Compensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errors
- Shubham Jain
- Swagath Venkataramani
- et al.
- 2018
- DAC 2018
Swagath Venkataramani
Title
Principal Research Scientist, AIU Architecture and Compilers
Publications
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
- GB
- 2590000
- JP
- 7163381
- US
- 11429524
- US
- 11354573
- US
- 11263518
- US
- 11195096
- US
- 11188820
- US
- 11037650
- US
- 11016840
- US
- 10838868
Top collaborators
XC
Xiaodong Cui
Principal Research Scientist
AM
Alberto Mannari
Software Developer
JJ
Jinwook Jung
Research Staff Member
MO
Mori Ohara
Deputy Director, IBM Research Tokyo, Distinguished Engineer, Chief SW Engineer for Hybrid Cloud on IBM HW