Animesh Jain

According to our database, Animesh Jain authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse.

Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Nripendra P. Rana, Abdullah M. Baabdullah, Arpan Kumar Kar, Alex Koohang, Samuel Ribeiro-Navarrete, Nina Belei, Janarthanan Balakrishnan, Sriparna Basu, Abhishek Behl, Gareth H. Davies, Vincent Dutot, Rohita Dwivedi, Leighton Evans, Reto Felix, Richard Foster-Fletcher, Mihalis Giannakis, Ashish Gupta, Chris Hinsch, Animesh Jain, Nina Jane Patel, Timothy Jung, Satinder Juneja, Qeis Kamran, Sanjar Mohamed AB, Neeraj Pandey, Savvas Papagiannidis, Ramakrishnan Raman, Philipp A. Rauschnabel, Preeti Tak, Alexandra Taylor, M. Claudia tom Dieck, Giampaolo Viglia, Yichuan Wang, Meiyi Yan

Inf. Syst. Frontiers, October, 2023

Surmounting Challenges in the Design of Low Power Real Time Clock IP for Advanced FinFET Technology Nodes.

Krishnan Sukumar, Santosh Vodnala, Ravindra Ayyagari, Animesh Jain, Thanapandi Ganesan, Rajesh R

Proceedings of the 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems, 2023

μ-TWO: 3× Faster Multi-Model Training with Orchestration and Memory Optimization.

Sanket Purandare, Abdul Wasay, Animesh Jain, Stratos Idreos

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions.

Kaiqi Zhao, Animesh Jain, Ming Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Adaptive Activation-based Structured Pruning.

Kaiqi Zhao, Animesh Jain, Ming Zhao

CoRR, 2022

Iterative Activation-based Structured Pruning.

Kaiqi Zhao, Animesh Jain, Ming Zhao

CoRR, 2022

Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer.

Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Automated Backend-Aware Post-Training Quantization.

Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze

CoRR, 2021

UNIT: Unifying Tensorized Instruction Compilation.

Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach.

Animesh Jain, Shoubhik Bhattacharya, Masahiro Masuda, Vin Sharma, Yida Wang

CoRR, 2020

Optimizing Memory-Access Patterns for Deep Learning Accelerators.

Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang

CoRR, 2020

2018

Addressing Memory Bottlenecks for Emerging Applications.

Animesh Jain

PhD thesis, 2018

Proctor: Detecting and Investigating Interference in Shared Datacenters.

Ram Srivatsa Kannan, Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

Gist: Efficient Data Encoding for Deep Neural Network Training.

Animesh Jain, Amar Phanishayee, Jason Mars, Lingjia Tang, Gennady Pekhimenko

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Architectural support for convolutional neural networks on modern CPUs.

Animesh Jain, Michael A. Laurenzano, Gilles A. Pokam, Jason Mars, Lingjia Tang

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

DeftNN: addressing bottlenecks for DNN execution on GPUs via synapse vector elimination and near-compute data fission.

Parker Hill, Animesh Jain, Mason Hill, Babak Zamirai, Chang-Hong Hsu, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2016

Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting.

Animesh Jain, Michael A. Laurenzano, Lingjia Tang, Jason Mars

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation.

Animesh Jain, Parker Hill, Shih-Chieh Lin, Muneeb Khan, Md. Enamul Haque, Michael A. Laurenzano, Scott A. Mahlke, Lingjia Tang, Jason Mars

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

2014

High-radix on-chip networks with low-radix routers.

Animesh Jain, Ritesh Parikh, Valeria Bertacco

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014