Search Results - "U‐Chupala, Pongsakorn"

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    Application-aware network: network route management using SDN based on application characteristics by U-chupala, Pongsakorn, Watashiba, Yasuhiro, Ichikawa, Kohei, Date, Susumu, Iida, Hajimu

    Published in CSI TRANSACTIONS ON ICT (2017)
    “…Software-Defined Network (SDN) and OpenFlow enable more granular network route management. SDN-assisted routing has become a prominent technique for improving…”
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    Journal Article
  3. 3

    Cuttlefish: Low-Rank Model Training without All the Tuning by Wang, Hongyi, Agarwal, Saurabh, U-chupala, Pongsakorn, Tanaka, Yoshiki, Xing, Eric P, Papailiopoulos, Dimitris

    Published 04-05-2023
    “…Recent research has shown that training low-rank neural networks can effectively reduce the total number of trainable parameters without sacrificing predictive…”
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    Journal Article
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    Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center by U-Chupala, Pongsakorn, Watashiba, Yasuhiro, Ichikawa, Kohei, Date, Susumu, Iida, Hajimu

    “…Similar to Virtualization, Linux Containers (LXC) provides high-performance, lightweight computing resource allocation and isolation. Each LXC container has a…”
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    Conference Proceeding
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    Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash by Mikami, Hiroaki, Suganuma, Hisahiro, U-chupala, Pongsakorn, Tanaka, Yoshiki, Kageyama, Yuichi

    Published 13-11-2018
    “…Scaling the distributed deep learning to a massive GPU cluster level is challenging due to the instability of the large mini-batch training and the overhead of…”
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    Journal Article
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    Application-Oriented Bandwidth and Latency Aware Routing with Open Flow Network by U-chupala, Pongsakorn, Ichikawa, Kohei, Iida, Hajimu, Kessaraphong, Nawawit, Uthayopas, Putchong, Date, Susumu, Abe, Hirotake, Yamanaka, Hiroaki, Kawai, Eiji

    “…Bandwidth and latency are two major factors that contribute the most to network application performance. Between each pair of switches in a network, there may…”
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    Conference Proceeding
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    An Empirical Study of SDN-accelerated HPC Infrastructure for Scientific Research by Date, Susumu, Abe, Hirotake, Khureltulga, Dashdavaa, Takahashi, Keichi, Kido, Yoshiyuki, Watashiba, Yasuhiro, U-Chupala, Pongsakorn, Ichikawa, Kohei, Yamanaka, Hiroaki, Kawai, Eiji, Shimojo, Shinji

    “…High performance computing is required for Big Science application because the proliferation and huge amount of scientific data that needs to be analyzed is a…”
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    Conference Proceeding
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    An implementation of a multi-site virtual cluster cloud by U-chupala, Pongsakorn, Uthayopas, Putchong, Ichikawa, Kohei, Date, Susumu, Abe, Hirotake

    “…The use of virtual cluster for High Performance Computing (HPC) work has a great benefit of hiding the complexity of physical infrastructure while providing a…”
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    Conference Proceeding
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    PRAGMA-ENT: Exposing SDN Concepts to Domain Scientists in the Pacific Rim by Ichikawa, Kohei, Tsugawa, Mauricio, Haga, Jason, Yamanaka, Hiroaki, Liu, Te-Lung, Kido, Yoshiyuki, U-Chupala, Pongsakorn, Huang, Che, Nakasan, Chawanat, Chang, Jo-Yu, Ku, Li-Chi, Tsai, Whey-Fone, Date, Susumu, Shimojo, Shinji, Papadopoulos, Philip, Fortes, Jose

    Published 28-09-2015
    “…The Pacific Rim Application and Grid Middleware Assembly (PRAGMA) is an international community of researchers that actively collaborate to address problems…”
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    Journal Article