Publications

Scaledeep: A scalable compute architecture for learning and evaluating deep networks
- - Swagath Venkataramani
  - Ashish Ranjan
  - et al.
- 2017
- ISCA 2017
Conference paper
Formal Techniques for Effective Co-verification of Hardware/Software Co-designs
- - Rajdeep Mukherjee
  - Mitra Purandare
  - et al.
- 2017
- DAC 2017
Conference paper
Template Aware Coverage: Taking Coverage Analysis to the Next Level
- - Raviv Gal
  - Einat Kermany
  - et al.
- 2017
- DAC 2017
Conference paper
RIC: Relaxed Inclusion Caches for Mitigating LLC Side-Channel Attacks
- - Mehmet Kayaalp
  - Khaled N. Khasawneh
  - et al.
- 2017
- DAC 2017
Conference paper
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- - Ankur Agrawal
  - Chia-Yu Chen
  - et al.
- 2017
- DAC 2017
Conference paper
Low-synchronization, mostly lock-free, elastic scheduling for streaming runtimes
- - Scott Schneider
  - Kun-Lung Wu
- 2017
- PLDI 2017
Conference paper
BRAVO: Balanced Reliability-Aware Voltage Optimization
- - Karthik Swaminathan
  - Nandhini Chandramoorthy
  - et al.
- 2017
- HPCA 2017
Conference paper
Needle: Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs
- - Snehasish Kumar
  - Nick Sumner
  - et al.
- 2017
- HPCA 2017
Conference paper
A structured self-attentive sentence embedding
- - Zhouhan Lin
  - Minwei Feng
  - et al.
- 2017
- ICLR 2017
Conference paper
Learning to query, reason, and answer questions on ambiguous texts
- - Xiaoxiao Guo
  - Tim Klinger
  - et al.
- 2017
- ICLR 2017
Conference paper