MegaMmap at SC24: Tiered Distributed Shared Memory for Data-Intensive Computing
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Presented at SC24 International Conference for High Performance Computing, Networking, Storage, and Analysis November 17 to 22, 2024 • Atlanta, Georgia, USA
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Available Now MegaMmap is released as open-source software. Visit the GitHub repository (opens in a new tab)
At SC24, Luke Logan presented MegaMmap, a software-based distributed shared memory (DSM) technology that blurs the boundary between memory and storage. Developed by Luke Logan, Anthony Kougkas, and Xian-He Sun, MegaMmap lets data-intensive applications work with datasets larger than available DRAM through memory tiering, prefetching, and coherence optimization.
Luke Logan presenting MegaMmap research at SC24