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
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