Scaledeep: A scalable compute architecture for learning and evaluating deep networks
- Swagath Venkataramani
- Ashish Ranjan
- et al.
- 2017
- ISCA 2017
Publications
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
RIC: Relaxed Inclusion Caches for Mitigating LLC Side-Channel Attacks
- Mehmet Kayaalp
- Khaled N. Khasawneh
- et al.
- 2017
- DAC 2017
Template Aware Coverage: Taking Coverage Analysis to the Next Level
- Raviv Gal
- Einat Kermany
- et al.
- 2017
- DAC 2017
Formal Techniques for Effective Co-verification of Hardware/Software Co-designs
- Rajdeep Mukherjee
- Mitra Purandare
- et al.
- 2017
- DAC 2017
BRAVO: Balanced Reliability-Aware Voltage Optimization
- Karthik Swaminathan
- Nandhini Chandramoorthy
- et al.
- 2017
- HPCA 2017
Needle: Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs
- Snehasish Kumar
- Nick Sumner
- et al.
- 2017
- HPCA 2017
PFIS-V: Modeling foraging behavior in the presence of variants
- Sruti Srinivasa Ragavan
- Bhargav Pandya
- et al.
- 2017
- CHI 2017
A new chatbot for customer service on social media
- Anbang Xu
- Zhe Liu
- et al.
- 2017
- CHI 2017
SEER: Auto-generating information extraction rules from user-specified examples
- Maeda F. Hanafi
- Azza Abouzied
- et al.
- 2017
- CHI 2017