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Publications
Our publications provide insight into some of our leading-edge research.
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8 results found
Artificial Intelligence and Machine Learning
Computer Architecture
Clear all
2020
Artificial Intelligence and Machine Learning
Computer Architecture
2020
HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks
Abdulrahman Mahmoud,
Siva Hari
, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag,
Pavlo Molchanov
,
Michael B. Sullivan
, Timothy Tsai,
Steve Keckler
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks
Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh
PyTorchFI: A Runtime Perturbation Tool for DNNs
Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher,
Iuri Frosio
,
Siva Hari
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques
Siva Hari
,
Michael B. Sullivan
, Timothy Tsai,
Steve Keckler
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs
Esha Chouske,
Michael B. Sullivan
,
Mike O'Connor
, Mattan Erez, Jeff Pool,
David Nellans
,
Steve Keckler
An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives
Benjamin Klenk
,
Ted Jiang
, Greg Thorson,
Larry Dennison
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna,
Michael Pellauer
,
Angshuman Parashar
HarDNN: Feature Map Vulnerability Evaluation in CNNs
Abdulrahman Mahmoud,
Siva Hari
, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag,
Pavlo Molchanov
,
Michael B. Sullivan
, Timothy Tsai,
Steve Keckler
