A 19Gb/s serial link receiver with both 4-tap FFE and 5-tap DFE functions in 45nm SOI CMOS
- Ankur Agrawal
- John Bulzacchelli
- et al.
- 2012
- ISSCC 2012
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24 results for Ankur Agrawal
A 7-nm Four-Core Mixed-Precision AI Chip with 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling
- Sae Kyu Lee
- Ankur Agrawal
- et al.
- 2021
- IEEE JSSC
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 1.4 pJ/bit, Power-Scalable 16×12 Gb/s Source-Synchronous I/O With DFE Receiver in 32 nm SOI CMOS Technology
- Timothy O. Dickson
- Yong Liu
- et al.
- 2015
- IEEE JSSC
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference
- Jinwook Oh
- Sae Kyu Lee
- et al.
- 2020
- VLSI Circuits 2020
DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference
- Ankur Agrawal
- Bruce Fleischer
- et al.
- 2019
- ARITH 2019
A Scalable Multi-TeraOPS Deep Learning Processor Core for AI Trainina and Inference
- Bruce Fleischer
- Sunil Shukla
- et al.
- 2018
- VLSI Circuits 2018
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 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