Accumulation bit-width scaling for ultra-low precision training of deep networks
- Charbel Sakr
- Naigang Wang
- et al.
- 2019
- ICLR 2019
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26 results for Ankur Agrawal
A Scalable Multi-TeraOPS Core for AI Training and Inference
- Sunil Shukla
- Bruce Fleischer
- et al.
- 2018
- IEEE SSC-L
A Scalable Multi-TeraOPS Deep Learning Processor Core for AI Trainina and Inference
- Bruce Fleischer
- Sunil Shukla
- et al.
- 2018
- VLSI Circuits 2018
ADaComP: Adaptive residual gradient compression for data-parallel distributed training
- Chia-Yu Chen
- Jungwook Choi
- et al.
- 2018
- AAAI 2018
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Approximate computing: Challenges and opportunities
- Ankur Agrawal
- Jungwook Choi
- et al.
- 2016
- ICRC 2016
Monolithic silicon photonics at 25 Gb/s
- Jason S. Orcutt
- Douglas M. Gill
- et al.
- 2016
- OFC 2016
A 1.8 pJ/bit 16 × 16Gb/s source-synchronous parallel interface in 32nm SOI CMOS with receiver redundancy for link recalibration
- Timothy O. Dickson
- Yong Liu
- et al.
- 2016
- IEEE JSSC
A 25Gb/s ADC-based serial line receiver in 32nm CMOS SOI
- Sergey V. Rylov
- Troy Beukema
- et al.
- 2016
- ISSCC 2016
A 1.8-pJ/bit 16x16-Gb/s source synchronous parallel interface in 32nm SOI CMOS with receiver redundancy for link recalibration
- Timothy O. Dickson
- Yong Liu
- et al.
- 2015
- CICC 2015