Ashish Sirasao

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 17

Top Topics

Benchmark Suite

Inference Engine

Convolutional Neural Networks

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Medical Imaging: Image-Guided Procedures

Publications

Yuchen Yang, Xinyi Wang, Dong Li, Lu Tian, Ashish Sirasao, Xun Yang
Towards Scale-Aware Full Surround Monodepth with Transformers. CoRR (2024)
Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer. CoRR (2024)
Ji Liu, Zifeng Zhang, Mingjie Lu, Hongyang Wei, Dong Li, Yile Xie, Jinzhang Peng, Lu Tian, Ashish Sirasao, Emad Barsoum
Sparse Laneformer. CoRR (2024)
Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer. AAAI (2024)
Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao
FDViT: Improve the Hierarchical Architecture of Vision Transformer. ICCV (2023)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao
Separated RoadTopoFormer. CoRR (2023)
Paolo D'Alberto, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao
xDNN: Inference for Deep Convolutional Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 15 (2) (2022)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao
Neural network pruning for biomedical image segmentation. Medical Imaging: Image-Guided Procedures (2021)
Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao
Neural network pruning and hardware acceleration. UCC (2020)
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
MLPerf Inference Benchmark. ISCA (2020)
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
MLPerf Inference Benchmark. CoRR (2019)
Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi
Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications. ISPD (2018)
Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines. CoRR (2018)
Brian Hill, Jaclyn Smith, Gans Srinivasa, Kemal Sönmez, Ashish Sirasao, Amit Gupta, Madhubanti Mukherjee
Precision medicine and FPGA technology: Challenges and opportunities. MWSCAS (2017)
Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das
Deep learning challenges and solutions with Xilinx FPGAs. ICCAD (2017)
Madhav Y. Chikodikar, Shridhar Laddha, Ashish Sirasao
A Technology Mapper for Xilinx FPGAs. VLSI Design (1997)