RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis

Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Seyed Aresh Beheshti Shirazi, Ali Mirzaeian, Xiaojie Guo 0002, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao 0002, Avesta Sasan. RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. In Ioannis Savidis, Avesta Sasan, Himanshu Thapliyal, Ronald F. DeMara, editors, GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6 - 8, 2022. pages 493-500, ACM, 2022. [doi]

@inproceedings{ChowdhuryVLSM0D22,
  title = {RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis},
  author = {Tanmoy Chowdhury and Ashkan Vakil and Banafsheh Saber Latibari and Seyed Aresh Beheshti Shirazi and Ali Mirzaeian and Xiaojie Guo 0002 and Sai Manoj P. D. and Houman Homayoun and Ioannis Savidis and Liang Zhao 0002 and Avesta Sasan},
  year = {2022},
  doi = {10.1145/3526241.3530831},
  url = {https://doi.org/10.1145/3526241.3530831},
  researchr = {https://researchr.org/publication/ChowdhuryVLSM0D22},
  cites = {0},
  citedby = {0},
  pages = {493-500},
  booktitle = {GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6 - 8, 2022},
  editor = {Ioannis Savidis and Avesta Sasan and Himanshu Thapliyal and Ronald F. DeMara},
  publisher = {ACM},
  isbn = {978-1-4503-9322-5},
}