Ashish Sirasao

34 papers A* 6A 1B 1Misc 2Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference.
EACL (Industry Track)
Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye
2026 J jnl
SDFP: Speculative Decoding with FIT-Pruned Models for Training-Free and Plug-and-Play LLM Acceleration.
CoRR
Hanyu Wei, Zunhai Su, Peng Lu, Chao Li, Spandan Tiwari, Ashish Sirasao, Yuhan Dong
2025 J jnl
Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates.
CoRR
Yixing Xu, Chao Li, Xuanwu Yin, Spandan Tiwari, Dong Li, Ashish Sirasao, Emad Barsoum
2025 B conf
Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.
COLING
Guanchen Li, Xiandong Zhao, Lian Liu, Zeping Li, Yixing Xu, Dong Li, Lu Tian, Jie He, Ashish Sirasao, Emad Barsoum
2025 J jnl
Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems.
CoRR
Rachid Karami, Rajeev Patwari, Hyoukjun Kwon, Ashish Sirasao
2025 J jnl
Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling.
CoRR
Rajeev Patwari, Ashish Sirasao, Devleena Das
2025 J jnl
KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference.
CoRR
Sai Gokhale, Devleena Das, Rajeev Patwari, Ashish Sirasao, Elliott Delaye
2025 — conf
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation.
EMNLP (Industry Track)
Devleena Das, Rajeev Patwari, Ashish Sirasao
2025 J jnl
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation.
CoRR
Devleena Das, Rajeev Patwari, Ashish Sirasao
2024 J jnl
AMD XDNA NPU in Ryzen AI Processors.
IEEE Micro
Alejandro Rico, Satyaprakash Pareek, Javier Cabezas, David Clarke, Baris Özgül, Francisco Barat, Yao Fu, Stephan Münz, Dylan Stuart, Patrick Schlangen, Pedro Duarte, Sneha Date, Indrani Paul, Jian Weng, Sonal Santan, Vinod Kathail, Ashish Sirasao, Juanjo Noguera
2024 A* conf
Customizing Text-to-Image Generation with Inverted Interaction.
ACM Multimedia
Mengmeng Ge, Xu Jia, Takashi Isobe, Xiaomin Li, Qinghe Wang, Jing Mu, Dong Zhou, Li Wang, Huchuan Lu, Lu Tian, Ashish Sirasao, Emad Barsoum
2024 A* conf
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization.
NeurIPS
Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, Emad Barsoum
2024 J jnl
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization.
CoRR
Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Jun-Hai Yong, Bin Wang, Emad Barsoum
2024 J jnl
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism.
CoRR
Guanchen Li, Xiandong Zhao, Lian Liu, Zeping Li, Dong Li, Lu Tian, Jie He, Ashish Sirasao, Emad Barsoum
2024 A* conf
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module.
ICML
Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum
2024 J jnl
Parallelization Strategies for DLRM Embedding Bag Operator on AMD CPUs.
IEEE Micro
Krishnakumar Nair, Avinash-Chandra Pandey, Siddappa Karabannavar, Meena Arunachalam, John Kalamatianos, Varun Agrawal, Saurabh Gupta, Ashish Sirasao, Elliott Delaye, Steven K. Reinhardt, Rajesh Vivekanandham, Ralph Wittig, Vinod Kathail, Padmini Gopalakrishnan, Satyaprakash Pareek, Rishabh Jain, Mahmut Taylan Kandemir, Jun-Liang Lin, Gulsum Gudukbay Akbulut, Chita R. Das
2024 J jnl
Sparse Laneformer.
CoRR
Ji Liu, Zifeng Zhang, Mingjie Lu, Hongyang Wei, Dong Li, Yile Xie, Jinzhang Peng, Lu Tian, Ashish Sirasao, Emad Barsoum
2024 J jnl
Towards Scale-Aware Full Surround Monodepth with Transformers.
CoRR
Yuchen Yang, Xinyi Wang, Dong Li, Lu Tian, Ashish Sirasao, Xun Yang
2024 A* conf
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer.
AAAI
Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao
2024 J jnl
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer.
CoRR
Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao
2023 A* conf
FDViT: Improve the Hierarchical Architecture of Vision Transformer.
ICCV
Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao
2023 J jnl
Separated RoadTopoFormer.
CoRR
Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao
2023 — conf
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
MLSys
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
2022 J jnl
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
CoRR
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
2022 J jnl
xDNN: Inference for Deep Convolutional Neural Networks.
ACM Trans. Reconfigurable Technol. Syst.
Paolo D'Alberto, Victor Wu, Aaron Ng, Rahul Nimaiyar, Elliott Delaye, Ashish Sirasao
2021 — conf
Neural network pruning for biomedical image segmentation.
Image-Guided Procedures
Taehee Jeong, Manasa Bollavaram, Elliott Delaye, Ashish Sirasao
2020 A* conf
MLPerf Inference Benchmark.
ISCA
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
2020 Misc conf
Neural network pruning and hardware acceleration.
UCC
Taehee Jeong, Ehsam Ghasemi, Jorn Tuyls, Elliott Delaye, Ashish Sirasao
2019 J jnl
MLPerf Inference Benchmark.
CoRR
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
2018 — conf
Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications.
ISPD
Elliott Delaye, Ashish Sirasao, Ehsan Ghasemi
2018 J jnl
Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines.
CoRR
Sean O. Settle, Manasa Bollavaram, Paolo D'Alberto, Elliott Delaye, Oscar Fernandez, Nicholas Fraser, Aaron Ng, Ashish Sirasao, Michael Wu
2017 A conf
Deep learning challenges and solutions with Xilinx FPGAs.
ICCAD
Elliott Delaye, Ashish Sirasao, Chaithanya Dudha, Sabya Das
2017 — conf
Precision medicine and FPGA technology: Challenges and opportunities.
MWSCAS
Brian Hill, Jaclyn Smith, Gans Srinivasa, Kemal Sönmez, Ashish Sirasao, Amit Gupta, Madhubanti Mukherjee
1997 Misc conf
A Technology Mapper for Xilinx FPGAs.
VLSI Design
Madhav Y. Chikodikar, Shridhar Laddha, Ashish Sirasao