Shail Dave

According to our database, Shail Dave authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

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, January, 2024

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, Francky Catthoor, Dwaipayan Biswas, Akash Kumar

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

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

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

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

Proceedings of the 40th IEEE VLSI Test Symposium, 2022

2021

SPX64: A Scratchpad Memory for General-purpose Microprocessors.

Abhishek Singh, Shail Dave, Pantea Zardoshti, Robert Brotzman, Chao Zhang, Xiaochen Guo, Aviral Shrivastava, Gang Tan, Michael F. Spear

ACM Trans. Archit. Code Optim., 2021

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

2020

dMazeRunner: Optimizing Convolutions on Dataflow Accelerators.

Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators.

Shail Dave, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee, Aviral Shrivastava

ACM Trans. Embed. Comput. Syst., 2019

2018

URECA: Unified register file for CGRAs.

Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

LASER: A hardware/software approach to accelerate complicated loops on CGRAs.

Mahesh Balasubramanian, Shail Dave, Aviral Shrivastava, Reiley Jeyapaul

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

RAMP: resource-aware mapping for CGRAs.

Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava

Proceedings of the 55th Annual Design Automation Conference, 2018