2 citations · 2 across the 3 of their papers we have counts for
3 papers
CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
Radostin Stoyanov, Viktória Spišaková, Jesus Ramos +5
Deep learning training at scale is resource-intensive and time-consuming, often running across hundreds or thousands of GPUs for weeks or months. Efficient checkpointing is crucial…
Imaginary Machines: A Serverless Model for Cloud Applications
Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic +1
Serverless Function-as-a-Service (FaaS) platforms provide applications with resources that are highly elastic, quick to instantiate, accounted at fine granularity, and without the…
Boxer: FaaSt Ephemeral Elasticity for Off-the-Shelf Cloud Applications
Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic +1
Elasticity is a key property of cloud computing. However, elasticity is offered today at the granularity of virtual machines, which take tens of seconds to start. This is insuffici…