Shail Dave
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ASPLOS | 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 |
| 2023 | DATE | 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 |
| 2022 | VTS | 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 |
| 2020 | ICASSP | dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. | Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee |
| 2018 | DAC | RAMP: resource-aware mapping for CGRAs. | Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava |
| 2018 | DATE | LASER: A hardware/software approach to accelerate complicated loops on CGRAs. | Mahesh Balasubramanian, Shail Dave, Aviral Shrivastava, Reiley Jeyapaul |
| 2018 | DATE | URECA: Unified register file for CGRAs. | Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava |