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ACM TURC 2017 (SIGOPS ChinaSys) Call for Research Talks


The ACM TURC 2017 (SIGOPS ChinaSys) conference is a new leading international forum for academia, government, and industry to present novel research results in the principle and practice of computer systems. All topic areas related to design and implementation of computer systems are of interest and in scope.

The workshop will contain invited talks from renowned researchers, “best of the rest” talks covering top research papers from recent top systems related conferences, as well as peer-reviewed talks describing most-recent progresses in our community.

Previous SIGOPS China Call for Papers.

Program



2017-05-12: SIGOPS China Symposium

Opening

8:50-9:00

Yungang Bao, Haibo Chen, and Wenguang Chen

Keynote 1

9:00-10:00

Robbert van Renesse, Cornell University, Chair of ACM SIGOPS
Supercloud: A Library Cloud for Exploiting Cloud Diversity

Tea Break (10:00-10:20 )

Research Track Session 1: Cloud and Virtualization

10:20-10:45

Chao Wang (Ucloud Inc.); Xiang Song (Ucloud Inc.); Mojiong Qiu (Ucloud Inc.)
Best Practice of Process Hot Patch in Industry Environment

10:45-11:10

Lideng Ye (Ucloud Inc.); Ding Xiao (Ucloud Inc.); Sui Chen (Ucloud Inc.); Tianyi Song (Ucloud Inc.); Shishi Duan (Ucloud Inc.); Xiang Song (Ucloud Inc.); Mojiong Qiu (Ucloud Inc.); Xianfeng Mo (Ucloud Inc.)
UCloud General Computing Platform: Practice on Grouping Computing Resources

11:10-11:35

Yusen Wu (Hangzhou Dianzi University); Zujie Ren (Hangzhou Dianzi University); Weisong Shi (Wayne State University); Xing Wang (NetEase Inc.); Xiaolong Zhang (NetEase Inc.); E Chen (NetEase Inc.); Yuan Wang (NetEase Inc.)
An Early Experience on Container Technologies from NetEase

11:35-12:00

Hongliang Tian (Tsinghua University); Yong Zhang (Tsinghua University); Chunxiao Xing (Tsinghua University); Shoumeng Yan (Intel Corporation)
SGXKernel: A Library Operating System Optimized for Intel SGX

Lunch (12:00-14:00 )

Research Track Session 2: Who accelerates me? GPU/FPGA

14:00-14:20

Akrem Benatia (Beijing Institute of Technology); Weixing Ji (Beijing Institute of Technology); Yizhuo Wang (Beijing Institute of Technology); Feng Shi (Beijing Institute of Technology)
BestSF: A Tool for Selecting the Best Sparse Format on GPU

14:20-14:40

Yanqiang Liu (Shanghai Jiao Tong University); Yao Li (Shanghai Jiao Tong University); Weilun Xiong (Shanghai Jiao Tong University); Meng Lai (Shanghai Jiao Tong University); Cheng Chen (Morgan Stanley); Zhengwei Qi (Shanghai Jiao Tong University); Haibing Guan (Shanghai Jiao Tong University)
A Scala Based Framework for Developing Acceleration Systems Using FPGA

14:40-15:00

Li Zhisheng (National University of Defense Science and Technology); Wang Lei (National University of Defense Science and Technology); Dou Qiang (National University of Defense Science and Technology); Tang Yuxing (National University of Defense Science and Technology); Guo Shasha (National University of Defense Science and Technology); Jia Xun (National University of Defense Science and Technology)
CADSE: A Design Space Exploration Framework

15:00-15:20

Yong Wang (Baidu), Jian Ouyang (Baidu)
Implementing Large-scale Deep learning System with Customized Architecture Chip

Research Track Session 3: Emerging Memory Systems

15:20-15:40

Mingkai Dong (Shanghai Jiao Tong University); Haibo Chen (Shanghai Jiao Tong University)
Soft Updates Made Simple and Fast on Non-volatile Memory

15:40-16:00

Zhan Zhang (Huazhong University of Science and Technology)
Decreasing Memory Interference for Pre-Copy Based Checkpoint in Hybrid Memory Environment

Tea Break (16:00-16:40 )

Research Track Session 4: Really Big Graph Systems

16:40-17:00

Hao Howie Huang (The George Washington University)
High-Performance Computing Systems for Graph Analytics

17:00-17:20

Heng LIN (Tsinghua University)
ShenTu: A Scalable Graph Framework on 10 Million cores

17:20-17:40

Wencong Xiao (Beihang University & Microsoft Research)
TuX2: Distributed Graph Computation for Machine Learning

17:40-18:00

Pengcheng Yao (Huazhong University of Science and Technology)
Towards Dataflow-based Graph Accelerator

 


2017-05-13: SIGOPS China Symposium

Keynote 2

14:00-15:00

Tiejun Huang, Peking University
Theory and Practice of Brain-like Computer
 

Keynote 3

15:00-16:00

Yuan Xie, UCSB
Technology-driven and Application-driven Architecture Innovation: Past, Present, and Future 

Tea Break (16:00-16:30 )

Research Track Session 5: In-memory Databases

16:30-16:50

Quanlu Zhang (Peking University); Zhaoguo Wang (New York University); Jinyang Li (New York University); Yafei Dai (Peking University)
FAIR: Fast Recovery for In-Memory Database via Index Regeneration

16:50-17:10

Xingda Wei (Shanghai Jiao Tong University); Sijie Shen (Shanghai Jiao Tong University); Rong Chen (Shanghai Jiao Tong University); Haibo Chen (Shanghai Jiao Tong University)
Replication-driven Live Reconfiguration for Fast Distributed Transaction Processing

17:10-17:30

Wenlong Ma (Chinese Academy of Sciences), Yuqing Zhu (Chinese Academy of Sciences),Mengying Guo (Chinese Academy of Sciences), Yungang Bao (Chinese Academy of Sciences)
NbRedis : A Non-blocking Scaling Multi-core Hybrid Key-Value Store

Concluding Remarks (17:30-17:40 )

 

 

Keynote Speech


Keynote 1Robbert van Renesse (Cornell University, SIGOPS Chair, ACM Fellow)
Supercloud: A Library Cloud for Exploiting Cloud Diversity

Abstract:
Infrastructure-as-a-Service (IaaS) cloud providers hide available interfaces for VM placement and migration, CPU capping, memory ballooning, page sharing, and I/O throttling, limiting the ways in which applications can optimally configure resources or respond to dynamically shifting workloads. Given these interfaces, applications could migrate VMs in response to diurnal workloads or changing prices, adjust resources in response to load changes, and so on.

We propose a new abstraction that we call a "Library Cloud” and that allows users to customize the diverse available cloud resources to best serve their applications. We also built a prototype of a Library Cloud that we call the “Supercloud". The Supercloud encapsulates applications in a virtual cloud under users' full control, and can incorporate one or more availability zones within a cloud provider or across different providers. The Supercloud provides virtual machine, storage, and networking complete with a full set of management operations, allowing applications to optimize performance. We will discuss various innovations enabled by the Library Cloud.

Bio: Robbert van Renesse is a Research Professor of Computer Science at Cornell University. His research is on the practice and theory of scalable and fault tolerant distributed systems. He has published over 200 papers and patents on this topic, as well as a book. Van Renesse is elected Chair of the ACM Special Interest Group on Operating Systems, and Associate Editor of ACM Computing Surveys, the most cited journal in computer science. He has co-founded three companies transferring technology to industry. Van Renesse is an ACM Fellow.

   

Keynote 2: Tiejun Huang (Peking University)
Theory and Practice of Brain-like Computer

Abstract: Brain-like computer, also known as neuromorphic computer, is an intelligent machine that mimics the biological neural network, it is built with neuromorphic devices, and focuses on spatial-temporal information processing with large-scale and nonlinear features. The basic idea behind the brain-like computer is to bypass the more difficult scientific problem of understanding the intelligence, instead it first creates the intelligence, which means, it builds the brain-like computer through technologies like mimicking the brain’s structure, and then indirectly achieves the aim of intelligent simulation by training. In this talk, the speaker will introduce the related work of the brain-like computing, as well as its future prospects.

Bio: Tiejun Huang, Ph.D, is a Professor with the School of Electronic Engineering and Computer Science, Head of Department of Computer Science, Peking University. Professor Huang’s research areas include video coding and image understanding, especially neural coding inspired information coding theory in last years. He received the Ph.D. degree in Pattern Recognition and Intelligent System from the Huazhong (Central China) University of Science and Technology in 1998, and the master’s and bachelor’s degrees in Computer Science from the Wuhan University of Technology in 1995 and 1992, respectively. Professor Huang received the National Science Fund for Distinguished Young Scholars of China in 2014, and was awarded the Distinguished Professor of the Chang Jiang Scholars Program by the Ministry of Education in 2015. He is a member of the Board of the Chinese Institute of Electronics and the Advisory Board of IEEE Computing Now.。

   

Keynote 3Yuan Xie (UCSB, IEEE Fellow)
Technology-driven and Application-driven Architecture Innovation: Past, Present, and Future

Abstract:
The interaction between computer architecture and IC technology is complicated and bi-directional. Emerging technologies, such as 3D integration and new non-volatile memories, affect the decisions computer architects make, while the developments in computer architecture also influences the viability of different technologies. On the other hand, emerging applications, such as machine learning and VR/AR, also provide new drivers and pose new challenges for future architecture design. In this talk, the speaker first will review the trends in computer architecture research topics in the past 25 years, and use 3D-integration as an example to demonstrate the interaction of architecture and technology, transforming the technology from research exploration to finally commercial adoption in architecture. Then emerging NVM technology and neuromorphic computing will be discussed as examples of the influence of emerging technology and emerging application on future architecture research. As our community embarks upon the post-Moore's Law era and looks towards a post-CMOS life, technology-driven and application-driven architecture innovations will become the keys for future computer architecture research.

Bio: Yuan Xie received the B.S. degree in electronic engineering from Tsinghua University, Beijing, and the M.S. and Ph.D. degrees in computer engineering from Princeton University. He is currently a Professor in the ECE department at the University of California at Santa Barbara. Before joining UCSB in Fall 2014, he was with Pennsylvania State University, with rich industry experience in both research lab (AMD) and product team (IBM Worldwide Design Center).

Prof. Xie is a IEEE Fellow. He is also a recipient of the NSF CAREER award, SRC Inventor Recognition Award, IBM Faculty Award, and Best Paper Awards (HPCA15, ICCAD14, GLSVLSI14, ISVLSI12, ISLPED11) and Best Paper Award Nominations (MICRO13, ASPDAC09-10, DATE13, ICCAD06). He has published more than 200 research papers in prestigious IEEE/ACM journals and conferences, in the area of computer architecture, EDA, VLSI designs, and embedded systems. He is currently Editor-in-Chief for ACM Journal of Emerging Technologies in Computing Systems (JETC), Senior Associate Editor for ACM Transactions on Design Automation for Electronics Systems (TODAE), Associate Editor for IEEE Transactions on Computers (TC) and IEEE Embedded System Letter (ESL) and PC Chair of HPCA 2018. He is a member of both the ISCA Hall of Fame and the HPCA Hall of Fame, the two premier conferences in computer architecture, that recognize the top authors in those conferences.

 

 

Organizers


  • General Chair:
    Yungang Bao (ICT, Chinese Academy of Sciences)

    Program Chair:
    Wenguang Chen (Tsinghua University)
    Haibo Chen (Shanghai Jiao Tong University)

    TPC member:

     

     

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