GLSVLSI 2017

Banff, Alberta, Canada, May 10-12, 2017

LINKS
Home
Organizing Committee
Program Committee
Program Schedule
Travel, Venue and Hotel Info
Conference Registration
Social Events
Call for Papers [PDF]
Call for Special Sessions [PDF]
Paper Submission
Future Editions
Past Editions
Contact Us
SPONSORS 

 

SUPPORTERS


 

Department of Electrical and Computer Engineering

   Image result for ualberta engineering logo

 
 
 

 

 Program Highlights

Keynotes | Technical Sessions | Special Sessions | Poster Sessions | Networking Events

You can download the FINAL Program Schedule in PDF and check every detail!

 

To all attendees:
There will be a cocktail reception in the Alpine room on Tuesday, May 9th, between 19:00 - 20:30!

 

Wednesday

Thursday

Friday

8:00 - 9:00

Registration (Heritage Hall) Registration (Heritage Hall) Registration (Heritage Hall)

9:00 -10:00

Keynote 1: Speaker: Leland Chang, IBM 

MT Temple A

Keynote 2: Speaker: Niraj Jha, Princeton Univ.

MT Temple A

Keynote 4: Speaker: Alex Jones, Univ. of Pittsburgh

MT Temple A

10:00 - 10:20

Coffee break

Trails Foyer

Coffee break

Trails Foyer

Coffee break

Trails Foyer

10:20 -12:00

Tech session 1: Lakeshore

Emerging Technologies and Paradigms for Low Power Computing

Tech session 2: Beehive

Design Techniques for Non-Traditional Computing

Tech session 6: Lakeshore

Hardware Security: New Advances in Timing Side Channel and Logic Obfuscation

Tech session 7: Beehive

Testing and Reliability

 

Tech session 9: Lakeshore

CAD under Challenges: Tight Constraints and Unreliability

Tech session 10:
Beehive

Memory Design from Circuits to Architectures

 

12:00 -1:30

Lunch

MT Temple A

Lunch + Keynote 3: Speaker: Andrew Putnam, Microsoft 

MT Temple A

Lunch + Poster session 2
 

MT Temple A

1:30 -2:50

Tech session 3: Lakeshore

Strategies for In-Memory Computing

 

Special session 1: Beehive

Low Power Computing based on Non-Volatile Memories

 

Tech session 8: Lakeshore

Emerging Technologies, RF Circuits and Security Functions

Special session 2: Beehive

Three-Dimensional Integrated Circuit Security

 

Special session 4: Lakeshore

Efficient IoT Systems: The power of Heterogeneous Integration

Invited session on innovation: Beehive

"Ideation and Entrepreneurship Mindset"

Dr. Alex Bruton, Professor of Entrepreneurship, University of Calgary

2:50 -3:20

Coffee break + Poster session 1:
 

Heritage Hall

 

Coffee break

Trails Foyer

Coffee break

Heritage Hall

3:20 - 3:50

Special session 3: Lakeshore

Logic Obfuscation for IoT Security: A New Arms Race?

Industry - academia workshop

MT Temple A

Innovation exchange Session
MT Temple A

3:50 - 4:40

 

Tech session 4: Lakeshore

Circuits, Architectures, and System Level Issues for Many-Core Processors

 

Tech session 5:
Beehive

CAD for the Nano Era

 

 

 

4:40 - 5:30

Guided Tour of Chateau Lake Louise (Max 30 People)

Or

Higing Trip Around Louise Shore

 

5:30 - 7:00

 

Lake shore / Fairview look out

 

7:00 onwards

Banquet & Invited Talk

S.T.E.V.E. - The Best Backronym Ever! Discovering Auroral Beads and citizen scientists -- Dr. Eric Donovan
 

Victoria Ballroom

 


Keynotes


 Cognitive Data-Centric Systems

https://media.licdn.com/mpr/mpr/shrinknp_200_200/AAEAAQAAAAAAAAtbAAAAJGMzZmE0NzY3LTYwM2QtNDY1Mi04MWEwLTM0ODVmYWUyZTlkZQ.jpg

Leland Chang

Senior Manager VLSI Design, IBM Research


ABSTRACT

With rapid growth in the availability of massive amounts of data and the development of new machine learning and deep learning techniques, significant opportunities exist in the application of computing to learn from data, build models, and discover insights - cognitive tasks that can augment human expertise in a broad range of industries. Computing systems must evolve to efficiently meet these needs by leveraging innovation in heterogeneous systems infrastructure and information technology consumption models that are increasingly driven by public and private cloud-based delivery. These new systems must be designed to accommodate the entirety of the overall workflow, including not just machine learning and analytics tasks, but also data management and manipulation. In a convergence with systems for classical modeling and simulation (HPC and technical computing), cognitive workloads can benefit dramatically from hardware acceleration. As decades of sustained CMOS technology scaling begins to slow, the specificity and optimality of hardware accelerators will be a key enabler for system-level performance while simultaneously presenting challenges in composing systems that seamlessly integrate traditional CPUs, multiple accelerators, and different memories. This talk will discuss cognitive data-centric systems for the next era of computing, in which balanced heterogeneous systems are delivered through the cloud.

BIOGRAPHY

Leland Chang is the Senior Manager of VLSI Design at the IBM T. J. Watson Research Center, where he leads a team driving the transition of new research concepts into next-generation POWER server and System Z mainframe products, including system architecture and microprocessor design implementation as well as roadmap definition and applications analysis. With a technical background spanning semiconductor technology, circuit design, system architecture, and software algorithms, his key contributions have included the FinFET structure for CMOS scaling, 8T-SRAM and high-speed register files for embedded memory scaling, integrated voltage regulators with new passive device technologies, and system design for emerging workloads such as machine learning and deep learning. He received the B. S., M. S., and Ph.D. degrees in electrical engineering and computer sciences from the University of California, Berkeley, has authored more than 75 technical articles and 115 patents, and is currently the memory subcommittee chair for the ISSCC technical program committee. 


Internet-of-Medical-Things

http://ee.princeton.edu/sites/default/files/jha.png

Prof. Niraj K. Jha,
Department of Electrical Engineering, Princeton University

jha@princeton.edu

 

ABSTRACT

We have arrived at the dawn of the Internet-of-Things (IoT) era. 25 billion devices (things or physical objects) are already connected to the Internet, and this number is expected to grow to 50 billion by 2020. IoT is a network of physical objects.These objects contain sensors, actuators, and processing elements that enable us to gather data, monitor the health of the object, make intelligent decisions, and optimize processes. IoT is expected to have a potential economic impact of $3-6 trillion per year by 2025, with $1-2.5 trillion of this economic impact (its largest fraction) coming from smart healthcare applications. These applications will be enabled by a personal healthcare system consisting of implantable and wearable medical sensors and devices connected to a personal health hub (e.g., a smartphone or smartwatch) that is connected to the Internet.

In this talk, we will explore this Internet-of-Medical-Things from two angles: energy-efficient inference and security. We will first explore energy-efficient inference on sensor nodes. This exploits sparsity, which is characteristic of a signal that allows us to represent information efficiently. We will look at an approach that enables efficient representations based on sparsity to be utilized throughout a signal processing system, with the aim of reducing the energy and/or resources required for computation, communication, and storage. Such intelligent sensor nodes can be expected to be an important building block of IoT. We will then show how wearable medical sensors, which are being increasingly used as part of a body-area network to provide proactive healthcare, can be used in a completely different domain: continuous authentication, through monitoring of the biological aura of the person. Unfortunately, as with any other technology, along with the upside, we also have the downside of IoT - if the security challenges facing IoT are not addressed, it may just become an Internet-of-Things-to-be-Hacked. Hence, in the last part of the talk, we will focus on the security of a body-area network that consists of implantable/wearable medical devices and a health hub. We will also explore physiological side channels that leak information about our health condition.

BIOGRAPHY

Niraj K. Jha received his B.Tech. degree in Electronics and Electrical Communication Engineering from Indian Institute of Technology, Kharagpur, India in 1981 and Ph.D. degree in Electrical Engineering from University of Illinois at Urbana-Champaign in 1985. He is a Professor of Electrical Engineering at Princeton University. He has served as an Associate Director for the Princeton Andlinger Center for Energy and the Environment. He is a Fellow of IEEE and ACM. He has co-authored five books, among which are "Switching and Finite Automata Theory, 3rd ed." and "Testing of Digital Systems" that are textbooks being used around the world. He has served as the editor-in-chief of IEEE Transactions on VLSI Systems and on the editorial boards of several other IEEE Transactions. He is an author or co-author of more than 430 papers among which are 14 award-winning papers. His research interests include smart healthcare, machine learning, computer security, IoT, energy-efficient design, IC design automation, FinFETs, and monolithic 3D IC design.


FPGAs in the Datacenter - Combining the Worlds of Hardware and Software Development

Portrait of Andrew Putnam

Andrew Putnam
Microsoft Research Technologies (MSR-T) lab

Andrew.Putnam@microsoft.com

ABSTRACT

The Catapult project has brought the power and performance of FPGA-based reconfigurable computing to Microsoft's hyperscale datacenters, accelerating major production cloud applications such as Bing web search and Microsoft Azure, and enabling a new generation of machine learning and artificial intelligence applications. Catapult is now deployed in nearly every new server across the more than a million machines that make up the Microsoft hyperscale cloud.

  

The presence of ubiquitous and programmable silicon in the datacenter ushers in a new era where the discipline and rigor of the VLSI community are combining with the speed and agility of the software community to form new opportunities in a blend development styles and techniques.

 

In this talk, I will describe the next generation of the Catapult configurable cloud architecture, and the tools and techniques that have made Catapult successful to date. I will also discuss areas where traditional hardware and software development flows fall short, and ways in which the VLSI community can branch into new opportunities in software and computing.

 

BIOGRAPHY

Andrew Putnam is a Principal Research Hardware Development Engineer in a collaboration between Microsoft Azure and Microsoft Research NExT. He received a dual B.A/B.S. from the University of San Diego in 2003, and an M.S. and Ph.D. in Computer Science and Engineering from the University of Washington in 2006 and 2009 respectively. His research focuses on reconfigurable computing, future datacenter design, and computer architecture, with an emphasis on seeing research through from concept to prototype to technology transfer. He was a founding member of the Microsoft Catapult project, which was the first to put Field Programmable Gate Arrays (FPGAs) into production hyperscale datacenters, doubling the capacity of each server for web search, and creating the fastest network in the cloud.


Green Computing: New Challenges and Opportunities

 AlexJones-square

 

Alex K. Jones
University of Pittsburgh

akjones@pitt.edu

ABSTRACT

As individuals and researchers approach the challenge of green computing it is natural to consider the energy consumption of computational devices and their supporting systems during their use phase (i.e., after they are deployed into service). This includes reducing energy consumption in processors, memory systems, peripheral devices, cooling systems and a host of other components that are used in deployed systems. However, for computing to be truly green, all phases of the system life-cycle, from manufacturing to disposal, must be considered. In particular there is limited awareness to the considerable fraction of the total life-cycle environmental impacts of computing systems that result from the fabrication of the integrated circuits (ICs) that are used in those devices. Studies have shown that the energy and environmental costs of IC fabrication can actually significantly outpace use-phase sustainability metrics and environmental impacts. With trends towards more exotic, thus, more environmentally unfriendly, fabrication approaches at deeply scaled nodes, life-cycle thinking for next generation computing systems that includes traditional optimization of operational energy-efficiency as well as minimizing impacts from IC fabrication is critical. In this talk I will present a new cadre of tools and methodologies to holistically evaluate energy consumption and other environmental impacts from computing.  Based on these tools, I will discuss new interdisciplinary research directions and educational opportunities that emerge towards achieving more sustainable computing.

BIOGRAPHY

Professor Alex K Jones is a MCSI Faculty Fellow in Sustainability and Director of Computer Engineering at the University of Pittsburgh. In addition to sustainable computing, his research interests include compilers, computer architectures, electronic design automation, and reliability. He is the author of more than 140 publications in these areas. His research is funded by the U.S. National Science Foundation, DARPA, CCC, the NSF CHREC center, and industry. Dr. Jones’ contributions have resulted in several awards including an ACM/SIGDA Distinguished Service Award, a seminal paper award from FCCM in addition to multiple best paper awards and nominations, a University of Pittsburgh Innovator Award, and the 2017 Carnegie Science Award. Recently, Dr. Jones led an effort in visioning for the electronic design automation community funded by the Computing Community Consortium (CCC). Dr. Jones is also actively involved in efforts to improve the scientific method for experiments in computers science and engineering, to develop methods reproducible research, and a centralized hub for computer architecture simulators, emulators, benchmarks and experiments. He serves on many journal editorial boards and conference committees including in area of sustainability, the IEEE Transactions on Sustainable Computing and the IEEE International Green and Sustainable Computing Conference. In his spare time he performs as the principal clarinetist with the Pittsburgh Philharmonic and Aeolian Winds and enjoys skiing and Tae Kwon Do.


Technical Sessions

Wednesday, May 10, 2017

9:00 – 10:00

Keynote 1 - MT Temple A

Leland Chang, Senior manager VLSI Design, IBM Research

Cognitive Data-centric Systems

Moderator: Deming Chen, University of Illinois at Urbana-Champaign, USA

 

 

10:00 – 10:20

Coffee Break - Trails Foyer

10:20 – 12:00

Session 1: Emerging Technologies and Paradigms for Low Power Computing - Lakeshore

Session Chairs

Deliang Fan, University of Central Florida, USA (Chair)

Deming Chen, University of Illinois at Urbana-Champaign, USA (Co-Chair)

 

1)       Design of a Low-Power Non-Volatile Programmable Inverter Cell for COGRE-based Circuits, Fabrizio Lombardi, Pilin Junsangsri, Salin Junsangsri and Martin Margala

2)       VaLHALLA: Variable Latency History Aware Local-carry Lazy Adder, Ali Murat Gok and Nikos Hardavellas

3)       Energy Efficient Magnetic Tunnel Junction Based Hybrid LSI Using Multi-Threshold UTBB-FD-SOI Device, Hao Cai, You Wang, Lirida Naviner, Wang Kang and Weisheng Zhao

4)       A Mixed-Size Monolithic 3D Placer with 2D Layout Inheritance, Xu He, Yao Wang, Yang Guo and Sorin Cotofana

5)       *LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks (Best Paper Candidate), Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu and Shawn Blanton

 

Session 2: Design Techniques for Non-Traditional Computing - Beehive

Session Chairs

Wujie Wen, Florida International University, USA (Chair)

Gang Qu, University of Maryland, USA (Co-Chair)

 

1)       Design of a Flash-based Circuit for Multi-Valued Logic, Monther Abusultan and Sunil Khatri

2)       Design of Approximate Logarithmic Multipliers, Weiqiang Liu, Jiahua Xu, Danye Wang and Fabrizio Lombardi

3)       Mitigating the Effect of the Reliability Soft-errors of the RRAM Devices on the Performance of the RRAM-based Neuromorphic Systems, Amr Tosson, Shimeng Yu, Mohab Anis and Lan Wei

4)       A Spin Transfer Torque based Cellular Neural Network (CNN) Architecture, Yu Bai

5)       Neuro-NoC: Neural Network based Predictive Routing for Network-on-Chip Architectures, Michel Kinsy and Shreeya Khadka

 

12:00 – 1:30

Lunch

MT Temple A

 

 

1:30 – 2:50

Session 3: Strategies for In-Memory Computing - Lakeshore

Session Chairs

Jie Han, University of Alberta, Canada (Chair)

Miroslav Velev, Aries Design Automation, USA (Co-Chair)

 

1)       *A Domain-Specific Language and Compiler for Computation-in-Memory Skeletons (Best Paper Candidate), Jintao Yu, Tom Hogervorst and Razvan Nane

2)       Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices, Shaahin Angizi, Zhezhi He and Deliang Fan

3)       Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-Memory Data Encryption, Zhezhi He, Shaahin Angizi, Farhana Parveen and Deliang Fan

4)       Evaluating Data Resilience in CNNs from an Approximate Memory Perspective,  Yuanchang Chen, Yizhe Zhu, Fei Qiao, Jie Han, Yuansheng Liu and Huazhong Yang

 

Special Session 1: Low Power Computing based on Non-Volatile Memories - Beehive

Session Chairs

Weisheng Zhao, Beihang University (Chair)

Damien Querlioz, University of Paris Saclay, CNRS (Co-Chair)

 

1)       Advanced Low Power Spintronic Memories beyond STT-MRAM,  Wang Kang, Zhaohao Wang, He Zhang, Sai Li, Youguang Zhang and Weisheng Zhao

2)       Exploiting Non-Volatility for Information Processing,  Robert Perricone, Li Tang, X. Sharon Hu and Michael Niemier

3)       Neuromorphic Computing Based on Resistive RAM, Zixuan Chen, Huaqiang Wu, Bin Gao, Peng Yao, Xinyi Li and He Qian

4)       Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems, Adrien F. Vincent, Nicolas Locatelli, Qifan Wu and Damien Querlioz

5)       Bio-inspired Programming of Resistive Memory Devices for Implementing Spiking Neural Networks, Elisa Vianello, Thilo Werner, Olivier Bichler, Etienne Nowak, Alessandro Grossi, Blaise Yvert, Barbara De Salvo, and Luca Perniola

6)        

2:50 – 3:50

Poster Session 1 - CAD, VLSI Design, VLSI Circuits and Power Aware Design - MT Temple A

 

1)       A maze routing-based algorithm for ML-OARST with pre-selecting and ripping up and re-building Steiner points, Kuen-Wey Lin, Yeh-Sheng Lin, Yih-Lang Li and Rung-Bin Lin

2)       An Integrated Optimization Framework for Partitioning, Scheduling and Floorplanning on Partially Dynamically Reconfigurable FPGAs, Xiaodong Xu, Qi Xu, Jinglei Huang and Song Chen

3)       Communication-aware Partitioning for Energy Optimization of Large FPGA Designs, Kalindu Herath, Alok Prakash, Jiang Guiyuan and Thambipillai Srikanthan

4)       Combined Centralized and Distributed Connection Allocation in Large TDM Circuit Switching NoCs, Yong Chen, Emil Matus and Gerhard Fettweis

5)       Random Forest Architectures on FPGA for Multiple Applications, Xiang Lin, Shawn Blanton and Donald Thomas

6)       Exploring Heterogeneous-ISA Core Architectures for High-Performance and Energy-Efficient Mobile SoCs, Wooseok Lee, Dam Sunwoo, Christopher D. Emmons, Andreas Gerstlauer and Lizy John

7)       An FPGA Coarse Grained Intermediate Fabric for Regular Expression Search, Thomas Luinaud, Pierre Langlois and Yvon Savaria

8)       Deadline-Aware Joint Optimization of Sleep Transistor and Supply Voltage for FinFET Based Embedded Systems, Huimei Cheng, Ji Li, Jeffrey Draper, Shahin Nazarian and Yanzhi Wang

9)       Energy Savings and Performance Improvement in Subthreshold Using Adaptive Body Bias, Rajsaktish Sankaranarayanan and Matthew R. Guthaus

10)   Low voltage stochastic flash ADC with front-end of inverter-based comparative unit, Xuncheng Zou, Bo Liu and Shigetoshi Nakatake

 

3:50 – 5:30

Session 4: Circuits, Architectures, and System Level Issues for Many-Core Processors – Lakeshore

Session Chairs:

Lombardi Fabrizio, Northeastern University, USA (Chair) 

Ioannis Savidis, Drexel University, USA (Co-Chair)  

 

1)       *A Robust C-element Design with Enhanced Metastability Performance (Best Paper Candidate), Kinshuk Sharma and Sunil Khatri

2)       Circuit Level Design of a Hardware Hash Unit for use in Modern Microprocessors, Abbas Fairouz, Monther Abusultan and Sunil Khatri

3)       DELCA: DVFS Efficient Low Cost Multicore Architecture, Shoumik Maiti and Sudeep Pasricha

4)       EEAL: Processors' Performance Enhancement Through Early Execution of Aliased Loads, Abhishek Rajgadia, Newton Singh and Virendra Singh

5)       Performance-aware resource management of multi-threaded applications on many-core systems, Daniel Olsen and Iraklis Anagnostopoulos

 

 

Session 5: CAD for the Nano Era - Beehive

Session Chairs

Weichen Liu, Chongqing University, China (Chair)

Qiaoyan Yu, University of New Hampshire, USA (Co-Chair)

 

1)       Redundant Via Insertion with Cut Optimization for Self-Aligned Double Patterning, Youngsoo Song, Jinwook Jung and Youngsoo Shin

2)       Improving Circuit Mapping Performance Through MIG-based Synthesis for Carry Chains, Zhufei Chu, Xifan Tang, Mathias Soeken, Ana Petkovska, Grace Zgheib, Luca Amaru, Yinshui Xia, Paolo Ienne, Giovanni De Micheli and Pierre-Emmanuel Gaillardon

3)       *Under-the-cell Routing to Improve Manufacturability (Best Paper Candidate), ΐlex Vidal-Obiols, Jordi Cortadella and Jordi Petit

4)       Boolean Decomposition for AIG optimization, Lucas Machado and Jordi Cortadella

5)       Mixed-Cell-Height Standard Cell Placement Legalization, Chung-Yao Hung, Peng-Yi Chou and Wai-Kei Mak

 

 


 

Thursday, May 11, 2017

9:00 – 10:00

Keynote 2 - MT Temple A

Professor Niraj K. Jha, Department of Electrical Engineering, Princeton University

Internet of Medical Things,

Moderator: Jie Han, University of Alberta, Canada

10:00 – 10:20

Coffee Break - Trails Foyer

10:20 – 12:00

Session 6: Hardware Security: New Advances in Timing Side Channel and Logic Obfuscation - Lakeshore

Session Chairs

Houman Homayoun, George Mason University, USA (Chair)

Guru Venkataramani, George Washington University, USA (Co-Chair)

 

1)       Covert Timing Channels Exploiting Non-Uniform Memory Access based Architectures, Fan Yao, Guru Venkataramani and Milos Doroslovacki

2)       A Novel Side-channel Timing Attack on GPUs, Zhen Hang Jiang, Yunsi Fei and David Kaeli

3)       *A Low-Cost Secure GPS Spoofing Detector Design for the Internet of Things Applications (Best Paper Candidate), Md Tanvir Arafin, Dhananjay Anand and Gang Qu

4)       Cyclic Obfuscation for Creating SAT-Unresolvable Circuits, Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan and Yier Jin

5)       Double DIP: Re-Evaluating Security of Logic Encryption Algorithms, Yuanqi Shen and Hai Zhou

Session 7: Testing and Reliability- Beehive

Session Chairs

Chih-Tsun Huang, National Tsing Hua University, Taiwan (Chair)

Hung-Pin (Charles) Wen, National Chiao Tung University, Taiwan (Co-Chair)

 

1)       *Efficient Critical Path Selection Under a Probabilistic Delay Model (Best Paper Candidate), Ahish Mysore Somashekar and Spyros Tragoudas

2)       Combining Restorability and Error Detection Ability for Effective Trace Signal Selection, Binod Kumar, Ankit Jindal, Masahiro Fujita and Virendra Singh

3)       Radiation-Hardened Designs for Soft-Error-Rate Reduction by Delay-Adjustable D-Flip-Flops, Yuwen Lin, Charles H.-P. Wen, Herming Chiueh

4)       Effective Mitigation of Radiation-induced Single Event Transient on Flash-based FPGAs, Luca Sterpone, Sarah Azimi, Boyang Du, David Merodio Codinachs and Raoul Grimoldi

5)       Energy Efficient Adaptive Approach for Dependable Performance in the presence of Timing Interference, Nikolaos Zompakis, Michail Noltsis, Dimitrios Rodopoulos, Francky Catthoor and Dimitrios Soudris

 

MS Session 1:

Plain of Six Glaciers

Moderator: Chris Miller, Rose-Hulman Institute of Technology

 

1)       Design Flows and Collateral for the ASAP7 7nm FinFET Predictive Process Design Kit, Lawrence Clark, Vinay Vashishtha, David Harris, Sam Dietrich and Zunyan Wang

2)       WIP: Open-Source Standard Cell Characterization Process-flow on 45 nm (FreePDK45), 0.18 μm, 0.25 μm, 0.35 μm and 0.5 μm, Rabin Thapa, Samira Ataei and James Stine

3)       SoC FPAA Immersed Junior Level Circuits Course, Jennifer Hasler, Aishwarya Aishwarya and Sahil Shah

4)       Teaching Microelectronics at Olin College, Bradley Minch

5)       Innovative practice in the French microelectronics education targeting the industrial needs, Olivier Bonnaud and Laurent Fesquet.

12:00 – 1:30

Keynote 3 and Lunch - MT Temple A

Andrew Putnam, Microsoft Research Technologies (MSR-T) lab

FPGAs in Datacenter – Combining the Worlds of Hardware and Software Development,

Moderator: Miroslav Velev, Aries Design Automation

 

 

 

1:30 – 2:50

Session 8: Emerging Technologies, RF Circuits and Security Functions - Lakeshore

Session Chairs

Tsung-Yi Ho, National Tsing Hua University, Taiwan (Chair)

Deliang Fan, University of Central Florida, USA (Co-Chair)

 

1)       Design Automation for Paper Microfluidics with Passive Flow Substrates , Joshua Potter, William Grover and Philip Brisk

2)       *Neuromorphic 3D Integrated Circuit: A Hybrid, Reliable and Energy Efficient Approach for Next Generation Computing (Best Paper Candidate), Md Amimul Ehsan, Zhen Zhou and Yang Yi

3)       Method for Phase Noise Analysis of RF Circuits, Dimo Martev, Sven Hampel and Ulf Schlichtmann

4)       Revealing On-chip Proprietary Security Functions with Scan Side Channel Based Reverse Engineering, Leonid Azriel, Ran Ginosar and Avi Mendelson

 

 

Special Session 2: Three-Dimensional Integrated Circuit (3D-IC) Security - Beehive

Session Chair

Qiaoyan Yu, University of New Hampshire (Chair)

 

1)       Security Threats and Countermeasures in Three-Dimensional Integrated Circuits , Jaya Dofe, Peng Gu, Dylan Stow, Qiaoyan Yu, Eren Kursun and Yuan Xie

2)       Impact of Power Distribution Network on Power Analysis Attacks in Three-Dimensional Integrated Circuits, Jaya Dofe, Zhiming Zhang, Qiaoyan Yu, Chen Yan and Emre Salman

3)       The Need for Declarative Properties in Digital IC Security, Mohamed El Massad, Frank Imeson, Siddharth Garg and Mahesh Tripunitara

4)       Securing Split Manufactured ICs with Wire Lifting Obfuscated Built-In Self-Authentication, Qihang Shi, Kan Xiao, Domenic Forte and Mark Tehranipoor

 

MS Session 2: Panel: VLSI – The Tall Thin Designer Looks at 40: The Past, Present, and Future of VLSI Design Education - Plain of Six Glaciers

Moderator: John Nestor, Layfayette College

 

Panelists:

David Harris, Harvey Mudd College

Jennifer Hasler, Georgia Tech

Russ Pina, MOSIS

James Stine, Oklahoma State University

 

This panel will explore the past, present, and future of VLSI Design courses, reflecting on how the original courses impacted education and technology, how courses have evolved over time in response to changes in technology and design methods, and what we might expect in these courses in the future.

 

2:50 – 3:20

Coffee Break - Trails Foyer

 

 

3:20 – 4:40

Special Session 3: Logic Obfuscation for IoT Security: A New Arms Race? - Lakeshore

Yier Jin, University of Central Florida (Chair)

Gang Qu, University of Maryland (Co-Chair)

 

1)       An Empirical Study on Gate Camouflaging Methods Against Circuit Partition Attack, Xueyan Wang, Qiang Zhou, Yici Cai and Gang Qu

2)       What to Lock? Functional and Parametric Locking, Muhammad Yasin, Abhrajit Sengupta, Benjamin Carrion Schafer, Yiorgos Makris, Ozgur Sinanoglu and Jeyavijayan Rajendran

3)       Circuit Obfuscation and Oracle-guided Attacks: Who Can Prevail?, Kaveh Shamsi, Meng Li, Travis Meade, Zheng Zhao, David Z. Pan, and Yier Jin

4)       Comparative Analysis of Hardware Obfuscation for IP Protection, Sarah Amir, Bicky Shakya, Domenic Forte, Mark Tehranipoor, and Swarup Bhunia

 

Industry Academia Workshop – MT Temple A

 

Laleh Behjat, University of Calgary, Canada (Chair)

Tina Hudson, Rose-Hulman University, USA (Co-Chair)

 

In this facilitated workshop, we will bring together industry leaders, experienced faculty and students to discuss industrial issues related to microelectronics education. At the beginning, sponsoring companies will have an opportunity to present their university relations programs and products in an interactive, small-group setting. Each company will have a faculty advocate that uses their programs and/or products. Participants will rotate to different companies through this part of the workshop. In the second half of this workshop, small groups will have a facilitated discussion about the changing role of education in preparing students for the new challenges facing industry. Once the discussions are over, there will be a sharing of the main ideas of each group on the themes. The workshop will close by compiling a set of recommendations and best practices.

 

 

5:00 – 7:00

Hike around Lake Louise Shore line

Or

Chateau Lake Louise Tour

7:00 – 9:00

Banquet, awards and Invited Talk – Victoria Ballroom

Invited speaker: Dr. Eric Donovan, Professor and Associate Dean Research and Graduate Education for the University of Calgary, Faculty of Science

S.T.E.V.E. - The Best Backronym Ever!

Studying Aurora and the role of citizen scientists

 

 


 

Friday, May 12, 2017

9:00 – 10:00

Keynote 4 - MT Temple A

Alex Jones, Professor, University of Pittsburgh,

Green Computing: New Challenges and Opportunities,

Moderator: Laleh Behjat, University of Calgary, Canada

10:00 – 10:20

Coffee Break - Trails Foyer

10:20 – 12:00

Session 9: CAD under Challenges: Tight Constraints and Unreliability - Lakeshore

Session Chairs 

Jing-Jia Liou, National Tsing Hua University, Taiwan (Chair)

Wujie Wen, Florida International University, USA (Co-Chair)

 

1)       Analysis of Single Event Upsets in Combinational Designs at RTL Based on Satisfiability Modulo Theories, Ghaith Kazma, Ghaith Bany Hamad, Otmane Ait Mohamed and Yvon Savaria

2)       Fine-Grain Program Snippets Generator for Mobile Core Design, Shuang Song, Raj Desikan, Mohamad Barakat, Sridhar Sundaram, Andreas Gerstlauer and Lizy K. John

3)       Coupling-Aware Functional Timing Analysis for Tighter Bounds: How Much Margin Can We Relax?, Jack S.-Y. Lin, Louis Y.-Z. Lin, Ryan H.-M. Huang and Charles H.-P. Wen

4)       Thermal Constrained Energy Efficient Real-Time Scheduling on Multi-Core Platforms, Shi Sha, Wujie Wen, Shaolei Ren and Gang Quan

5)       5) Quantitative Modeling of Thermo-Optic Effects in Optical Networks-on-Chip, Weichen Liu, Peng Wang, Mengquan Li, Yiyuan Xie and Nan Guan

Session 10: Memory Design from Circuits to Architectures - Beehive

Session Chairs

Ioannis Savidis, Drexel University, USA (Chair)

Selcuk Kose, University of South Florida, USA (Co-Chair)

 

1)       A Reconfigurable Replica Bitline to Determine Optimum SRAM Sense Amplifier Set Time, Samira Ataei and James Stine

2)       Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories, Lei Jiang, Sparsh Mittal and Wujie Wen

3)       Design Space Exploration of TAGE Branch Predictor with Ultra-Small RAM, Chaobing Zhou, Libo Huang, Zhisheng Li, Tan Zhang and Qiang Dou

4)       A Power Efficient Architecture with Optimized Parallel Memory Accessing for Feature Generation, Peng Ouyang, Shouyi Yin, Chunxiao Xing, Leibo Liu and Shaojun Wei

5)       Design of Approximate High-Radix Dividers by Inexact Binary Signed-Digit Addition, Fabrizio Lombardi, Linbin Chen, Weiqiang Liu, Jie Han and Paolo Montuschi

MS Technical Session 2:

Plain of Six Glaciers

Moderator: Mohammed Moshirpour, University of Calgary

1)       Indiana Bicentennial Torch Project: Trial by Fire, Todd Wild, Gabriel Martini, Noah Chesnut and Mark Johnson

2)       Teaching Assembly Programming for ARM-based Microcontrollers in a Professional Development Kit, Weiying Zhu

3)       From Microelectronics to Making: Incorporating Microelectronics in a First-Year Introduction to Engineering Course, John Nestor

4)       Integrating Emerging Memory Technologies into Undergraduate Logic Design Course: The Impact of Context Based Teaching, Arifa Hoque, William Sutton, Kawsher Roxy and Sanjukta Bhanja

5)       SF3: A Scalabe and Flexible FPGA-Framework for Education and Rapid Prototyping, Jan Dόrre and Holger Blume

12:00 – 1:30

Lunch and Poster Session 2 -  MT Temple A

Testing/Reliability/Fault-Tolerance, Biochips and Biological Systems, Emerging Computing & Post-CMOS Technologies, Hardware Security

Moderator: Mark Johnson

 

1)       Throughput Optimization for Lifetime Budgeting in Many Core Systems, Liang Wang, Xiaohang Wang, Ho-Fung Leung and Terrence Mak

2)       A Test Pattern Quality Metric for Diagnosis of Multiple Stuck-at and Transition faults, Sarmad Tanwir, Michael Hsiao and Loganathan Lingappan

3)       Switched Capacitor and Infinite Impulse Response Summation For A Quarter-Rate DFE With 4Gb/s Data Rate, Gyunam Jeon and Yong-Bin Kim

4)       Reducing Microfluidic Very Large Scale Integration (mVLSI) Chip Area by Seam Carving, Brian Crites, Karen Kong and Philip Brisk

5)        LUTOSAP: Lookup-Table-Based Online Sample Preparation in Microfluidic Biochips, Lingxuan Shao, Yibin Yang, Hailong Yao and Tsung-Yi Ho 

6)       ProACt: A Processor for High Performance On-demand Approximate Computing, Arun Chandrasekharan, Daniel Grobe, and Rolf Drechsler

7)       Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks, Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper and Yanzhi Wang

8)       Computing Polynomials with Positive Coefficients using Stochastic Logic by Double-NAND Expansion, Sayed Ahmad Salehi, Yin Liu, Marc Riedel and Keshab Parhi

9)       On the Role of Sequential Circuits in Stochastic Computing, Pai-Shun Ting and John Hayes

10)   Circuit Techniques for Online Learning of Memristive Synapses in CMOS-Memristor Neuromorphic Systems, Sagarvarma Sayyaparaju, Gangotree Chakma, Sherif Amer and Garrett S. Rose

11)   Mitigating Control Flow Attacks in Embedded Systems with Novel Built-in Secure Register Bank, Sean Kramer, Zhiming Zhang, Jaya Dofe and Qiaoyan Yu 

12)   Using Security Invariant to Verify Confidentiality in Hardware Design, Shuyu Kong, Yuanqi Shen and Hai Zhou

13)   Leveraging All-Spin Logic to Improve Hardware Security, Qutaiba Alasad, Jiann Yuan and Deliang Fan

Poster Session MSE:

1)       CloudV: A Cloud-Based Educational Digital Design Environment, Mohamed Shalan and Sherief Reda

2)       Work in Progress: MicroElectronics Cloud Alliance. The design of new Open Educational Resources for an Educational Cloud, Rosario Gil-Ortego, Manuel Castro-Gil, Slavka Tzanova and Etienne Sicard

3)       WIP: Optimization Algorithms: A Key Component of EDA Education, Florin Balasa and Safaa Mohamed

4)       Using Babbage’s Difference Engine to Introduce Computer Architecture, William Richard

5)       On-die Thermal Evaluation System, Suresh Parameswaran and Boon Ang

6)       An Adaptive Senior Design Course with an Emphasis on Undergraduate Course Curriculum, Vishwa Teja Alaparthy and Selcuk Kose

 

 

1:30 – 2:50

Special Session 4: Efficient IoT Systems: The Power of Heterogeneous Integration - Lakeshore

Selcuk Kose, University of South Florida (Chair)

Ioannis Savidis, Drexel University (Co-Chair)

 

1)       Efficient and Secure On-Chip Reconfigurable Power Delivery for IoT Devices, Selcuk Kose

2)       Design Space Modeling and Simulation for Physically Constrained 3D CPUs, Caleb Serafy, Zhiyuan Yang and Ankur Srivastava

3)       Automated Design of Stable Power Delivery Systems for Heterogeneous IoT Systems, Inna Partin-Vaisband

4)       Work Load Scheduling For Multi Core Systems With Under-Provisioned Power Delivery, Divya Pathak, Houman Homayoun and Ioannis Savidis

 

Session on Innovation I - Ideation and Entrepreneurship Mindset - Beehive

Laleh Behjat, University of Calgary (Chair)

 

Alex Bruton, Professor of Entrepreneurship, University of Calgary

This highly interactive session will challenge your thinking about what it means to be innovative and entrepreneurial, it will inspire action, and it will provide you with a suite of highly practical tools you can take back to your desk on Monday to lead change at the next whiteboard or on the back of the next napkin you run into.

 

Session on Innovation II - Fostering the Entrepreneurial Mindset Using the KEEN Foundation 3Cs - Plain of Six Glaciers

 

Tina Hudson, Rose-Hulman Institute of Technology

 

The KEEN foundation believes that every engineer, regardless of position, can benefit from an entrepreneurial mindset. In this interactive workshop, we will describe entrepreneurial mindset learning, the KEEN Foundation's framework for helping every student develop an entrepreneurial mindset, and methods that help you encourage this mindset in your classroom.

 

2:50 – 3:20

Coffee Break – Heritage Hall

3:20 – 5:30

Innovation Challenge - MT Temple A

Embedded Systems IoT Application

 

Tina Hudson, Rose-Hulman University, USA (Chair)

Laleh Behjat, University of Calgary, Canada (Co-Chair)

 

In the Innovation Challenge, you will get to use your Curiosity to experiment in small teams with several sensors on a Cypress Embedded Systems board, and then Integrate this knowledge to propose an application using these sensors. You will defend the Value of your application and the Feasibility of implementation.  Each group will present their proposal at the end of the session. Best proposals will win a Cypress board to take home with them.

 

 

 

 

 

 

 


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Other Activities:

Industry Academia Workshop
3:20pm-4:40pm, Thursday, May 11, 2017

Beehive

 

Chair: Laleh Behjat, University of Calgary, Canada

Co-chair: Tina Hudson, Rose-Hulman University, USA

 

In this facilitated workshop, we will bring together industry leaders, experienced faculty and students to discuss industrial issues related to microelectronics education. At the beginning, sponsoring companies will have an opportunity to present their university relations programs and products in an interactive, small-group setting. Each company will have a faculty advocate that uses their programs and/or products. Participants will rotate to different companies through this part of the workshop. In the second half of this workshop, small groups will have a facilitated discussion about the changing role of education in preparing students for the new challenges facing industry. Once the discussions are over, there will be a sharing of the main ideas of each group on the themes. The workshop will close by compiling a set of recommendations and best practices.

 

 

 

Invited Session on Innovation
1:30pm-2:50pm, Friday, May 12, 2017

Beehive

 

Chair: Laleh Behjat, University of Calgary, Canada

Co-chair: Tina Hudson, Rose-Hulman University, USA

 

 

Innovation Exchange
3:20pm-5:30pm, Friday, May 12, 2017

MT Temple A

 

Chair: Tina Hudson, Rose-Hulman University, USA

Co-chair: Laleh Behjat, University of Calgary, Canada

 

In this hands one workshop you will get a chance to practice what you have learned in the previous workshops. Participants will practice innovation while developing an embedded systems application for the innovation challenge and will practice fostering innovation among the groups. The Innovation Exchange will be an Internet of Things embedded systems project. Participants will be placed in small groups to design an application of their choosing that maximizes feasibility and impact using a small subset of on-board sensors on Cypress Semiconductor’s CY8CKIT-042-BLE Pioneer Prototyping kit.

 

 

Banquet Invited Talk

Room: Victoria Ballroom, Thursday, 7pm.

Title: S.T.E.V.E. - The Best Backronym Ever! 

Subtitle: Discovering Auroral Beads and citizen scientists

SPEAKER: Dr. Eric Donovan

Department of Physics and Astronomy, 

University of Calgary

Bio: Eric Donovan is Associate Dean Research and Graduate Education for the University of Calgary Faculty of Science. He is also a space physicist who studies the aurora. Over the past 20 years, he and his team have developed the world's most extensive network of ground-based instruments for remote sensing the aurora and associated phenomena. His data is used, together with measurements from instruments on NASA, Canadian Space Agency, and European Space Agency satellites, to investigate the physical processes at work in the Near-Earth space environment. His discoveries include auroral "beads" that form right before magnetospheric substorms, and, more recently, 'Steve'.  

 

 

This site is maintained by:
GLSVLSI 2017 Webmaster
Theo Theocharides (ttheocharides@ucy.ac.cy), University of Cyprus.