Janki Bhimani

SMART attributes are the main telemetry for monitoring Solid State Drives (SSDs) and predicting failures in large fleets, but existing methods rely on heavy feature engineering and large supervised pipelines that must be retrained as hardware or workloads change and that compress rich temporal be...

Input data preprocessing is a common bottleneck when concurrently training multimedia machine learning (ML) models in modern systems. To alleviate these bottlenecks and reduce the training time for concurrent jobs, we present Seneca, a data loading system that optimizes cache partitioning and dat...