Performance-driven Programming of Multi-TFLOP Deep Learning Accelerators∗
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2019
- IISWC 2019
Publications
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61 results for Leland Chang
DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2019
- IEEE Micro
BiScaled-DNN: Quantizing long-tailed datastructures with two scale factors for deep neural networks
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2019
- DAC 2019
System Performance: From Enterprise to AI
- Arvind Kumar
- Leland Chang
- et al.
- 2018
- IEDM 2018
A Scalable Multi-TeraOPS Core for AI Training and Inference
- Sunil Shukla
- Bruce Fleischer
- et al.
- 2018
- IEEE SSC-L
Compensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2018
- DAC 2018
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2017
- PACT 2017
Synthesis design strategies for energy-efficient microprocessors
- Ching Zhou
- Yu-Shiang Lin
- et al.
- 2016
- ICCD 2016
A Low Ripple Switched-Capacitor Voltage Regulator Using Flying Capacitance Dithering
- Suyoung Bang
- Jae-Sun Seo
- et al.
- 2016
- IEEE JSSC
A fully-integrated 40-phase flying-capacitance-dithered switched-capacitor voltage regulator with 6mV output ripple
- Suyoung Bang
- Jae-Sun Seo
- et al.
- 2015
- VLSI Circuits 2015