INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Conference paper
Publications
Low-synchronization, mostly lock-free, elastic scheduling for streaming runtimes
- Scott Schneider
- Kun-Lung Wu
- 2017
- PLDI 2017
Conference paperBRAVO: Balanced Reliability-Aware Voltage Optimization
- Karthik Swaminathan
- Nandhini Chandramoorthy
- et al.
- 2017
- HPCA 2017
Conference paperNeedle: Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs
- Snehasish Kumar
- Nick Sumner
- et al.
- 2017
- HPCA 2017
Conference paperA structured self-attentive sentence embedding
- Zhouhan Lin
- Minwei Feng
- et al.
- 2017
- ICLR 2017
Conference paperLearning to query, reason, and answer questions on ambiguous texts
- Xiaoxiao Guo
- Tim Klinger
- et al.
- 2017
- ICLR 2017
Conference paperNeurogenesis-inspired dictionary learning: Online model adaption in a changing world
- Sahil Garg
- Irina Rish
- et al.
- 2017
- ICLR 2017
Conference paperEmbracing data abundance
- Ondrej Bajgar
- Rudolf Kadlec
- et al.
- 2017
- ICLR 2017
Conference paperFine-grained analysis of sentence embeddings using auxiliary prediction tasks
- Yossi Adi
- Einat Kermany
- et al.
- 2017
- ICLR 2017
Conference paperA 1.8pJ/b 56Gb/s PAM-4 transmitter with fractionally spaced FFE in 14nm CMOS
- Timothy O. Dickson
- Herschel Ainspan
- et al.
- 2017
- ISSCC 2017
Conference paper