A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study

Duncan J. M. Moss, Krishnan Srivatsan, Eriko Nurvitadhi, Piotr Ratuszniak, Chris Johnson, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong. A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. In Jason Helge Anderson, Kia Bazargan, editors, Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2018, Monterey, CA, USA, February 25-27, 2018. pages 107-116, ACM, 2018. [doi]

@inproceedings{MossSNRJSMMSL18,
  title = {A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study},
  author = {Duncan J. M. Moss and Krishnan Srivatsan and Eriko Nurvitadhi and Piotr Ratuszniak and Chris Johnson and Jaewoong Sim and Asit K. Mishra and Debbie Marr and Suchit Subhaschandra and Philip Heng Wai Leong},
  year = {2018},
  doi = {10.1145/3174243.3174258},
  url = {http://doi.acm.org/10.1145/3174243.3174258},
  researchr = {https://researchr.org/publication/MossSNRJSMMSL18},
  cites = {0},
  citedby = {0},
  pages = {107-116},
  booktitle = {Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2018, Monterey, CA, USA, February 25-27, 2018},
  editor = {Jason Helge Anderson and Kia Bazargan},
  publisher = {ACM},
}