MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows

Pingakshya Goswami, Masoud Shahshahani, Dinesh Bhatia. MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows. In Stephen Neuendorffer, Lesley Shannon, editors, FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Seaside, CA, USA, February 23-25, 2020. pages 312, ACM, 2020. [doi]

@inproceedings{GoswamiSB20,
  title = {MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows},
  author = {Pingakshya Goswami and Masoud Shahshahani and Dinesh Bhatia},
  year = {2020},
  doi = {10.1145/3373087.3375378},
  url = {https://doi.org/10.1145/3373087.3375378},
  researchr = {https://researchr.org/publication/GoswamiSB20},
  cites = {0},
  citedby = {0},
  pages = {312},
  booktitle = {FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Seaside, CA, USA, February 23-25, 2020},
  editor = {Stephen Neuendorffer and Lesley Shannon},
  publisher = {ACM},
  isbn = {978-1-4503-7099-8},
}