunji Chen;Krishna Palem

  • Facilitating the search for compositions of program transformations

    Albert Cohen;Marc Sigler;Sylvain Girbal;Olivier Temam

  • Putting polyhedral loop transformations to work

    Cédric Bastoul;Albert Cohen;Sylvain Girbal;Saurabh Sharma

Frequent Co-Authors

Michael F. P. O'Boyle
Michael F. P. O'Boyle University of Edinburgh
Albert Cohen
Albert Cohen Google (United States)
Tianshi Chen
Tianshi Chen Chinese Academy of Sciences
Lieven Eeckhout
Lieven Eeckhout Ghent University
Paolo Ienne
Paolo Ienne École Polytechnique Fédérale de Lausanne
Koen De Bosschere
Koen De Bosschere Ghent University
Alex Ramirez
Alex Ramirez Google (United States)
Kathryn S. McKinley
Kathryn S. McKinley Google (United States)
Elad Yom-Tov
Elad Yom-Tov Microsoft (United States)
Norman P. Jouppi
Norman P. Jouppi Google (United States)

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