Fault Tolerance (FT) is one of the cloud's very critical problems for providing security
assistance. Due to the diverse service architecture, detailed architectures & multiple …

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 …

Function-as-a-Service (FaaS) platforms have recently gained rapid popularity. Many stateful
applications have been migrated to FaaS platforms due to their ease of deployment …

Efficient checkpointing of distributed data structures periodically at key moments during
runtime is a recurring fundamental pattern in a large number of uses cases: fault tolerance …

In high‐performance computing and cloud computing the introduction of heterogeneous
computing resources, such as GPU accelerator have led to a dramatic increase in …

While many HPC applications are known to have long runtimes, this is not always because
of single large runs: in many cases, this is due to ensembles composed of many short runs …

Writing large amounts of data concurrently to stable storage is a typical I/O pattern of many
HPC workflows. This pattern introduces high I/O overheads and results in increased storage …

Many geophysical imaging applications, such as full-waveform inversion, often rely on high-
performance computing to meet their demanding computational requirements. The failure of …

High-Performance Computing (HPC) workloads generate large volumes of data at high-
frequency during their execution, which needs to be captured concurrently at scale. These …