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2 posts tagged with "MegaMmap"

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MegaMmap at One Year: Memory Virtualization for Data-Intensive Computing

· 3 min read
Anthony Kougkas (opens in a new tab)
Co-Founder and Executive Director, Gnosis Research Center

One year ago, Luke Logan presented MegaMmap at SC'24, introducing a software distributed shared memory system that makes datasets larger than available DRAM accessible through familiar programming interfaces. The core problem it addresses has only grown more relevant since.

MegaMmap at SC24: Tiered Distributed Shared Memory for Data-Intensive Computing

· 6 min read
info

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 at SC24

Luke Logan presenting MegaMmap research at SC24