Concepedia

I/o Bottleneck Analysis

I/O Bottleneck Analysis is a methodological framework within performance evaluation that identifies and characterizes constraints in input/output operations that limit the overall throughput or efficiency of a computing system.

40

Publications

2.2K

Citations

154

Authors

49

Institutions

Publications per year

2017–2026

13

Parents

Publications

40

A 65nm 1Mb nonvolatile computing-in-memory ReRAM macro with sub-16ns multiply-and-accumulate for binary DNN AI edge processors

Wei-Hao Chen, Kaixiang Li, Wei‐Yu Lin et al. · 2018 · 328 citations

, , +16

On the data reuse and memory bandwidth analysis for full-search block-matching VLSI architecture

Jen-Chieh Tuan, Tian‐Sheuan Chang, Chein-Wei Jen · IEEE Transactions on Circuits and Systems for Video Technology · 2002 · 272 citations

, , +15

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks

Qing Liu, Jeremy Logan, Yuan Tian et al. · Concurrency and Computation Practice and Experience · 2013 · 212 citations

, , +15

A performance evaluation of RAID architectures

Shenze Chen, Don Towsley · IEEE Transactions on Computers · 1996 · 115 citations

, , +14

Toward simulation-time data analysis and I/O acceleration on leadership-class systems

Venkatram Vishwanath, Mark Hereld, Michael E. Papka · 2011 · 107 citations

, , +15

1–5 of 40

Authors

154

  1. RL
    Robert Latham

    Argonne National Laboratory, United States

    3 publications · 69 citations

    3

    h-index

  2. SP
    Sarunya Pumma

    Virginia Tech, United States

    3 publications · 88 citations

    3

    h-index

  3. PC
    Philip Carns

    Argonne National Laboratory, United States

    3 publications · 79 citations

    3

    h-index

  4. WF
    Wu-chun Feng

    Virginia Tech, United States

    3 publications · 88 citations

    3

    h-index

  5. SB
    Suren Byna

    Lawrence Berkeley National Laboratory, United States

    3 publications · 69 citations

    3

    h-index

1–5 of 154

Institutions

49

  1. Argonne National Laboratory

    Lemont, United States

    9 h-index

    26 publications

    1K citations

  2. Oak Ridge National Laboratory

    Oak Ridge, United States

    5 h-index

    20 publications

    2.2K citations

  3. Lawrence Berkeley National Laboratory

    Berkeley, United States

    4 h-index

    13 publications

    684 citations

  4. University of Illinois Urbana-Champaign

    Urbana, United States

    4 h-index

    9 publications

    311 citations

  5. Virginia Tech

    Blacksburg, United States

    3 h-index

    8 publications

    212 citations

  6. University of California, Berkeley

    Berkeley, United States

    2 h-index

    4 publications

    198 citations

  7. North Carolina State University

    Raleigh, United States

    2 h-index

    4 publications

    398 citations

  8. University of Massachusetts Amherst

    Amherst Center, United States

    2 h-index

    2 publications

    182 citations

1–8 of 49

Venues

  1. ACM SIGARCH Computer Architecture News

    2 publications · 38 citations

    2

    h-index

  2. Big Data Research

    1 publications · 14 citations

    1

    h-index

  3. 1

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 1 publications · 104 citations

    1

    h-index

  5. Computational Science & Discovery

    CSD · 1 publications · 35 citations

    1

    h-index

1–5