Shail Dave

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Computing Systems

Structured Databases

Special Session

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Benjamin R. Willis, Aviral Shrivastava, Joshua Mack, Shail Dave, Chaitali Chakrabarti, John S. Brunhaver
Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs. IEEE Trans. Computers 73 (1) (2024)
Shail Dave, Tony Nowatzki, Aviral Shrivastava
Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. ASPLOS (4) (2023)
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
Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. DATE (2023)
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR (2022)
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS (2022)
Abhishek Singh, Shail Dave, Pantea Zardoshti, Robert Brotzman, Chao Zhang, Xiaochen Guo, Aviral Shrivastava, Gang Tan, Michael F. Spear
SPX64: A Scratchpad Memory for General-purpose Microprocessors. ACM Trans. Archit. Code Optim. 18 (1) (2021)
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109 (10) (2021)
Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee
dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. ICASSP (2020)
Shail Dave, Riyadh Baghdadi, Tony Nowatzki, Sasikanth Avancha, Aviral Shrivastava, Baoxin Li
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR (2020)
Shail Dave, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee, Aviral Shrivastava
dMazeRunner: Executing Perfectly Nested Loops on Dataflow Accelerators. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava
URECA: Unified register file for CGRAs. DATE (2018)
Shail Dave, Mahesh Balasubramanian, Aviral Shrivastava
RAMP: resource-aware mapping for CGRAs. DAC (2018)
Mahesh Balasubramanian, Shail Dave, Aviral Shrivastava, Reiley Jeyapaul
LASER: A hardware/software approach to accelerate complicated loops on CGRAs. DATE (2018)