An Efficient Design Flow for Accelerating Complicated-connected CNNs on a Multi-FPGA Platform
Deguang Wang (National University of Defense Technology), Junzhong Shen (National University of Defense Technology), Mei Wen (National University of Defense Technology), Chunyuan Zhang (National University of Defense Technology)
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs
Leyuan Wang (Amazon, UC Davis), Zhi Chen (Amazon), Yizhi Liu (Amazon), Yao Wang (Amazon), Lianmin Zheng (Shanghai Jiao Tong University), Mu Li (Amazon), Yida Wang (Amazon)
Massively Parallel ANS Decoding on GPUs
Andre Weissenberger (Johann Wolfgang Goethe University), Bertil Schmidt (Johannes Gutenberg University of Mainz)
Session T9B: Parallel Data Structures
Date: 16– 17, Thursday, August 8th
Location: Room-1
Chair: Sivan Toledo
Building Scalable NVM-based B+tree with HTM
Mengxing Liu (Tsinghua University), Jiankai Xin (Tsinghua University), Kang Chen (Tsinghua University), Yongwei Wu (Tsinghua University)
BCL: A Cross-Platform Distributed Data Structures Library
Benjamin A. Brock (University of California, Berkeley Lawrence Berkeley National Laboratory), Aydn Buluc (Lawrence Berkeley National Laboratory University of California, Berkeley), Katherine Yelick (Lawrence Berkeley National Laboratory University of California, Berkeley)
On Integration of Appends and Merges in Log-Structured Merge Trees
Caixin Gong (Alibaba Group), Shuibing He (Zhejiang University), Yili Gong (Wuhan University), Yingchun Lei (Daowoo Times Tech. Co.)
Session T9C: IoT and Edge Computing
Date: 16– 17, Thursday, August 8th
Location: Room-2
Chair: Yohei Miki
NFV-Enabled Multicasting in Mobile Edge Clouds with Resource Sharing
Zichuan Xu (Dalian University of Technology), Yutong Zhang (Dalian University of Technology), Weifa Liang (The Australian National University), Qiufen Xia (Dalian University of Technology), Omer Rana (Cardiff University), Alex Galis (University College London), Guowei Wu (Dalian University of Technology), Pan Zhou (Huazhong University of Science and Technology)
QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space
Ke Li (Shanghai Jiao Tong University), Haowei Huang (Shanghai Jiao Tong University), Xiaofeng Gao (Shanghai Jiao Tong University), Fan Wu (Shanghai Jiao Tong University), Guihai Chen (Shanghai Jiao Tong University)
Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing
Alexandre da Silva Veith (Ecole Normale Superieure de Lyon, Inria), Felipe Rodrigo de Souza (Ecole Normale Superieure de Lyon, Inria), Marcos Dias de Assuncao (Ecole Normale Superieure de Lyon, Inria), Laurent Lefevre (Ecole Normale Superieure de Lyon, Inria), Julio Cesar Santos dos Anjos (Federal University of Rio Grande do Sul)
