Abhisek Kundu

According to our database, Abhisek Kundu authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures.

Evangelos Georganas, Dhiraj D. Kalamkar, Kirill Voronin, Abhisek Kundu, Antonio Noack, Hans Pabst, Alexander Breuer, Alexander Heinecke

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

AUTOSPARSE: Towards Automated Sparse Training of Deep Neural Networks.

Abhisek Kundu, Naveen K. Mellempudi, Dharma Teja Vooturi, Bharat Kaul, Pradeep Dubey

CoRR, 2023

2022

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning and HPC Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Deepti Aggarwal, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Brian Retford, Barukh Ziv, Alexander Heinecke

Frontiers Appl. Math. Stat., 2022

2021

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Narendra Chaudhary, Abhisek Kundu, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

CoRR, 2021

Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads.

Evangelos Georganas, Dhiraj D. Kalamkar, Sasikanth Avancha, Menachem Adelman, Cristina Anderson, Alexander Breuer, Jeremy Bruestle, Narendra Chaudhary, Abhisek Kundu, Denise Kutnick, Frank Laub, Md. Vasimuddin, Sanchit Misra, Ramanarayan Mohanty, Hans Pabst, Barukh Ziv, Alexander Heinecke

Proceedings of the International Conference for High Performance Computing, 2021

2019

K-TanH: Hardware Efficient Activations For Deep Learning.

Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj D. Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey

CoRR, 2019

A Study of BFLOAT16 for Deep Learning Training.

Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey

CoRR, 2019

2017

A Randomized Rounding Algorithm for Sparse PCA.

Kimon Fountoulakis, Abhisek Kundu, Eugenia-Maria Kontopoulou, Petros Drineas

ACM Trans. Knowl. Discov. Data, 2017

Recovering PCA and Sparse PCA via Hybrid-(l1, l2) Sparse Sampling of Data Elements.

Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail

J. Mach. Learn. Res., 2017

Relaxed leverage sampling for low-rank matrix completion.

Abhisek Kundu

Inf. Process. Lett., 2017

Ternary Neural Networks with Fine-Grained Quantization.

Naveen Mellempudi, Abhisek Kundu, Dheevatsa Mudigere, Dipankar Das, Bharat Kaul, Pradeep Dubey

CoRR, 2017

Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point.

Naveen Mellempudi, Abhisek Kundu, Dipankar Das, Dheevatsa Mudigere, Bharat Kaul

CoRR, 2017

Ternary Residual Networks.

Abhisek Kundu, Kunal Banerjee, Naveen Mellempudi, Dheevatsa Mudigere, Dipankar Das, Bharat Kaul, Pradeep Dubey

CoRR, 2017

2015

Element-wise matrix sparsification and reconstruction.

Abhisek Kundu

PhD thesis, 2015

Recovering PCA from Hybrid-(ℓ₁, ℓ₂) Sparse Sampling of Data Elements.

Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail

CoRR, 2015

A Randomized Rounding Algorithm for Sparse PCA.

Petros Drineas, Kimon Fountoulakis, Abhisek Kundu

CoRR, 2015

Approximating Sparse PCA from Incomplete Data.

Abhisek Kundu, Petros Drineas, Malik Magdon-Ismail

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

A Note on Randomized Element-wise Matrix Sparsification.

Abhisek Kundu, Petros Drineas

CoRR, 2014

2010

Multi-dimensional discovery of biomarker and phenotype complexes.

Philip R. O. Payne, Kun Huang, Kristin Keen-Circle, Abhisek Kundu, Jie Zhang, Tara Borlawsky

BMC Bioinform., 2010

2009

Clinical Attribute Network for Chronic Lymphocytic Leukemia.

Abhisek Kundu, Hatice Gulcin Ozer, Tara Borlawsky, Kristin C. Circle, Kun Huang, Philip R. O. Payne

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009