Compensated-DNN: Energy efficient low-precision deep neural networks by compensating quantization errorsShubham JainSwagath Venkataramaniet al.2018DAC 2018
Exploiting approximate computing for deep learning accelerationChia-Yu ChenJungwook Choiet al.2018DATE 2018
POSTER: Design Space Exploration for Performance Optimization of Deep Neural Networks on Shared Memory AcceleratorsSwagath VenkataramaniJungwook Choiet al.2017PACT 2017
Scaledeep: A scalable compute architecture for learning and evaluating deep networksSwagath VenkataramaniAshish Ranjanet al.2017ISCA 2017
INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: InvitedAnkur AgrawalChia-Yu Chenet al.2017DAC 2017
24 May 2021US11016840Low-overhead Error Prediction And Preemption In Deep Neural Network Using Apriori Network Statistics
16 Nov 2020US10838868Programmable Data Delivery By Load And Store Agents On A Processing Chip Interfacing With On-chip Memory Components And Directing Data To External Memory Components
17 Feb 2020US10565285Processor And Memory Transparent Convolutional Lowering And Auto Zero Padding For Deep Neural Network Implementations
MOMori OharaDeputy Director, IBM Research Tokyo, Distinguished Engineer, Chief SW Engineer for Hybrid Cloud on IBM HW