RAMP: resource-aware mapping for CGRAs. - Shail Dave; Mahesh Balasubramanian 001; Aviral Shrivastava (DAC, 2018)

LASER: A hardware/software approach to accelerate complicated loops on CGRAs. - Mahesh Balasubramanian 001; Shail Dave; Aviral Shrivastava; Reiley Jeyapaul (DATE, 2018)

URECA: Unified register file for CGRAs. - Shail Dave; Mahesh Balasubramanian 001; Aviral Shrivastava (DATE, 2018)

dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators. - Shail Dave; Youngbin Kim; Sasikanth Avancha; Kyoungwoo Lee; Aviral Shrivastava (ACM Trans. Embed. Comput. Syst., 2019)

dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. - Shail Dave; Aviral Shrivastava; Youngbin Kim; Sasikanth Avancha; Kyoungwoo Lee (ICASSP, 2020)

Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. - Shail Dave; Riyadh Baghdadi; Tony Nowatzki; Sasikanth Avancha; Aviral Shrivastava; Baoxin Li (Proc. IEEE, 2021)

SPX64: A Scratchpad Memory for General-purpose Microprocessors. - Abhishek Singh; Shail Dave; Pantea Zardoshti; Robert Brotzman; Chao Zhang 039; Xiaochen Guo; Aviral Shrivastava; Gang Tan; Michael F. Spear (ACM Trans. Archit. Code Optim., 2021)

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. - Shail Dave; Alberto Marchisio; Muhammad Abdullah Hanif; Amira Guesmi; Aviral Shrivastava; Ihsen Alouani; Muhammad Shafique 001 (VTS, 2022)

Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. - Shail Dave; Tony Nowatzki; Aviral Shrivastava (ASPLOS (4), 2023)

Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. - 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; et al. (DATE, 2023)

Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs. - Benjamin R. Willis; Aviral Shrivastava; Joshua Mack; Shail Dave; Chaitali Chakrabarti; John S. Brunhaver (IEEE Trans. Computers, 2024)