Pittsburgh, Pennsylvania, USA
May 20-22 201

Organizing Committee
Program Committee
Program Schedule
Travel and Venue
Conference Registration [NEW]
Social Events
Hotel Information
Call for Papers [pdf]
Call for Special Sessions [pdf]
Paper Submission [NEW]
Future Editions
Past Conferences
Contact Us


GLSVLSI 2015, Pittsburgh, PA, USA



Call For Papers









Krishnendu Chakrabarty


Electrical and Computer Engineering

Duke University

Box 90291, 130 Hudson Hall, Durham, NC 27708


Wednesday, May 20th:
Digital Microfluidic Biochips: Towards Functional Diversity, More than Moore, and Cyberphysical Integration

Advances in droplet-based "digital" microfluidics have led to the emergence of biochip devices for automating laboratory procedures in biochemistry and molecular biology. These devices enable the precise control of nanoliter-volume droplets of biochemical samples and reagents. Therefore, integrated circuit (IC) technology can be used to transport and transport "chemical payload" in the form of micro/nanofluidic droplets. As a result, non-traditional biomedical applications and markets (e.g., high-throughout DNA sequencing, portable and point-of-care clinical diagnostics, protein crystallization for drug discovery), and fundamentally new uses are opening up for ICs and systems.
However, continued growth depends on advances in chip integration and design-automation tools. Design automation is needed to ensure that biochips are as versatile as the macro-labs that they are intended to replace, and researchers can thereby envision an automated design flow for biochips, in the same way as design automation revolutionized IC design in the 80s and 90s.

This talk will first provide an overview of market drivers such as immunoassays, DNA sequencing, clinical chemistry, etc., and electrowetting-based digital microfludic biochips. The audience will next learn about design automation, design-for-testability, and reconfiguration aspects of digital microfluidic biochips. Synthesis tools will be described to map assay protocols from the lab bench to a droplet-based microfluidic platform and generate an optimized schedule of bioassay operations, the binding of assay operations to functional units, and the layout and droplet-flow paths for the biochip. The role of the digital microfluidic platform as a "programmable and reconfigurable processor" for biochemical applications will be highlighted. Finally, the speaker will demonstrate dynamic adaptation of bioassays through cyberphysical system integration and sensor-driven on-chip error recovery.


Erik Brunvand


Electrical and Computer Engineering

University of Utah

50 S. Central Campus Dr., Rm MEB 3190

Salt Lake City, Utah 84112

Gala Dinner Keynote:
Computational Thinking Meets Design Thinking:
Technology and Arts Collaborations

Are fine arts and technology compatible partners? Do these disciplines support each other or flinch when they are combined like oil  and water? Do collaborative efforts provide interesting insights and opportunities for students? For practitioners? There seems to be an explosion of interest in exploring arts and technology connections: new media, digital media, kinetic art, new frontiers, emergent media,
interdisciplinary, multidisciplinary, and transdisciplinary are only some of the terms used to describe this fusion of disciplines. A visit to the SIGGRAPH art gallery or the SIGCHI Interactivity sessions, for example, will showcase a wide variety of uses of computing, embedded control, sensors, and actuators in the service of art. Kinetic art using embedded control is a marriage of art and technology. Artistic sensibility and creativity are required for concept and planning, and computer science and engineering skills are required to realize the artistic vision. However, these different skills are often taught in extremely different parts of a university campus.

In this talk I will start with some thoughts on the nature of combining arts and technology, and show some historical and contemporary examples specifically relating to kinetic art. I will then describe an ongoing collaborative course that involves Computer Science and Art students working together to design and create computer-controlled kinetic art. Students in the course explore interfacing of embedded computer systems with sensors and actuators of all sorts. They also explore physical and  conceptual aspects of machine-making as a fine-art sculpture process. Our goal is to enhance the educational experience of both groups of students. We believe that both student groups gain significant and unusual benefits that they can apply in a variety of ways in their respective disciplines.



Zhenqiang (Jack) Ma


University of Wisconsin - Madison

Thursday, May 21st:
Graphene neural sensors for next generation in vivo imaging and optogenetics

Graphene has been studied extensively for their properties in the electrical, mechanical, and optical domains. Graphene's flexible, transparent, and bio-compatible characteristics expand its boundaries from electrical applications to biological applications. Here, we present graphene neural sensors that allow for next generation in vivo imaging and optogenetics for its transparency over a broad wavelength spectrum and ultra-mechanical flexibility. The neural sensors implanted on the brain surface in rodents verify their unique abilities, including see-through in vivo imaging via fluorescence microscopy and 3D optical coherence tomography, and (performance in?) advanced optogenetic experiments. The study is expected to deliver key information regarding the use of graphene in biological environments, specifically the brain. Subsequently, the study will have a strong impact on a wide spectrum of research areas spanning electrical engineering, neural science, and neural engineering.




Andrew Schwartz

University of Pittsburgh
E1440 BSTWR, 200 Lothrop Street
Pittsburgh, PA 15213-2536

Friday, May 22nd:
Recent Advances in Brain-controlled Prosthetics for

Neurons encode many parameters simultaneously, but the encoding fidelity at the level of individual neurons is weak. In contrast, with a better understanding of neural population function we can now decode complex arm and hand movement. We have developed a simple extraction algorithm to capture arm movement data and shown that a paralyzed patient who cannot move any part of her body below her neck can control a high-performance "modular prosthetic limb" using 10 degrees-of-freedom simultaneously. The control of this artificial limb is intuitive, with coordinated, graceful motion, closely resembling natural arm and hand movement.


Technical Program


  Tuesday 5/19/2015
19:00 Welcome Reception -- City Center A
  Wednesday 5/20/2015
  Session A Session B
8:30 Registration / Welcome -- Grand Ballroom Foyer
9:00 Opening & Keynote I -- Grand Ballroom 4, 5, & 6
  Chairs: Alex Jones and Hai (Helen) Li, University of Pittsburgh
      Speaker: Krishnendu Chakrabarty, Duke University
      Digital Microfluidic Biochips: Towards Functional Diversity, More than Moore, and Cyberphysical Integration
10:30 Coffee Break -- Grand Ballroom Foyer
  Reliability, Resiliency, Robustness I -- Grand Ballroom 4 CAD for New Technologies -- Grand Ballroom 5 & 6
Session Chair:  Fabrizio Lombardi, Northeastern University Session Chair: C.Y. Roger Chen, Syracuse University
10:45 7 (L) Nima Aghaee, Zebo Peng and Petru Eles. Efficient Test Application for Rapid Multi-Temperature Testing 26 (L) Tiantao Lu and Ankur Srivastava. Electromigration-aware Clock Tree Synthesis for TSV-based 3D-Ics
11:15 120 (L) Dimitra Papagiannopoulou, Andrea Marongiu, Tali Moreshet, Luca Benini, Maurice Herlihy and Iris Bahar. Playing with Fire: Transactional Memory Revisited for Error-Resilient and Energy-Efficient MPSoC Execution 131 (L) Tiansong Cui, Bowen Chen, Yanzhi Wang, Shahin Nazarian and Massoud Pedram. Layout Characterization and Power Density Analysis for Shorted-Gate and Independent-Gate 7nm FinFET Standard Cells
11:45 27 (S) Fatemeh Tehranipoor, Nima Karimian, Kan Xiao and John Chandy. DRAM based Intrinsic Physical Unclonable Functions for System Level Security 157 (S) Sandeep Miryala, Andrea Calimera, Enrico Macii, Massimo Poncino, Valerio Tenace, Giovanni De Micheli and Pierre-Emmanuel Gaillardon. Exploiting the Expressive Power of Graphene Reconfigurable Gates via Post-Synthesis Optimization
12:00 39 (S) Songwei Pei, Jingdong Zhang, Yu Jin, Song Jin, Jun Liu and Weizhi Xu. An Effective TSV Self-Repair Scheme for 3D-Stacked Ics 12 (S) Marco Donato, Iris Bahar, William Patterson and Alexander Zaslavsky. A Simulation Framework for Analyzing Transient Effects Due to Thermal Noise in Sub-Threshold Circuits
12:15 Lunch -- Marquis Ballroom A & B
  Best Paper Session -- Grand Ballroom 4, 5, & 6
Session Chair: Martin Margala, University of Massachusetts, Lowell
13:30 5 (L) Fabrizio Lombardi, Jie Han, Linbin Chen and Weiqiang Liu. Design of Approximate Unsigned Integer Non-restoring Divider for Inexact Computing
14:00 76 (L) Dimitrios Stamoulis, Dimitrios Rodopoulos, Brett H. Meyer, Dimitrios Soudris, Francky Catthoor and Zeljko Zilic. Efficient Reliability Analysis of Processor Datapath using Atomistic BTI Variability Models
14:30 16 (L) Sai Vineel Reddy Chittamuru, Srinivas Desai and Sudeep Pasricha. A Reconfigurable Silicon-Photonic Network with Improved Channel Sharing for Multicore Architectures
15:00 68 (L) Bonan Yan, Zheng Li, Yaojun Zhang, Jianlei Yang, Weisheng Zhao, Pierre Chor-Fung Chia and Hai Li. A High-Speed Robust NVM-TCAM Design Using Body Bias Feedback
15:30 Coffee Break -- Grand Ballroom Foyer
15:45 Poster Session 1 -- Grand Ballroom Foyer
Session Chair: Tali Moreshet, Boston University
  54   Yukai Chen, Andrea Calimera, Massimo Poncino and Enrico Macii. Characterizing the Activity Factor in NBTI Aging Models for Embedded Cores 6   Bhupendra Singh Reniwal, Vikas Vijayvargiya, Pooran Singh, Santosh Kumar Vishvakarma and Devesh Dwivedi. Dataline Isolated Differential Current Feed/Mode Sense Amplifier for Small Icell SRAM Using FinFET
  63   Yue Ma, Thidapat Chantem, Robert P. Dick and X. Sharon Hu. Improving Lifetime of Multicore Real-Time Systems through Global Utilization Control 140   Ibtissem Seghaier, Mohamed H. Zaki and Sofiene Tahar. Statistically Validating the Impact of Process Variations on Analog and Mixed Signal Designs
  70   Jiaojiao Ou, Bei Yu, Jhih-Rong Gao, Moshe Preil, Azat Latypov and David Z. Pan. Directed Self-Assembly Based Cut Mask Optimization for Unidirectional Design 20   Dilip Vasudevan and Andrew Chien. The Bit-Nibble-Byte MicroEngine (BnB) for Efficient Computing on Short Data
  132   Subhendu Roy, Pavlos M Mattheakis, Peter S Colyer, Laurent Masse-Navette, Pierre-Olivier Ribet and David Z Pan. Skew Bounded Buffer Tree Resynthesis for Clock Power Optimization 45   Bo Yuan and Keshab K Parhi. Reduced-latency LLR-based SC List Decoder for Polar Codes
  2   Fabrizio Lombardi, Wei Wei and Kazuteru Namba. Novel Designs of Embedded Hybrid Cells for High Performance Memory Circuits 136   Monther Abusultan and Sunil Khatri. Delay, Power and Energy Tradeoffs in Deep Voltage-scaled FPGAs
  Energy Efficient Systems -- Grand Ballroom 4 Interconnects and NoCs -- Grand Ballroom 5 & 6
Session Chair: Baris Taskin, Drexel University Session Chair: Miroslav Velev, Aries Design Corporation
16:15 65 (L) Tosiron Adegbija and Ann Gordon-Ross. Phase-based Cache Locking for Embedded Systems 107 (L) Sourav Das, Dongjin Lee, Daehyun Kim and Partha Pande. Small-World Network Enabled Energy Efficient and Robust 3D NoC Architectures
16:45 103 (L) Dharanidhar Dang, Biplab Patra and Rabi Mahapatra. A Multilayered Design Approach for Efficient Hybrid 3D Photonics Network-on-chip 100 (L) Alexandre Briere, Eren Unlu, Julien Denoulet, Andrea Pinna, Bertrand Granado, Francois Pecheux, Yves Louet and Christophe Moy. A Dynamically Reconfigurable RF NoC for Many-Core
17:15 145 (S) Alireza Shafaei Bejestan, Yanzhi Wang, Srikanth Ramadurgam, Yuankun Xue, Paul Bogdan and Massoud Pedram. Analyzing the Dark Silicon Phenomenon in a Many-Core Chip Multi-Processor under Deeply-Scaled Process Technologies      
19:00 Gala Dinner & Keynote -- Marquis Ballroom A & B
  Chair: Alex Jones, University of Pittsburgh
  Erik Brunvand, University of Utah
  Computational Thinking Meets Design Thinking:
Technology and Arts Collaborations
  Thursday 5/21/2015
  Session A Session B
9:00 Keynote II -- Grand Ballroom 4, 5, & 6
Chair:  Alex Jones, University of Pittsburgh
  Zhenqiang Ma, University of Wisconsin, Madison
  Graphene neural sensors for next generation in vivo imaging and optogenetics
10:00 Coffee Break -- Grand Ballroom Foyer
  Reliability, Resiliency, Robustness II -- Grand Ballroom 4 VLSI Design -- Grand Ballroom 5 & 6
Session Chair: Sorin Cotofana, Delft University of Technology Session Chair: Emre Salman, Stony Brook University
10:30 154 (L) Amir Yazdanbakhash, David Palframan, Azadeh Davoodi, Nam Sung Kim and Mikko Lipasti. Online and Operand-Aware Detection of Failures Utilizing False Alarm Vectors 1 (L) Anirban Sengupta and Saumya Bhadauria. Untrusted Third Party Digital IP cores: Power-Delay Trade-off Driven Exploration of Hardware Trojan Secured Datapath during High Level Synthesis
11:00 93 (L) Mehdi Sadi, Xiaoxiao Wang, Leroy Winemberg and Mark Tehranipoor. Speed Binning using Machine Learning and On-chip Slack Sensors 11 (L) Samira Ataei and James E. Stine. Multi Replica Bitline Delay Technique for Variation Tolerant Timing of SRAM Sense Amplifiers
11:30 124 (S) Michail Mavropoulos, Georgios Keramidas, Grigorios Adamopoulos and Dimitris Nikolos. Reconfigurable - Self Adaptive Fault Tolerant Cache Memory for DVS enabled Systems 112 (S) Donald Kline, Kai Wang, Rami Melhem and Alex Jones. MSCS: Multi-hop Segmented Circuit Switching
11:45 Lunch -- Marquis Ballroom A & B
  Special Session 1 -- Grand Ballroom 4 Special Session 2 -- Grand Ballroom 5 & 6
  Neuromorphic Computing based on Resistive Devices Advances in Neuromorphic Architectures and Future Applications
  Session Chair: Natasa Miskov-Zivanov, Carnegie Mellon University Session Chair: Cyrille Chavet, Université de Bretagne-Sud
13:00     EDA Challenges for Memristor-Crossbar based Neuro-morphic Computing     Origami: A Convolutional Network Accelerator
13:25     Energy Efficient RRAM Spiking Neural Network for Real Time Classification     Restricted Clustered Neural Network for Storing Real Data
13:50     On-chip Sparse Learning with Resistive Cross-point Array Architecture     NeuroDSP Accelerator for Face Detection Application 
14:15 Coffee Break -- Grand Ballroom Foyer
14:30 Poster Session 2 -- Grand Ballroom Foyer
Session Chair: Matthias Fuegger, Max Planck Institute
  35   Yong Li, Haifeng Xu, Rami Melhem and Alex Jones. Space Oblivious Compression: Power Reduction for Non-Volatile Main Memories 60   Seyyed Hasan Mozafari, Kevin Skadron and Brett H. Meyer. Yield-aware Performance-Cost Characterization for Multi-Core SIMT
  53   Poovaiah Palangappa and Kartik Mohanram. Flip-Mirror-Rotate: An Architecture for Bit-write Reduction and Wear Leveling in Non-volatile Memories 137   Luke Murray and Sunil Khatri. An Efficient Approach to Sample On-Chip Power Supplies
  13   Joonho Kong, Arslan Munir and Farinaz Koushanfar. Fine-Grained Voltage Boosting for Improving Yield in Near-Threshold Many-Core Processors 83   Thomas Marconi and Sorin Cotofana. Dynamic Bitstream Length Scaling Energy Effective Stochastic LDPC Decoding
  52   Georgios Zervakis, Kostas Tsoumanis, Sotirios Xydis, Nicholas Axelos and Kiamal Pekmestzi. Approximate Multiplier Architectures Through Partial Product Perforation: Power-Area Tradeoffs Analysis 116   Matthew Kennedy, Brian Neel and Avinash Kodi. Runtime Power Reduction Techniques in On-Chip Photonic Interconnects
  74   Rosario Distefano, Nicola Bombieri, Carlo Laudanna, Franco Fummi and Rosalba Giugno. A SystemC Platform for Signal Transduction Modelling and Simulation in Systems Biology      
  Emerging Technologies -- Grand Ballroom 4 CAD and Circuits I -- Grand Ballroom 5 & 6
Session Chair: Yiran Chen, University of Pittsburgh Session Chair: Jie Han, University of Alberta
15:30 159 (L) Roberto Giorgio Rizzo, Sandeep Miryala, Andrea Calimera, Enrico Macii and Massimo Poncino. Design and Characterization of Analog-to-Digital Converters using Graphene PN-Junctions 127 (L) Weicheng Liu, Emre Salman, Can Sitik and Baris Taskin. Clock Skew Scheduling in the Presence of Heavily Gated Clock Networks
16:00 4 (L) Fabrizio Lombardi, Pilin Junsangsri and Jie Han. A Ternary Content Addressable Cell using a single Phase Change Memory (PCM) 105 (L) Wei Ye, Bei Yu, Yong-Chan Ban, Lars Liebmann and David Z. Pan. Standard Cell Layout Regularity and Pin Access Optimization Considering Middle-of-Line
16:30 55 (S) K M Mohsin and Ashok Srivastava. Characterization of SWCNT Bundle Based VLSI Interconnect with Self-heating Induced Scatterings 43 (S) Hafiz Ul Asad and Kevin D. Jones. Inevitability of Phase-locking in a Charge Pump Phase Lock Loop using Deductive Verification
16:45 113 (S) Yandan Wang, Wei Wen, Miao Hu and Hai Li. A Novel True Random Number Generator Design Leveraging Emerging Memristor Technology 142 (S) Mallika Rathore, Weicheng Liu, Emre Salman, Can Sitik and Baris Taskin. A Novel Static D Flip-Flop Topology for Low Swing Clocking
17:00 118 (S) Qiuwen Lou, Indranil Palit, Andras Horvath, X. Sharon Hu, Michael Niemier and Joseph Nahas. TFET-based Operational Transconductance Amplifier Design for CNN Systems 57 (S) Yaoqiang Li, Pierce I-Jen Chuang, Andrew Kennings and Manoj Sachdev. Voltage-Boosted Synchronizers
  Friday 5/22/2015
8:45 Keynote III -- Grand Ballroom 4, 5 & 6
  Chair: Martin Margala, University of Massachusetts, Lowell
    Andrew Schwartz, University of Pittsburgh
      Recent Advances in Brain-controlled Prosthetics for Paralysis
9:45 Coffee Break -- Grand Ballroom Foyer
  Special Session 3 -- Grand Ballroom 4 Special Session 4 -- Grand Ballroom 5 & 6
  Bio Design Automation Emerging Computing Paradigm for Error-Tolerant Applications: Approximate Computing and Stochastic Computing
Session Chair: Yu Wang ,Tsinghua University Session Chair: Yiran Chen, University of Pittsburgh
10:00     Formal Analysis Provides Parameters for Guiding Hyperoxidation in Bacteria Using Phototoxic Proteins     On the Functions Realized by Stochastic Computing Circuits
      Design Automation for Biological Models: A Pipeline that Incorporates Spatial and Molecular Complexity     ApproxMA: Approximate Memory Access for Dynamic Precision Scaling
10:45     Mammalian Synthetic Gene Circuits     A Comparative Review and Evaluation of Approximate Adders
      Automation of Biological Model Learning, Design and Analysis     Minimizing Error of Stochastic Computation through Linear Transformation
11:30 Coffee Break -- Grand Ballroom Foyer
Session A Session B
  CAD and Circuits II Power and Temperature-Aware Design
Session Chair:Miroslav Velev, Aries Design Automation, U.S.A. Session Chair: Bei Yu, University of Texas at Austin
11:45 94 (L) Robert Najvirt, Matthias Függer, Thomas Nowak, Ulrich Schmid, Michael Hofbauer and Kurt Schweiger. Experimental Validation of a Faithful Binary Circuit Model 175 (S) Ali Akbari, Hamid Noori, Saadat Pour Mozafari and Farhad Mehdipour. Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload
12:00       69 (S) Shiting Lu, Wayne Burleson and Russell Tessier. Reinforcement learning for thermal-aware many-core task allocation
12:15 133 (L) Jiani Xie and C.Y.Roger Chen. Lookup Table Based Discrete Gate Sizing for Delay Minimization with Modified Elmore Delay Model 110 (S) Katayoun Neshatpour, Amin Khajeh Djahromi, Wayne Burleson and Houman Homayoun. Revisiting Dynamic Thermal Management Exploiting Inverse Thermal Dependence
12:30       32 (S) Mohammad Hossein Hajkazemi, Michael Chorney, Reyhaneh Jabbarvand Behrouz, Mohammad Khavari Tavana and Houman Homayoun. Adaptive Bandwidth Management for Performance-Temperature Trade-offs in Heterogeneous HMC+DDRx Memory
12:45 51 (S) Mineo Kaneko. A Novel Framework for Temperature Dependence Aware Clock Skew Scheduling 171 (S) Avijit Chakraborty and D. M. H. Walker. Optimizing VMIN of ROM Arrays Without Loss of Noise Margin
13:00 Closing Session -- Grand Ballroom 4, 5 & 6
  Chairs: Alex Jones, Hai (Helen) Li, University of Pittsburgh
  (Lunch boxes to be provided)


This site is maintained by:
GLSVLSI 2015 Webmaster
Theo Theocharides (, University of Cyprus.