Abstract: With the ongoing trend of electrification in transportation, the charging demand from electric vehicles (EVs) is imposing an increasingly significant additional load on the existing power ...
Abstract: In-network aggregation (INA) accelerates gradient aggregation in distributed machine learning (DML) by alleviating communication bottlenecks, but its effectiveness crucially depends on two ...
LightDSA is a user-friendly, asynchronous DSA library featuring low-overhead, run-to-completion optimizations. It is designed to eliminate the negative performance impact of DSA features, enabling DSA ...
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