Publications

Our publications provide insight into some of our leading-edge research.

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2019

Voltage-Follower Coupling Quadrature Oscillator with Embedded Phase-Interpolator in 16nm FinFET
Xi Chen, Sanquan Song, John Poulton, Nikola Nedovic, Brian Zimmer, Stephen Tell, Tom Gray
Security Verification through Automatic Hardware-Aware Exploit Synthesis: The CheckMate Approach.
Caroline Trippel, Daniel Lustig, Margaret Martonosi
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde
Nimble Page Management for Tiered Memory Systems
Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee
A Formal Analysis of the NVIDIA PTX Memory Consistency Model.
Daniel Lustig, Sameer Sahasrabuddhe, Olivier Giroux
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Buffets: An Efficient and Composable Storage Idiom for Explicit Decoupled Data Orchestration
Michael Pellauer, Yakun Sophia Shao, Jason Clemons, Neal Crago, Kartik Hegde, Rangharajan Venkatesan, Steve Keckler, Christopher W. Fletcher, Joel Emer
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
Learning Linear Transformations for Fast Image and Video Style Transfer
Xueting Li, Sifei Liu, Ming-Hsuan Yang, Jan Kautz
Towards Analytically Evaluating the Error Resilience of GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai
On the Trend of Resilience for GPU-Dense Systems
Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
Award paper
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis
Sankug Lym, Donghyuk Lee, Niladrish Chatterjee, Mike O'Connor, Mattan Erez
Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model
Yu-Hung Huang, Zhiyao Xie, Guan-Qi Fang, Tao-Chun Yu, Haoxing (Mark) Ren, Shao-Yun Fang, Yiran Chen, Jiang Hu
Manufacturing Application-Driven Foveated Near-Eye Displays
Kaan Akşit, Praneeth Chakravarthula, Kishore Rathinavel, Youngmo Jeong, Rachel Albert, Henry Fuchs, David Luebke
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Steve Keckler, Joel Emer
Ray Tracing Gems
Eric Haines, Tomas Akenine-Möller
Improving Temporal Antialiasing with Adaptive Ray Tracing
Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, Morgan McGuire
Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections
Alexander Reshetov
DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems
Aamer Jaleel, Eiman Ebrahimi, Sam Duncan
Informative Object Annotations: Tell Me Something I Don't Know
Lior Bracha, Gal Chechik
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Yuval Atzmon, Gal Chechik
Rethinking full connectivity in recurrent neural networks
Matthijs Van keirsbilck, Alex Keller, Xiaodong Yang
What is a Ray?
Peter Shirley, Ingo Wald, Tomas Akenine-Möller, Eric Haines
Precision Improvements for Ray/Sphere Intersection
Eric Haines, Johannes Gunther, Tomas Akenine-Möller
Texture Level of Detail Strategies for Real-Time Ray Tracing
Tomas Akenine-Möller, Jim Nilsson, Magnus Andersson, Colin Barré-Brisebois, Robert Toth, Tero Karras
Simple Environment Map Filtering Using Ray Cones and Ray Differentials
Tomas Akenine-Möller, Jim Nilsson
A Fast and Robust Method for Avoiding Self-Intersection
Carsten Wächter, Nikolaus Binder
Efficient Generation of Points that Satisfy Two-Dimensional Elementary Intervals
Matt Pharr
Understanding the Future of Energy Efficiency in Multi-Module GPUs.
Akhil Arunkumar, Evgeny Bolotin, David Nellans, Carole-Jean Wu
Throughput-oriented GPU memory allocation
Isaac Gelado, Michael Garland
Massively Parallel Path Space Filtering
Nikolaus Binder, Sascha Fricke, Alex Keller
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Greg Heinrich, Iuri Frosio
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Cheng-Kuan Chen, Zhu-Feng Pan, Ming-Yu Liu, Min Sun