SUNMONTUEWEDTHUFRISAT
Events for March 29, 2019
-
Architecture and Runtime for Scalable Quantum Computers
Fri, Mar 29, 2019 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Moinuddin Qureshi , Georgia Institute of Technology
Talk Title: Architecture and Runtime for Scalable Quantum Computers
Abstract: Quantum computing promise exponential speedups for a class of important problems. However, this potential can be realized only by large-scale quantum systems that operate on a large number of qubits. Unfortunately, to build a scalable quantum computer several challenges must be overcome, including the design of conventional computing and memory systems that can effectively interface with the quantum substrate while obeying the thermal and power constraints dictated by the quantum devices. In this, talk, I will discuss some of our recent work in addressing the design challenges for the control computer for scalable quantum computers.
First, I will discuss our QuEST architecture from MICRO-50 that deals with taming the instruction bandwidth of quantum computers via hardware-managed Error Correction. Qubits are fickle and require continuous error correction. This can require an instruction bandwidth that must scale linearly with the number of qubits and can limit the scalability if error correction is managed in software. QuEST delegates the task of error correction to the hardware and uses programmable microcode to reduce the instruction bandwidth requirements. Second, I will discuss the feasibility of using DRAM-based memory system for Quantum Computers. Quantum computers will require significant memory that can operate at cryogenic temperatures. We characterized commodity DRAM at cryogenic environments and examined the minimum operating temperatures and nature of faults. Finally, I will discuss our upcoming work at ASPLOS 2019 that exploits variation in device error rate to improve the overall reliability of near-term quantum computers.
Biography: Moinuddin Qureshi is a Professor of Electrical and Computer Engineering at the Georgia Institute of Technology. His research interests include computer architecture, memory systems, hardware security, and quantum computing. Previously, he was a research staff member (2007-2011) at IBM T.J. Watson Research Center, where he developed the caching algorithms for Power-7 processors. He is a member of the Hall of Fame for ISCA, MICRO, and HPCA. His research has been recognized with the best paper award at MICRO 2018, best paper award at HiPC, and two selections (and three honorable mentions) at IEEE MICRO Top Picks. His ISCA 2009 paper on Phase Change Memory was awarded the 2019 Persistent Impact Prize in recognition of exceptional impact on the fields of study related to non-volatile memories. He was the Program Chair of MICRO 2015 and Selection Committee Co-Chair of Top Picks 2017. He received his Ph.D. (2007) and M.S. (2003) from the University of Texas at Austin
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 190329_Moinuddin Qureshi.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Brienne Moore
-
J. Joshua Yang Seminar- Friday, March 29th at 2PM in EEB 132
Fri, Mar 29, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: J. Joshua Yang, University of Massachusetts
Talk Title: Unconventional Computing With Memristive Devices
Abstract: Memristive devices have become a promising candidate for energy-efficient and high-throughput unconventional computing, which is a key enabler for artificial intelligent systems in the big data and IoT era. The computing can be implemented on a Resistive Neural Network with memristive synapses and neurons or a Capacitive Neural Network with memcapacitive synapses and neurons. In this talk, I will first briefly introduce the promises and challenges of memristive devices and the key ideas behind bio-inspired computing. I will then discuss a few examples selected from our recent experimental demonstrations of unconventional computing using memristive networks with different levels of bio-inspiration: first, deep learning accelerators with supervised online learning; second, neuromorphic computing for pattern classification with unsupervised learning; last, other computing applications, such as reinforcement learning for decision making, artificial nociceptors for robotics, provable key destruction and true random number generators for cybersecurity.
Biography: Dr. J. Joshua Yang is a professor of the Department of Electrical and Computer Engineering at the University of Massachusetts, Amherst. Before joining UMass in 2015, he spent eight years at HP Labs and led the Memristive Materials and Devices team since 2012. His current research interests are Nanoelectronics and Nanoionics for computing and artificial intelligent systems, where he authored and co-authored over 140 technical papers and holds 110 granted and 55 pending US Patents. His MRAM patents were licensed by Intel, RRAM patents were technology-transferred to SK-hynix for memory development and recent patents at UMass led to a spin-off company on AI accelerators. He was named as a Spotlight Scholar of UMass Amherst in 2017. He obtained his PhD from the University of Wisconsin - Madison in the Material Science Program in 2007.
Host: ECE-Electrophysics
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
