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Search: "[ keyword: GPU ]" (20)
    A Performance Study on CPU-GPU Data Transfers of Unified Memory Device
    Oh-Kyoung Kwon, Gibeom Gu KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 5, pp. 133-138, May. 2022
    https://doi.org/10.3745/KTCCS.2022.11.5.133
    Keywords: HPC, GPU, Unified Memory, Data Transfer

    GPU Memory Management Technique to Improve the Performance of GPGPUTask of Virtual Machines in RPC-Based GPU Virtualization Environments
    Jihun Kang KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 5, pp. 123-136, May. 2021
    https://doi.org/10.3745/KTCCS.2021.10.5.123
    Keywords: GPU Virtualization, GPU Memory, Resource Managements, Cloud computing, HPC Cloud

    GPGPU Task Management Technique to Mitigate Performance Degradation of Virtual Machines due to GPU Operation in Cloud Environments
    Jihun Kang, Joon-Min Gil KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 9, pp. 189-196, Sep. 2020
    https://doi.org/10.3745/KTCCS.2020.9.9.189
    Keywords: GPU Virtualization, Performance isolation, Scheduling, Cloud, GPGPU Task Management

    MSHR-Aware Dynamic Warp Scheduler for High Performance GPUs
    Gwang Bok Kim, Jong Myon Kim, Cheol Hong Kim KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 5, pp. 111-118, May. 2019
    https://doi.org/10.3745/KTCCS.2019.8.5.111  
    Keywords: GPU, Warp Scheduling, Cache, MSHR, Parallelism

    Efficient Collaboration Method Between CPU and GPU for Generating All Possible Cases in Combination
    Ki-Bong Son, Min-Young Son, Young-Hak Kim KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 9, pp. 219-226, Sep. 2018
    10.3745/KTCCS.2018.7.9.195
    Keywords: Combination, All Possible Cases, GPU, CPU, Collaboration

    Extending Caffe for Machine Learning of Large Neural Networks Distributed on GPUs
    Oh Jong-soo, Lee Dongho KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 4, pp. 99-102, Apr. 2018
    10.3745/KTCCS.2018.7.4.99
    Keywords: Parallel Programming, GPU Computing, Machine Learning

    A Novel Cooperative Warp and Thread Block Scheduling Technique for Improving the GPGPU Resource Utilization
    Do Cong Thuan, Yong Choi, Jong Myon Kim, Cheol Hong Kim KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 5, pp. 219-230, May. 2017
    10.3745/KTCCS.2017.6.5.219
    Keywords: Parallelism, Performance, Warp Scheduling, Resource utilization

    Spatial Computation on Spark Using GPGPU
    Chanseung Son, Daehee Kim, Neungsoo Park KIPS Transactions on Computer and Communication Systems, Vol. 5, No. 8, pp. 181-188, Aug. 2016
    10.3745/KTCCS.2016.5.8.181
    Keywords: Spark, Big Data, Spatial Data

    A Dual Transcoding Method for Retaining QoS of Video Streaming Services under Restricted Computing Resources
    Doo Hwan Oh , Won Woo Ro KIPS Transactions on Computer and Communication Systems, Vol. 3, No. 7, pp. 231-240, Jul. 2014
    10.3745/KTCCS.2014.3.7.231

    Approximating the Convex Hull for a Set of Spheres
    Byung Joo Kim , Ku Jin Kim , Young J. Kim KIPS Transactions on Computer and Communication Systems, Vol. 3, No. 1, pp. 1-6, Jan. 2014
    10.3745/KTCCS.2014.3.1.1

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