World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
7969
World Ranking
11484
National Ranking
4718

Overview

Scott Rixner is affiliated with Rice University in the United States. Their research spans multiple areas within computer science, with a primary focus on hardware architecture, computer networks and communications, and interdisciplinary work that includes plant science and molecular biology.

The scientist's main fields of study include Computer Science, with subfields covering:

  • Hardware and Architecture
  • Computer Networks and Communications
  • Plant Science
  • Molecular Biology
  • Artificial Intelligence

Key topics researched by Scott Rixner encompass:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Plant Virus Research Studies
  • Genomics and Phylogenetic Studies
  • Evolutionary Algorithms and Applications
  • Cloud Computing and Resource Management
  • Ferroelectric and Negative Capacitance Devices

They have contributed to multiple publication venues, most notably:

  • arXiv (Cornell University)
  • ACM Transactions on Reconfigurable Technology and Systems

Notable recent papers include:

  • "An FPGA Accelerator for Genome Variant Calling," 2023, ACM Transactions on Reconfigurable Technology and Systems
  • "GMEM: Generalized Memory Management for Peripheral Devices," 2023, arXiv (Cornell University)
  • "Design and accuracy trade-offs in Computational Statistics," 2025, arXiv (Cornell University)

Frequent collaborators in their work are:

  • Alan L. Cox
  • Tiancheng Xu
  • Runhua Zhang
  • Weixi Zhu

Scott Rixner's research integrates expertise across computational hardware and biological data analysis, incorporating advanced techniques in genomics and storage technology alongside developments in cloud computing and optimization algorithms.

Best Publications

  • Memory access scheduling

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Peter Mattson

  • Scheduling I/O in virtual machine monitors

    Diego Ongaro;Alan L. Cox;Scott Rixner

  • Imagine: media processing with streams

    B. Khailany;W.J. Dally;U.J. Kapasi;P. Mattson

  • The Hadoop distributed filesystem: Balancing portability and performance

    Jeffrey Shafer;Scott Rixner;Alan L. Cox

  • Programmable stream processors

    U.J. Kapasi;S. Rixner;W.J. Dally;B. Khailany

  • Register organization for media processing

    S. Rixner;W.J. Dally;B. Khailany;P. Mattson

  • The Imagine Stream Processor

    U.J. Kapasi;W.J. Dally;S. Rixner;J.D. Owens

  • A bandwidth-efficient architecture for media processing

    Scott Rixner;William J. Dally;Ujval J. Kapasi;Brucek Khailany

  • Translation caching: skip, don't walk (the page table)

    Thomas W. Barr;Alan L. Cox;Scott Rixner

  • Concurrent Direct Network Access for Virtual Machine Monitors

    P. Willmann;J. Shafer;D. Carr;A. Menon

  • Memory Controller Optimizations for Web Servers

    Scott Rixner

  • System and method for performing efficient conditional vector operations for data parallel architectures involving both input and conditional vector values

    William J. Dally;Scott Rixner;John D. Owens;Ujval J. Kapasi

  • Achieving 10 Gb/s using safe and transparent network interface virtualization

    Kaushik Kumar Ram;Jose Renato Santos;Yoshio Turner;Alan L. Cox

  • Stream Processor Architecture

    Scott Rixner

  • SpecTLB: a mechanism for speculative address translation

    Thomas W. Barr;Alan L. Cox;Scott Rixner

  • Efficient conditional operations for data-parallel architectures

    Ujval J. Kapasi;William J. Dally;Scott Rixner;Peter R. Mattson

  • Media processing applications on the Imagine stream processor

    J.D. Owens;S. Rixner;U.J. Kapasi;P. Mattson

  • Predictive parallelization: taming tail latencies in web search

    Myeongjae Jeon;Saehoon Kim;Seung-won Hwang;Yuxiong He

  • Protection strategies for direct access to virtualized I/O devices

    Paul Willmann;Scott Rixner;Alan L. Cox

  • A Low-Cost Multi-robot System for Research, Teaching, and Outreach

    James McLurkin;Andrew J. Lynch;Scott Rixner;Thomas W. Barr

Frequent Co-Authors

Alan L. Cox
Alan L. Cox Rice University
William J. Dally
William J. Dally Nvidia (United Kingdom)
John D. Owens
John D. Owens University of California, Davis
Brucek Khailany
Brucek Khailany Nvidia (United States)
Kartik Mohanram
Kartik Mohanram University of Pittsburgh
Joseph R. Cavallaro
Joseph R. Cavallaro Rice University
Sameh Elnikety
Sameh Elnikety Microsoft (United States)
Yuxiong He
Yuxiong He Microsoft (United States)
Swarat Chaudhuri
Swarat Chaudhuri The University of Texas at Austin
Behnaam Aazhang
Behnaam Aazhang Rice University

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