Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit QuantizationAndrea FasoliChia-Yu Chenet al.2022INTERSPEECH 2022
Accelerating DNN Training Through Selective Localized LearningSarada KrithivasanSanchari Senet al.2022Frontiers in Neuroscience
A 7-nm Four-Core Mixed-Precision AI Chip with 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware ThrottlingSae Kyu LeeAnkur Agrawalet al.2021IEEE JSSC
4-bit quantization of LSTM-based speech recognition modelsAndrea FasoliChia-Yu Chenet al.2021INTERSPEECH 2021
Efficacy of Pruning in Ultra-Low Precision DNNsSanchari SenSwagath Venkataramaniet al.2021ISLPED 2021
RaPiD: AI Accelerator for Ultra-Low Precision Training and InferenceSwagath VenkataramaniVijayalakshmi Srinivasanet al.2021ISCA 2021
Efficient Management of Scratch-Pad Memories in Deep Learning AcceleratorsSubhankar PalSwagath Venkataramaniet al.2021ISPASS 2021
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware ThrottlingAnkur AgrawalSaekyu Leeet al.2021ISSCC 2021
Value Similarity Extensions for Approximate Computing in General-Purpose ProcessorsYounghoon KimSwagath Venkataramaniet al.2021DATE 2021
Optimized Hierarchical Scratchpads For Enhanced Artificial Intelligence Accelerator Core Utilization29 Aug 2022US11429524
Low-overhead Error Prediction And Preemption In Deep Neural Network Using Apriori Network Statistics24 May 2021US11016840
Programmable Data Delivery By Load And Store Agents On A Processing Chip Interfacing With On-chip Memory Components And Directing Data To External Memory Components16 Nov 2020US10838868
Processor And Memory Transparent Convolutional Lowering And Auto Zero Padding For Deep Neural Network Implementations17 Feb 2020US10565285
MOMori OharaDeputy Director, IBM Research Tokyo, Distinguished Engineer, Chief SW Engineer for Hybrid Cloud on IBM HW