A new technical paper titled “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads” was published by researchers at Illinois Institute of Technology.
“In this work, we propose MegaMmap: a software distributed shared memory (DSM) that enlarges effective memory capacity through intelligent tiered DRAM and storage management. MegaMmap provides workload-aware data organization, eviction, and prefetching policies to reduce DRAM consumption while ensuring speedy access to critical data,” states the paper.
Find the technical paper here. November 2024.
L. Logan, A. Kougkas and X. Sun, “MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads,” in 2024 SC24: International Conference for High Performance Computing, Networking, Storage and Analysis SC, Atlanta, GA, United States, 2024, pp. 1725-1742, doi: 10.1109/SC41406.2024.00114.
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