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D-Index & Metrics

Computer Science

D-Index
43
Citations
5557
World Ranking
8117
National Ranking
3476

Overview

Glenn Reinman is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on areas within computer science and engineering, with specific contributions to hardware and architecture, electrical and electronic engineering, and computer networks and communications.

The main topics of their work include:

  • Parallel Computing and Optimization Techniques
  • Low-power high-performance VLSI design
  • Interconnection Networks and Systems

Reinman's publication record includes recent work such as the paper titled "An Evaluation of Deeply Decoupled Cores", published in 2024 in the SSRN Electronic Journal. This paper has been cited three times and contributes to the ongoing discussion on processor architecture and optimization strategies.

Their frequent co-authors are:

  • Eren Kurshan
  • Anahita Shayesteh
  • Suleyman Sair
  • Timothy Sherwood

Reinman's research outputs are published primarily in venues including the SSRN Electronic Journal. The concentration of work in highly specialized topics within computer science and engineering reflects a focus on the design and efficiency of computing systems and networks.

Best Publications

  • CMP network-on-chip overlaid with multi-band RF-interconnect

    M.F. Chang;J. Cong;A. Kaplan;M. Naik

  • Selective value prediction

    Brad Calder;Glenn Reinman;Dean M. Tullsen

  • A scalable micro wireless interconnect structure for CMPs

    Suk-Bok Lee;Sai-Wang Tam;Ioannis Pefkianakis;Songwu Lu

  • A quantitative analysis on microarchitectures of modern CPU-FPGA platforms

    Young-kyu Choi;Jason Cong;Zhenman Fang;Yuchen Hao

  • CACTI 2.0: An Integrated Cache Timing and Power Model

    Glen Reinman;Norman P. Jouppi;Glenn Reinman;Norm Jouppi

  • Customizable Domain-Specific Computing

    Jason Cong;Glenn Reinman;Alex Bui;Vivek Sarkar

  • Fetch directed instruction prefetching

    Glenn Reinman;Brad Calder;Todd Austin

  • A scalable front-end architecture for fast instruction delivery

    Glenn Reinman;Todd Austin;Brad Calder

  • Architecture support for accelerator-rich CMPs

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • Predictive techniques for aggressive load speculation

    Glenn Reinman;Brad Calder

  • Supporting Address Translation for Accelerator-Centric Architectures

    Yuchen Hao;Zhenman Fang;Glenn Reinman;Jason Cong

  • An Integrated Cache Timing and Power Model

    Glen Reinman;Norman P. Jouppi;Glenn Reinman;Norm Jouppi

  • SteerBench: a benchmark suite for evaluating steering behaviors

    Shawn Singh;Mubbasir Kapadia;Petros Faloutsos;Glenn Reinman

  • The Art of Deception: Adaptive Precision Reduction for Area Efficient Physics Acceleration

    Thomas Yeh;Petros Faloutsos;Milos Ercegovac;Sanjay Patel

  • CHARM: a composable heterogeneous accelerator-rich microprocessor

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • Accelerator-Rich Architectures: Opportunities and Progresses

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • A modular framework for adaptive agent-based steering

    Shawn Singh;Mubbasir Kapadia;Billy Hewlett;Glenn Reinman

  • Dynamically reconfigurable hybrid cache: an energy-efficient last-level cache design

    Yu-Ting Chen;Jason Cong;Hui Huang;Bin Liu

  • RF interconnects for communications on-chip

    M.-C. Frank Chang;Eran Socher;Sai-Wang Tam;Jason Cong

  • BRAINIAC: Bringing reliable accuracy into neurally-implemented approximate computing

    Beayna Grigorian;Nazanin Farahpour;Glenn Reinman

  • Customizable domain-specific computing

    Jason Cong

Frequent Co-Authors

Jason Cong
Jason Cong University of California, Los Angeles
Petros Faloutsos
Petros Faloutsos York University
Brad Calder
Brad Calder Google (United States)
Mau-Chung Frank Chang
Mau-Chung Frank Chang University of California, Los Angeles
Todd Austin
Todd Austin University of Michigan–Ann Arbor
Timothy Sherwood
Timothy Sherwood University of California, Santa Barbara
Gokhan Memik
Gokhan Memik Northwestern University
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Michael Gill
Michael Gill Trinity College Dublin

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