Publications

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

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2019

On the Trend of Resilience for GPU-Dense Systems
Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez
Best of SELSE (Workshop on Silicon Errors in Logic - System Effects)
Translation Ranger: Operating System Support for Contiguity-Aware TLBs
Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee
Adaptive Memory-Side Last-Level GPU Caching
Xia Zhao, Almutaz Adileh, Zhibin Yu, Zhiying Wang, Aamer Jaleel, Lieven Eeckhout
SNAP: A 1.67 – 21.55 TOPS/W Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference in 16nm CMOS
Jie-Fang Zhang, Ching-En Lee, Chester Liu, Yakun Sophia Shao, Steve Keckler, Zhengya Zhang
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler
Security Verification through Automatic Hardware-Aware Exploit Synthesis: The CheckMate Approach.
Caroline Trippel, Daniel Lustig, Margaret Martonosi
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
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
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
DUCATI: High-performance Address Translation by Extending TLB Reach of GPU-accelerated Systems
Aamer Jaleel, Eiman Ebrahimi, Sam Duncan
Understanding the Future of Energy Efficiency in Multi-Module GPUs.
Akhil Arunkumar, Evgeny Bolotin, David Nellans, Carole-Jean Wu

2018

Optimizing Software-Directed Instruction Replication for GPU Error Detection
Abdulrahman Mahmoud, Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler
Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage
Matthias Blumrich, Ted Jiang, Larry Dennison
PipeProof: Automated Memory Consistency Proofs for Microarchitectural Specifications
Yatin A. Manerkar, Daniel Lustig, Margaret Martonosi, Aarti Gupta
IEEE Micro Top Picks in Computer Architecture (Honorable Mention)
Best Paper nominee
SwapCodes: Error Codes for Hardware-Software Cooperative GPU Pipeline Error Detection
Michael B. Sullivan, Siva Hari, Brian Zimmer, Timothy Tsai, Stephen W. Keckler
Harmonizing Speculative and Non-Speculative Execution in Architectures for Ordered Parallelism
Mark C. Jeffrey, Victor A. Ying, Suvinay Subramanian, Hyun Ryong Lee, Joel Emer, Daniel Sanchez
DAWG: A Defense Against Cache Timing Attacks in Speculative Execution Processors
Vladimir Kiriansky, Ilia Lebedev, Saman Amarasinghe, Srinivas Devadas, Joel Emer
CheckMate: Automated Synthesis of Hardware Exploits and Security Litmus Tests
Caroline Trippel, Daniel Lustig, Margaret Martonosi
IEEE Micro Top Picks in Computer Architecture
Combining HW/SW Mechanisms to Improve NUMA Performance of Multi-GPU Systems
Vinson Young, Aamer Jaleel, Evgeny Bolotin, Eiman Ebrahimi, David Nellans, Oreste Villa
Exposing Memory Access Patterns to Improve Instruction and Memory Efficiency in GPUs
Neal Crago, Mark Stephenson, Steve Keckler
Software-Directed Techniques for Improved GPU Register File Utilization
Dani Voitsechov, Arslan Zulfiqar, Mark Stephenson, Mark Gebhart, Steve Keckler
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
Modeling Soft Error Propagation in Programs
Guanpeng Li, Karthik Pattabiraman, Siva Hari, Michael B. Sullivan, Timothy Tsai
A Modular Digital VLSI Flow for High-Productivity SoC Design
Brucek Khailany, Evgeni Krimer, Rangharajan Venkatesan, Jason Clemons, Joel Emer, Matt Fojtik, Alicia Klinefelter, Michael Pellauer, Nathaniel Pinckney, Sophia Shao, Shreesha Srinath, Christopher Torng, Sam (Likun) Xi, Yanqing Zhang, Brian Zimmer
What Your DRAM Power Models Aren’t Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap to Enhance Memory Optimization
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijayumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu