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LANL’s Journey Toward Computational Storage

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Given LANL simulations can generate a Petabyte of data per time step with thousands to tens of thousands of time steps, data gravity is a huge concern at the lab. Performing analytics on this data to find and understand interesting features on simulation output is extremely expensive requiring movement of Petabytes of data and a data analytics platform with enough memory, not storage, to hold a full timestep (Petabyte).

Optimizing Content Delivery Networks through Simulations

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Building on Optimizing Complex Hierarchical Memory Systems through Simulation from SDC 2023, this talk details recent work to optimize caching systems used in Content Delivery Networks, or CDNs. CDNs are built out of groups of servers at a variety of locations with various tiers and types of caches. Modern CDN caches present a huge array of variable configurations.

Emulating CXL® with QEMU

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In order to develop open source CXL ecosystem software it has proven useful to emulate CXL features within the QEMU project. In this talk, I will introduce the current major CXL features that QEMU can emulate and walk you through how to set up a Linux + QEMU CXL environment that will enable testing and developing new CXL features. In addition, I will highlight some of the limitations of QEMU CXL emulation.

AI at the Intersection of Storage and Networking: A Perspective from the Chair of SNIA and UEC

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In less than two years, “AI” has gone from a nice technical curiosity to a financial, industrial, and publicity juggernaut. Beyond the hype and the inflated stock prices, though, what does this mean from technical perspective?

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