Slot-8 (4-talks)

Session T8A: Deep Learning

Date: 14 – 15, Thursday, August 8th

Location: Buzz Hall

Chair: Tetsuya Hoshino

  • Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training
    Haoyue Zheng (East China Normal University), Fei Xu (East China Normal University), Li Chen (University of Louisiana at Lafayette), Zhi Zhou (Sun Yat-sen University), Fangming Liu (Huazhong University of Science and Technology)
  • FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications
    Wenjia Zheng (Fordham University), Michael Tynes (Fordham University), Henry Gorelick (Fordham University), Ying Mao (Fordham University), Long Cheng (University College Dublin), Yantian Hou (Boise State University)
  • DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines
    Yang Cheng (Tsinghua University, Microsoft Research), Dan Li (Tsinghua University), Zhiyuan Guo (Microsoft Research, Beihang University), Binyao Jiang (Microsoft Research, Shanghai Jiao Tong University), Jiaxin Lin (Microsoft Research, Beihang University), Xi Fan (Microsoft Research, Shanghai Jiao Tong University), Jinkun Geng (Tsinghua University), Xinyi Yu (Microsoft Research, Shanghai Jiao Tong University), Wei Bai (Microsoft Research), Lei Qu (Microsoft Research), Ran Shu (Microsoft Research), Peng Cheng (Microsoft Research), Yongqiang Xiong (Microsoft Research), Jianping Wu (Tsinghua University)
  • swATOP: Automatically Optimizing Deep Learning Operators on SW26010 Many-Core Processor
    Wei Gao (Tsinghua University), Jiarui Fang (Tsinghua University), Wenlai Zhao (Tsinghua University), Jinzhe Yang (Imperial College London), Long Wang (Baidu), Lin Gan (Tsinghua University, National Supercomputing Center in Wuxi), Haohuan Fu (Tsinghua University, National Supercomputing Center in Wuxi), Guangwen Yang (Tsinghua University, National Supercomputing Center in Wuxi)

Session T8B: Tools and Their Use

Date: 14 – 15, Thursday, August 8th

Location: Room-1

Chair: Taisuke Boku

  • A Plugin Architecture for the TAU Performance System
    Allen D. Malony (University of Oregon), Srinivasan Ramesh (University of Oregon), Kevin Huck (University of Oregon), Nicholas Chaimov (ParaTools, Inc.), Sameer Shende (University of Oregon)
  • FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation *Best Paper Candidate
    Tao Wang (North Carolina State university), Nikhil Jain (Lawrence Livermore National Laboratory), David Beckingsale (Lawrence Livermore National Laboratory), David Boehme (Lawrence Livermore National Laboratory), Frank Mueller (North Carolina State university), Todd Gamblin (Lawrence Livermore National Laboratory)
  • Massively Parallel Automated Software Tuning
    Jakub Kurzak (University of Tennessee), Yaohung Tsai (University of Tennessee), Mark Gates (University of Tennessee), Ahmad Abdelfattah (University of Tennessee), Jack Dongarra (University of Tennessee)
  • Exploiting Vector Processing in Dynamic Binary Translation
    Chih-Min Lin (National Taiwan University), Sheng-Yu Fu (National Taiwan University), Ding-Yong Hong (Academia Sinica), Yu-Ping Liu (National Taiwan University), Jan-Jan Wu (Academia Sinica), Wei-Chung Hsu (National Taiwan University)

Session T8C: Applications 2 – Emerging Applications

Date: 14 – 15, Thursday, August 8th

Location: Room-2

Chair: Rio Yokota

  • Cosin: Controllable Social Influence Maximization and Its Distributed Implementation in Large-scale Social Networks
    Jingya Zhou (Soochow University, State Key Laboratory for Novel Software Technology), Jianxi Fan (Soochow University, Provincial Key Laboratory for Computer Information Processing Technology), Jin Wang (Soochow University, Provincial Key Laboratory for Computer Information Processing Technology)
  • Approximate Code: A Cost-Effective Erasure Coding Framework for Tiered Video Storage in Cloud Systems
    Huayi Jin (Shanghai Jiao Tong University), Chentao Wu (Shanghai Jiao Tong University), Xin Xie (Shanghai Jiao Tong University), Jie Li (Shanghai Jiao Tong University), Minyi Guo (Shanghai Jiao Tong University), Hao Lin (The Alibaba Group), Jianfeng Zhang (The Alibaba Group)
  • VScan: Efficiently Analyzing Surveillance Videos via Model-joint Mechanism
    Chen Zhang (Huazhong University of Science and Technology), Qiang Cao (Huazhong University of Science and Technology), Jie Yao (Huazhong University of Science and Technology), Yuanyuan Dong (Alibaba Group), Puyuan Yang (Alibaba Group)
  • Faster parallel collision detection at high resolution for CNC milling applications
    Xin Chen (Georgia Tech), Dmytro Konobrytskyi (Uber Advanced Technologies Group), Thomas M. Tucker (Tucker Innovations Inc.), Thomas R. Kurfess (Georgia Tech), Richard W. Vuduc (Georgia Tech)
© ICPP 2019 Organizing Committee