Recherche sur la désagrégation de la mémoire et mise en pratique avec les tendances matérielles (U. of Michigan)

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

Abstract
“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.”

Trouvez le article technique ici. Publié en mai 2023 (prépublication).

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

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• La source: https://semiengineering.com/memory-disaggregation-research-and-making-it-practical-with-hardware-trends-u-of-michigan/