Publications

Efficient and Scalable Machine Learning for Distributed Edge Intelligence
J. Dass
PhD Committee: Prof. Rabi Mahapatra (Chair), Dr. Xia Hu, Dr. Eun Jung Kim, Dr. Raktim Bhattacharya
[Abstract | Slide | Video]

NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation
S. Zhang, Y. Fu, S. Wu, J. Dass, H. You; Y. Lin
IEEE Micro, 2023
Impact factor: 3.6 in Special Issue on tinyML
[Paper]

Distributed Training of Support Vector Machine on a Multiple-FPGA system
J. Dass, Y. Narawane, R. N. Mahapatra and V. Sarin
IEEE Transactions on Computers (TC), 2020
Impact factor: 3.131 with Acceptance rate: 21% in Special Issue on Machine-Learning Architectures and Accelerators
[Paper]

Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training
J. Dass, V. Sarin and R. N. Mahapatra,
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018
Impact factor: 3.402
[Paper]

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention
J. Dass, S. Wu, H. Shi, C. Li, Z. Ye, Y. Lin
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023
Acceptance rate: 25%
[Paper | Code | Slide]

Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
J. Dass and R. N. Mahapatra
International Conference on Machine Learning (ICML), 2021
Acceptance rate: 21.47%
[Paper+Supplementary | Code | Slide | Poster | Video ]

FPGA-based Distributed Edge Training of SVM
J. Dass, Y. Narawane, R. N. Mahapatra and V. Sarin
ACM/SIGDA International Symposium on Field Programmable Gate Arrays (FPGA), 2019
[Abstract | Slide | Poster]

ConvLight: A Convolutional Accelerator with Memristor Integrated Photonic Computing
D. Dang, J. Dass and R. Mahapatra
IEEE International Conference on High Performance Computing (HiPC), 2017
Acceptance rate: 23%
[Paper | Slide]

Distributed QR Decomposition Framework for Training Support Vector Machines
J. Dass, V. N. S. P. Sakuru, V. Sarin and R. N. Mahapatra
IEEE International Conference on Distributed Computing Systems (ICDCS), 2017
Acceptance rate: 16.9%
[Paper | Slide]

A Relaxed Synchronization Approach for Solving Parallel Quadratic Programming Problems with Guaranteed Convergence
K. Lee, R. Bhattacharya, J. Dass, V. N. S. P. Sakuru and R. N. Mahapatra
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016
Acceptance rate: 23%
[Paper | Slide | Poster]

A density based method for automatic hairstyle discovery and recognition
J. Dass, M. Sharma, E. Hassan and H. Ghosh
National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013
[Paper]