Swarms of autonomous devices are increasing in ubiquity and size, making the need for
rethinking their hardware-software system stack critical. We present HiveMind, the first …

This work highlights the significance of I/O bottlenecks that data-intensive HPC workflows
face in serverless environments-an issue that has been largely overlooked by prior works …

Serverless functions provide elastic scaling and a fine-grained billing model, making
Function-as-a-Service (FaaS) an attractive programming model. However, for distributed …

Aggregated HPC resources have rigid allocation systems and programming models which
struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to …

Many researchers migrate scientific serverless workflows or function choreographies (FCs)
on Function-as-a-Service (FaaS) to benefit from its high scalability and elasticity …

FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual
machines with dynamically allocated resources. This shift trades locality and statefulness for …

Running HPC in the cloud has gained more and more practice. As a new cloud paradigm,
serverless is highly attractive for HPC service providers due to its distinctive benefits such as …

Swarms of autonomous devices are increasing in ubiquity and size, making the need for
rethinking their hardware-software system stack critical. We present HiveMind, the first …

Serverless computing changes the way we use, operate, and think about cloud computing.
Instead of using conventional Virtual Machines or containers, with Function as a Service …

Supercomputer scheduling policies commonly result in many transient idle nodes, a
phenomenon that is only partially alleviated by backfill scheduling methods that promote …