Dheevatsa Mudigere
TitleCited byYear
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
Crop classifieation using bj010 eally—inspired techniques with hi resolution satelliteimage
Journal oftheIndian SocietyofRemote Sensing, 2OO8 36 (2), 175-182, 2008
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
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
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
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
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
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
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
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
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
Fast gpgpu data rearrangement kernels using cuda
M Bader, HJ Bungartz, D Mudigere, S Narasimhan, B Narayanan
International Conference on High Performance Computing (HiPC), 2009, 2010
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 c, 2015
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 c, 2015
Postural assessment of arbitrarily taken portrait and profile photographs using ImageJ
SN Omkar, MM Kumar, D Mudigere
Journal of Bodywork and Movement Therapies 11 (3), 231-237, 2007
On Scale-out Deep Learning Training for Cloud and HPC
S Sridharan, K Vaidyanathan, D Kalamkar, D Das, ME Smorkalov, ...
SysML, 2018, 2018
Ternary Residual Networks
A Kundu, K Banerjee, N Mellempudi, D Mudigere, D Das, B Kaul, ...
SysML, 2018, 2017
Large Scale Distributed Hessian-Free Optimization for Deep Neural Network
X He, D Mudigere, M Smelyanskiy, M Takáč
arXiv preprint arXiv:1606.00511, 2016, 2016
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Articles 1–20