A Scalable Multi-TeraOPS Core for AI Training and Inference
- Sunil Shukla
- Bruce Fleischer
- et al.
- 2018
- IEEE SSC-L
Swagath Venkataramani
Title
Principal Research Scientist, AIU Architecture and Compilers
Publications
A Scalable Multi-TeraOPS Deep Learning Processor Core for AI Trainina and Inference
- Bruce Fleischer
- Sunil Shukla
- et al.
- 2018
- VLSI Circuits 2018
DyHard-DNN: Even more DNN acceleration with dynamic hardware reconfiguration
- Mateja Putic
- Alper Buyuktosunoglu
- et al.
- 2018
- DAC 2018
Compensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2018
- DAC 2018
Exploiting approximate computing for deep learning acceleration
- Chia-Yu Chen
- Jungwook Choi
- et al.
- 2018
- DATE 2018
Very low voltage (VLV) design
- Ramon Bertran
- Pradip Bose
- et al.
- 2017
- ICCD 2017
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory Accelerators
- Swagath Venkataramani
- Jungwook Choi
- et al.
- 2017
- PACT 2017
Scaledeep: A scalable compute architecture for learning and evaluating deep networks
- Swagath Venkataramani
- Ashish Ranjan
- et al.
- 2017
- ISCA 2017
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Patents
- US
- 11556450
- US
- 11551054
- JP
- 7190799
- GB
- 2590000
- JP
- 7163381
- US
- 11429524
- US
- 11354573
- US
- 11263518
- US
- 11195096
- US
- 11188820
Top collaborators
AM
Alberto Mannari
Software Developer
XC
Xiaodong Cui
Principal Research Scientist
KE
Kaoutar El Maghraoui
Principal Research Scientist and Manager, AIU Spyre Model Enablement, AI Hardware Center