MEG: A RISCV-Based System Simulation Infrastructure for Exploring Memory Optimization Using FPGAs and Hybrid Memory Cube

Jialiang Zhang, Yang Liu, Gaurav Jain, Yue Zha, Jonathan Ta, Jing Li. MEG: A RISCV-Based System Simulation Infrastructure for Exploring Memory Optimization Using FPGAs and Hybrid Memory Cube. In 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, San Diego, CA, USA, April 28 - May 1, 2019. pages 145-153, IEEE, 2019. [doi]

@inproceedings{ZhangLJZTL19,
  title = {MEG: A RISCV-Based System Simulation Infrastructure for Exploring Memory Optimization Using FPGAs and Hybrid Memory Cube},
  author = {Jialiang Zhang and Yang Liu and Gaurav Jain and Yue Zha and Jonathan Ta and Jing Li},
  year = {2019},
  doi = {10.1109/FCCM.2019.00029},
  url = {https://doi.org/10.1109/FCCM.2019.00029},
  researchr = {https://researchr.org/publication/ZhangLJZTL19},
  cites = {0},
  citedby = {0},
  pages = {145-153},
  booktitle = {27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2019, San Diego, CA, USA, April 28 - May 1, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-1131-5},
}