Checkpointing is an I/O intensive operation increasingly used by High-Performance
Computing (HPC) applications to revisit previous intermediate datasets at scale. Unlike the …

LLMs have seen rapid adoption in all domains. They need to be trained on high-end high-
performance computing (HPC) infrastructures and ingest massive amounts of input data …

Serverless computing is a leading force behind deploying and managing software in cloud
computing. One inherent challenge in serverless computing is the increased overall latency …

Accurately predicting the training time of deep learning (DL) workloads is critical for
optimizing the utilization of data centers and allocating the required cluster resources for …

Despite significant advances, training deep learning models remains a time-consuming and
resource-intensive task. One of the key challenges in this context is the ingestion of the …

Abstract High-Performance Computing (HPC) workloads are being widely used to solve
complex problems in scientific applications from diverse domains, such as weather …