DANIEL CARLSON

Allocation Policies Matter for Hybrid Memory Systems

Adnan Maruf, Daniel Carlson, Ashikee Ghosh, Manoj Saha, Janki Bhimani, and Raju Rangaswami. 2023. Allocation Policies Matter for Hybrid Memory Systems. In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC '23), June 16-23, 2023, Orlando, FL, USA. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3588195.3595946

ABSTRACT

Existing tiered memory systems all use DRAM-Preferred as their allocation policy, whereby pages get allocated from higher-performing DRAM until it is filled, after which all future allocations are made from lower-performing persistent memory (PM). The novel insight of this work is that the right page allocation policy for a workload can help to lower the access latencies for the newly allocated pages. We design, implement, and evaluate three page allocation policies within the real system deployment of the state-of-the-art dynamic tiering system. We observe that the right page allocation policy can improve the performance of a tiered memory system by as much as 17x for certain workloads.

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