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Profiled DLRM RAMP

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posted on 2022-06-08, 13:39 authored by Alessandro OttinoAlessandro Ottino

Profiled data of DLRM models partitioned using table, column and data parallelism, used to estimate iteration time of large scale DDL workloads on multiple networks. This is used to evaluate the RAMP system with equivalents.

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    Department of Electronic & Electrical Engineering

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    High Performance Computing (HPC)recomendation systemsDistributed Deep LearningElectrical and Electronic Engineering not elsewhere classifiedDistributed Computing

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