Has Machine Learning for Systems Reached an Inflection Point?

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Don’t stop me now: Embedding based Scheduling for LLMs

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Scheduling ML training jobs in the cloud

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Network Support for Disaggregated Memory Systems

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Dataflow accelerators for general computing

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Revolutionizing Datacenter Networks via Reconfigurable Topologies

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Optimal oblivious reconfigurable networks

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Supervised Distributed Computing

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Algorithmic Techniques for Optimal Collective Communication

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In Link We Trust: BFT at the Speed of CFT using Switches

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