Streaming Multiprocessor Design

Streaming Multiprocessor Design is a foundational architectural methodology in GPU computing that defines the organization and functionality of a streaming multiprocessor—the core execution unit responsible for managing and processing threads in parallel—by specifying its computational resources, instruction scheduling mechanisms, and memory hierarchy to optimize throughput and efficiency in massively parallel workloads.

105

Publications

5.1K

Citations

352

Authors

103

Institutions

Publications per year

2017–2026

26

Authors

352

  1. WJ
    William J. Dally

    Stanford University, United States

    7 publications · 998 citations

    7

    h-index

  2. MG
    Minyi Guo

    Shanghai Jiao Tong University, China

    6 publications · 295 citations

    6

    h-index

  3. MA
    Murali Annavaram

    University of Southern California, United States

    5 publications · 196 citations

    5

    h-index

  4. BK
    Brucek Khailany

    Nvidia (United States), United States

    5 publications · 933 citations

    5

    h-index

  5. JH
    Jung Ho Ahn

    Seoul National University, South Korea

    4 publications · 515 citations

    4

    h-index

1–5 of 352

Venues

  1. IEEE Computer Architecture Letters

    5 publications · 101 citations

    5

    h-index

  2. ACM SIGARCH Computer Architecture News

    4 publications · 246 citations

    4

    h-index

  3. IEEE Micro

    3 publications · 629 citations

    3

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 2 publications · 39 citations

    2

    h-index

  5. 2

    h-index

1–5