Memory Disaggregation Research And Making It Practical With Hardware Trends (U. of Michigan)


A new technical paper titled “Memory Disaggregation: Advances and Open Challenges” was published by researchers at University of Michigan.

“Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleet-wide resource underutilization and increasing Total Cost of Ownership (TCO). With the advent of ultra-fast networks and cache-coherent interfaces, memory disaggregation has emerged as a potential solution, whereby applications can leverage available memory even outside server boundaries.

This paper summarizes the growing research landscape of memory disaggregation from a software perspective and introduces the challenges toward making it practical under current and future hardware trends. We also reflect on our seven-year journey in the SymbioticLab to build a comprehensive disaggregated memory system over ultra-fast networks. We conclude with some open challenges toward building next-generation memory disaggregation systems leveraging emerging cache-coherent interconnects.”

Find the technical paper here. Published May 2023 (preprint).

Maruf, Hasan Al, and Mosharaf Chowdhury. “Memory Disaggregation: Advances and Open Challenges.” arXiv preprint arXiv:2305.03943 (2023).

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