H2M: Towards Heuristics for Heterogeneous Memory
Clément Foyer, Brice Goglin, Emmanuel Jeannot, Jannis Klinkenberg, Anara Kozhokanova, Christian Terboven · 2022
For the past years, scientific applications and simulations show increasing demand for both memory speed and capacity. The performance gap between compute units and the memory subsystem continues to spread which led to redesigns and the emergence of new technologies. Recent architectures already comprise, next to classical DRAM, portions of High Bandwidth Memory (HBM) that has less capacity than DRAM and is solving only one of the requirements. The newly introduced Non- Volatile Memory (NVM) shows performance closer to DRAM, while providing terabytes of capacity, consuming less power and having a better price per byte ratio.