Gpu Integration

GPU Integration is a technical framework within Heterogeneous System Architecture that enables the coherent and low-latency coupling of graphics processing units with central processing units, distinguished by its unified memory addressing, fine-grained data sharing, and synchronized task parallelism to accelerate general-purpose computing workloads.

241

Publications

13.1K

Citations

1.1K

Authors

373

Institutions

Publications per year

2017–2026

97

Authors

1.1K

  1. FZ
    Feng Zhang

    Renmin University of China, China

    10 publications · 314 citations

    10

    h-index

  2. BH
    Bingsheng He

    National University of Singapore, Singapore

    9 publications · 393 citations

    9

    h-index

  3. JZ
    Jidong Zhai

    Tsinghua University, China

    7 publications · 243 citations

    7

    h-index

  4. XD
    Xiaoyong Du

    Renmin University of China, China

    6 publications · 149 citations

    6

    h-index

  5. WC
    Wenguang Chen

    Tsinghua University, China

    5 publications · 188 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 2.2K citations

    9

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 5 publications · 195 citations

    5

    h-index

  3. Computer Physics Communications

    3 publications · 435 citations

    3

    h-index

  4. Journal of Chemical Theory and Computation

    JCTC · 3 publications · 319 citations

    3

    h-index

  5. Computers & Geosciences

    CAGEO · 3 publications · 35 citations

    3

    h-index

1–5