Scaledeep: A scalable compute architecture for learning and evaluating deep networks
- Swagath Venkataramani
- Ashish Ranjan
- et al.
- 2017
- ISCA 2017
Swagath Venkataramani
Overview
Title
Research Staff Member
Location
IBM Research - Yorktown Heights
Yorktown Heights, NY USA
Publications
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Patents
Facilitating Neural Network Efficiency
- 06 Dec 2021
- US
- 11195096
Deep Neural Network Performance Analysis On Shared Memory Accelerator Systems
- 29 Nov 2021
- US
- 11188820
Self-evaluating Array Of Memory
- 14 Jun 2021
- US
- 11037650
Low-overhead Error Prediction And Preemption In Deep Neural Network Using Apriori Network Statistics
- 24 May 2021
- US
- 11016840
Programmable Data Delivery By Load And Store Agents On A Processing Chip Interfacing With On-chip Memory Components And Directing Data To External Memory Components
- 16 Nov 2020
- US
- 10838868
Self-evaluating Array Of Memory
- 30 Mar 2020
- US
- 10607715
Processor And Memory Transparent Convolutional Lowering And Auto Zero Padding For Deep Neural Network Implementations
- 17 Feb 2020
- US
- 10565285
Top collaborators
XC
Xiaodong Cui
Principal Research Staff Member
MO
Mori Ohara
Deputy Director, IBM Research Tokyo, Distinguished Engineer, Chief SW Engineer for Hybrid Cloud on IBM HW
KE
Kaoutar El Maghraoui
Principal Research Scientist, AI Engineering, AI Hardware Center