World's Best Scientists 2026 revealed!
Robert Schreiber

Robert Schreiber

D-Index & Metrics

Computer Science

D-Index
58
Citations
21968
World Ranking
3543
National Ranking
1704

Research.com Recognitions

  • 2012 - ACM Fellow For contributions to matrix computations and to languages, compilers, and architectures for parallel scientific computing.
  • 2010 - SIAM Fellow For contributions to parallel and high performance computing, and algorithms for matrix computations.
  • 2006 - ACM Distinguished Member

Overview

Robert Schreiber is affiliated with Cerebras Systems in the United States. Their research spans multiple fields including Engineering, Materials Science, and Computer Science, with a notable focus on subfields such as Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, and Biomaterials.

Their work addresses a range of specialized topics including Machine Learning in Materials Science, Ferroelectric and Negative Capacitance Devices, Advanced Memory and Neural Computing, Numerical Methods and Algorithms, Machine Learning and Algorithms, Neural Networks and Applications, and Optical Network Technologies.

Schreiber's recent papers showcase contributions across these interdisciplinary areas. They include:

  • Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware, 2025, The Journal of Chemical Physics
  • Representation range needs for 16-bit neural network training, 2021, arXiv (Cornell University)
  • RETROSPECTIVE: Corona: System Implications of Emerging Nanophotonic Technology, 2023, arXiv (Cornell University)
  • Programmable self-assembly for scalable molecular electronic architectures, 2025, arXiv (Cornell University)

The venues where Robert Schreiber frequently publishes include arXiv (Cornell University) and The Journal of Chemical Physics.

Their research collaborations involve several frequent co-authors such as Danny Pérez, Aidan P. Thompson, Stan Moore, Tomas Oppelstrup, and Ilya Sharapov.

Robert Schreiber has been recognized with several awards throughout their career. They were named an ACM Fellow in 2012 for contributions to matrix computations and to languages, compilers, and architectures for parallel scientific computing. They also received the SIAM Fellow distinction in 2010 for contributions to parallel and high performance computing, and algorithms for matrix computations. Additionally, they were honored as an ACM Distinguished Member in 2006.

Best Publications

  • The NAS parallel benchmarks—summary and preliminary results

    D. H. Bailey;E. Barszcz;J. T. Barton;D. S. Browning

  • The Nas Parallel Benchmarks

    D.H. Bailey;E. Barszcz;J.T. Barton;D.S. Browning

  • The High Performance Fortran Handbook

    Charles H. Koelbel;David B. Loveman;Robert S. Schreiber;Guy L. Steele

  • Large-Scale Parallel Collaborative Filtering for the Netflix Prize

    Yunhong Zhou;Dennis Wilkinson;Robert Schreiber;Rong Pan

  • Sparse matrices in matlab: design and implementation

    John R. Gilbert;Cleve Moler;Robert Schreiber

  • Corona: System Implications of Emerging Nanophotonic Technology

    Dana Vantrease;Robert Schreiber;Matteo Monchiero;Moray McLaren

  • Driven cavity flows by efficient numerical techniques

    R Schreiber;H.B Keller

  • A Storage-Efficient $WY$ Representation for Products of Householder Transformations

    Robert S. Schreiber;Charles Van Loan

  • Addressing failures in exascale computing

    Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve

  • HyperX: topology, routing, and packaging of efficient large-scale networks

    Jung Ho Ahn;Nathan Binkert;Al Davis;Moray McLaren

  • Fast exact and heuristic methods for role minimization problems

    Alina Ene;William Horne;Nikola Milosavljevic;Prasad Rao

  • A New Implementation of Sparse Gaussian Elimination

    Robert Schreiber

  • Programmatic synthesis of processor element arrays

    Robert S. Schreiber;B. Ramakrishna Rau;Shail Aditya Gupta;Vinod K. Kathail

  • Generating local addresses and communication sets for data-parallel programs

    Siddhartha Chatterjee;John R. Gilbert;Fred J. E. Long;Robert Schreiber

  • Generating Local Addresses and Communication Sets for Data-Parallel Programs

    Siddhartha Chatterjee;John R. Gilbert;Fred J. E. Long;Robert Schreiber

  • Clustering social networks

    Nina Mishra;Robert Schreiber;Isabelle Stanton;Robert E. Tarjan

  • PICO: automatically designing custom computers

    V. Kathail;S. Aditya;R. Schreiber;B. Ramakrishna Rau

  • Average-case stability of Gaussian elimination

    Lloyd N. Trefethen;Robert S. Schreiber

  • Automatic Blocking of Nested Loops

    Jack Dongarra;Robert Schreiber

  • An improved Newton interaction for the generalized inverse of a Matrix, with applications

    Victor Pan;Robert Schreiber

Frequent Co-Authors

Norman P. Jouppi
Norman P. Jouppi Google (United States)
Jung Ho Ahn
Jung Ho Ahn Seoul National University
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Parthasarathy Ranganathan
Parthasarathy Ranganathan Google (United States)
Marco Fiorentino
Marco Fiorentino Hewlett Packard Enterprise (United States)
Horst D. Simon
Horst D. Simon Lawrence Berkeley National Laboratory
Robert E. Tarjan
Robert E. Tarjan Princeton University
Qianfan Xu
Qianfan Xu Rice University
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)

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