Data Management and Sharing Plan for: CIF: MEDIUM: Towards optimal scheduling for parallelizable machine learning training workloads

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Authors: Benjamin Berg
Cited by: 0

Abstract

The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.

Fields of Study & Subjects

Cloud Computing and Resource Management Distributed and Parallel Computing Systems Scientific Computing and Data Management

Publication details

Journal / source
UNC Dataverse
Publication date
13 January 2026
Document type
Dataset