Shail Dave

13 papers A* 1A 3Misc 2Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs.
IEEE Trans. Computers
Benjamin R. Willis, Aviral Shrivastava, Joshua Mack, Shail Dave, Chaitali Chakrabarti, John S. Brunhaver
2023 — conf
Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis.
ASPLOS (4)
Shail Dave, Tony Nowatzki, Aviral Shrivastava
2023 A conf
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level.
DATE
Behnaz Ranjbar, Florian Klemme, Paul R. Genssler, Hussam Amrouch, Jinhyo Jung, Shail Dave, Hwisoo So, Kyongwoo Lee, Aviral Shrivastava, Ji-Yung Lin, Pieter Weckx, Subrat Mishra, Francky Catthoor, Dwaipayan Biswas, Akash Kumar
2022 Misc conf
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems.
VTS
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
2022 J jnl
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems.
CoRR
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
2021 J jnl
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights.
Proc. IEEE
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2021 J jnl
SPX64: A Scratchpad Memory for General-purpose Microprocessors.
ACM Trans. Archit. Code Optim.
Abhishek Singh, Shail Dave, Pantea Zardoshti, Robert Brotzman, Chao Zhang, Xiaochen Guo, Aviral Shrivastava, Gang Tan, Michael F. Spear
2020 J jnl
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights.
CoRR
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
2020 Misc conf
dMazeRunner: Optimizing Convolutions on Dataflow Accelerators.
ICASSP
Shail Dave, Aviral Shrivastava, YoungBin Kim, Sasikanth Avancha, Kyoungwoo Lee
2019 J jnl
dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators.
ACM Trans. Embed. Comput. Syst.
Shail Dave, YoungBin Kim, Sasikanth Avancha, Kyoungwoo Lee, Aviral Shrivastava
2018 A conf
LASER: A hardware/software approach to accelerate complicated loops on CGRAs.
DATE
Mahesh Balasubramanian, Shail Dave, Aviral Shrivastava, Reiley Jeyapaul
2018 A* conf
RAMP: resource-aware mapping for CGRAs.
DAC
Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava
2018 A conf
URECA: Unified register file for CGRAs.
DATE
Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava