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cedar: Composable and Optimized Machine Learning Input Data Pipelines
The input data pipeline is an essential component of each machine learning (ML) training job.
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
RecD addresses immense storage, preprocessing, and training overheads caused by feature duplication inherent in industry-scale DLRM training datasets.
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Innovations that improve the efficiency and performance of DSI systems and hardware are urgent, demanding a deep understanding of DSI characteristics and infrastructure at scale.
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