Tuesday June 22, 2021
Title: Advances in memory state-preserving fault tolerance
Keynote speaker : Tzi-cker Chiueh
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Name: Tzi-cker Chiueh
Education : PhD in Computer Science, University of California at Berkeley
Position :
● Vice President and General Director of Information and Communications Research Laboratories
● Secretary General, Cloud Computing Association in Taiwan
● Professor, Computer Science Department, Stony Brook University
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Chair : Yennun Huang
Abstract :
Memory state-preserving fault tolerance (MPFT) enables a running process to continue to run without disruption in spite of any failure of the underlying hardware machine or operating system, and is built on the idea of continuous virtual machine migration and epoch-based execution model. Although there has been a commercial implementation of MPFT for some time, its real-world use is not as wide-spread as expected, mainly because its serious performance penalty. In this talk, I will first go over the main limitations of existing MPFT implementations, and then describe an open-source implementation of MPFT that not only supports all basic MPFT functionalities, but also removes all of these limitations.
Biography :
Dr. Tzi-cker Chiueh is currently the General Director of Information and Communications Labs at ITRI,
and Research Professor in the Computer Science Department of Stony Brook University and National Tsing Hua University.
Before joining ITRI, Dr. Chiueh served as the director of Core Research in Symantec Research Labs.
He received his BSEE from National Taiwan University, MSCS from Stanford University, and Ph.D. in CS from University of California at Berkeley in 1984,1988, and 1992, respectively.
He received an NSF CAREER award, numerous best paper awards including 2008 IEEE International Conference on Data Engineering (ICDE), 2013 ACM Systems and Storage (SYSTOR) conference, 2015 ACM Virtual Execution Environment (VEE) Conference
2016 IEEE Infocom Test of Time Paper Award, and 2016 ACM CGO Test of Time Paper Award, 2013 東元獎, 2017潘文淵傑出研究獎 and 2019 中國電機工程獎章.
Dr. Chiueh has published over 200 technical papers in referred conferences and journals. His current research interest lies in AI systems/applications, data/energy storage systems, and software security.
Wednesday June 23, 2021
Title: Future of Network and Service Automation: Resiliency Challenges for Communicating to the Limit
Keynote speaker : Marina Thottan
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Name: Marina Thottan
Education : Ph.D. in Electrical and Computer Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 2000
Position :
● Vice President Network and Security Systems Research Lab
● Nokia Bell labs
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Chair : Lelio Di Martino
Abstract :
We are at the dawn of an era of profound human progress based on digitalization. Digital transformation drives a set of new requirements that have the network at the center, connecting everything, providing compute wherever it is needed, and applying insights to execute with precision. To accomplish this, networks must be able to connect everything simultaneously, whenever necessary, with guaranteed reliability and security, even as the number, diversity, social and operating condition change. Innovation in automating networks and in creating new network-as-a-service platforms will be the key element enabling Communication Service Providers (CSPs) to finally become the new Digital Service Providers (DSPs) of the future. This talk illustrates the key challenges and innovation needed for creating the resilient hyper-connected automated network of the future.
Biography :
Marina Thottan joined Bell Labs Research in 1999, and has contributed to a wide variety of projects, including Content Distribution, Routing protocols, Data over Optical networks, High Speed Router Design, Network Management, Anomaly Detection and Smart Grid Networks. Most recently she has been leading work on End-to-End Network Orchestration, Network Slicing, and 5G Security. She and her team have also consulted with both domestic and international utilities on smart grid network transformation as well as with Communication Service Providers on their 5G transformation.
Marina received a Ph.D. in Electrical and Computer Engineering from Rensselaer in 2000. She has published over 50 papers in scientific journals, book chapters and conferences and holds several patents in the areas of network management, interactive network applications, routing algorithms, data analytics and network architectures. She is co-author of the book “Communication Networks for Smart Grids: Making Smart Grids Real” and has also Co-edited a book on “Algorithms for Next Generation Networks”.
Marina is a Bell Labs Fellow and an IEEE Fellow.
Thursday June 24, 2021
Title: Reliable Quantum Computing Needs Intelligent Software and Hardware
Keynote speaker : Moinuddin K. Qureshi
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Name: Moinuddin K. Qureshi
Education : University of Texas at Austin
Position :
● Professor of Computer Science at Georgia Tech
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Chair : Michael R. Lyu
Abstract :
Quantum computers can solve commercially important problems that are beyond the capability
of conventional computers. Quantum computing is at an inflection point where small systems
with a few dozen qubits have been demonstrated and the number of qubits is expected to
increase to several hundred over the coming years. As qubits are low-energy devices, they are
susceptible to high error-rates (in the range of 0.1% to 1% per operation). Unfortunately, quantum
error-correction incurs a significant overhead (dozens/hundreds of physical qubits per faulttolerant qubit) and is impractical for near-term machines. Therefore, hardware errors will
continue to severely restrict the length of the program that can be reliably executed on a nearterm quantum computer. In this talk, I will offer a computer-systems perspective of quantum
computers and then share some of our recent work that improves the reliability of near-term
quantum computers with intelligent software techniques. I will also discussthe hardware support
necessary to enable large-scale quantum computers.
Biography :
Moinuddin Qureshi is a Professor of Computer Science at the Georgia Institute of Technology. His
research interests include computer architecture, hardware security, and quantum computing. Qureshi
received his Ph.D. from the University of Texas at Austin in 2007. He was a research scientist at the IBM T.
J. Watson Research Center (2007-2011), where he developed the caching algorithms for Power 7 Systems.
He is a member of Hall-of-Fame of the trifecta of architecture conferences: ISCA, MICRO, and HPCA. His
research has been recognized with multiple best-paper awards and multiple IEEE Top-Picks awards. His
papers were also awarded the 2019 Persistent Impact Prize and 2021 Persistent Impact Prize, in recognition
of “exceptional impact on the fields of study related to non-volatile memories”. Qureshi received the 2020
“Outstanding Researcher Award” from Intel and an “Outstanding Technical Achievement” award from IBM
Research. More information at: https://www.cc.gatech.edu/~moin
