Ashish Sirasao

According to our database, Ashish Sirasao authored at least 13 papers between 1997 and 2024.

Collaborative distances:

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

2024

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer.

Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Separated RoadTopoFormer.

Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao

CoRR, 2023

FDViT: Improve the Hierarchical Architecture of Vision Transformer.

Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

xDNN: Inference for Deep Convolutional Neural Networks.

Paolo D'Alberto, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao

ACM Trans. Reconfigurable Technol. Syst., 2022

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.

Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi

CoRR, 2022

2021

Neural network pruning for biomedical image segmentation.

Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

Neural network pruning and hardware acceleration.

Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

MLPerf Inference Benchmark.

Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2018

Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines.

Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu

CoRR, 2018

Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications.

Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi

Proceedings of the 2018 International Symposium on Physical Design, 2018

2017

Precision medicine and FPGA technology: Challenges and opportunities.

Brian Hill, Jaclyn Smith, Gans Srinivasa, Kemal Sönmez, Ashish Sirasao, Amit Gupta, Madhubanti Mukherjee

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Deep learning challenges and solutions with Xilinx FPGAs.

Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

1997

A Technology Mapper for Xilinx FPGAs.

Madhav Y. Chikodikar, Shridhar Laddha, Ashish Sirasao

Proceedings of the 10th International Conference on VLSI Design (VLSI Design 1997), 1997