Dheevatsa Mudigere
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On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
NS Keskar, D Mudigere, J Nocedal, M Smelyanskiy, PTP Tang
International Conference on Learning Representations (ICLR), 2017, 2016
Vector evaluated particle swarm optimization (VEPSO) for multi-objective design optimization of composite structures
SN Omkar, D Mudigere, GN Naik, S Gopalakrishnan
Computers & structures 86 (1-2), 1-14, 2008
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
D Das, S Avancha, D Mudigere, K Vaidynathan, S Sridharan, D Kalamkar, ...
arXiv preprint arXiv:1602.06709, 2016
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
D Das, N Mellempudi, D Mudigere, D Kalamkar, S Avancha, K Banerjee, ...
International Conference on Learning Representations (ICLR), 2018, 2018
Ternary Neural Networks with Fine-Grained Quantization
N Mellempudi, A Kundu, D Mudigere, D Das, B Kaul, P Dubey
arXiv preprint arXiv:1705.01462, 2017
Crop classifieation using bj010 eally—inspired techniques with hi resolution satelliteimage
Journal oftheIndian SocietyofRemote Sensing, 2OO8 36 (2), 175-182, 2008
Deep Learning Recommendation Model for Personalization and Recommendation Systems
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
arXiv preprint arXiv:1906.00091, 2019
A Progressive Batching L-BFGS Method for Machine Learning
R Bollapragada, D Mudigere, J Nocedal, HJM Shi, PTP Tang
arXiv preprint arXiv:1802.05374, 2018
A Study of BFLOAT16 for Deep Learning Training
D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ...
arXiv preprint arXiv:1905.12322, 2019
The architectural implications of Facebook's DNN-based personalized recommendation
U Gupta, CJ Wu, X Wang, M Naumov, B Reagen, D Brooks, B Cottel, ...
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
Performance optimizations for scalable implicit RANS calculations with SU2
TD Economon, D Mudigere, G Bansal, A Heinecke, F Palacios, J Park, ...
Computers & Fluids 129, 146-158, 2016
Urban satellite image classification using biologically inspired techniques
SN Omkar, MM Kumar, D Mudigere, D Muley
2007 IEEE International Symposium on Industrial Electronics, 1767-1772, 2007
MPI-based parallel synchronous vector evaluated particle swarm optimization for multi-objective design optimization of composite structures
SN Omkar, A Venkatesh, M Mudigere
Engineering Applications of Artificial Intelligence 25 (8), 1611-1627, 2012
Towards High-Performance Optimizations of the Unstructured Open-Source SU2 Suite
TD Economon, F Palacios, JJ Alonso, G Bansal, D Mudigere, ...
AIAA Paper 1949, 2015
High-performance algebraic multigrid solver optimized for multi-core based distributed parallel systems
J Park, M Smelyanskiy, UM Yang, D Mudigere, P Dubey
Proceedings of the International Conference for High Performance Computing …, 2015
Nature inspired optimization techniques for the design optimization of laminated composite structures using failure criteria
GN Naik, SN Omkar, D Mudigere, S Gopalakrishnan
Expert systems with applications 38 (3), 2489-2499, 2011
On Scale-out Deep Learning Training for Cloud and HPC
S Sridharan, K Vaidyanathan, D Kalamkar, D Das, ME Smorkalov, ...
SysML, 2018, 2018
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
N Mellempudi, A Kundu, D Das, D Mudigere, B Kaul
arXiv preprint arXiv:1701.08978, 2017
Exploring Shared-memory Optimizations for an Unstructured Mesh CFD Application on Modern Parallel Systems
D Mudigere, S Sridharan, A Deshpande, J Park, A Heinecke, ...
International Parallel and Distributed Processing Symposium 29 (DOI 10.1109 …, 2015
On large-batch training for deep learning: Generalization gap and sharp minima. arXiv 2016
NS Keskar, D Mudigere, J Nocedal, M Smelyanskiy, PTP Tang
arXiv preprint arXiv:1609.04836, 0
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