Deep neural networks (DNNs) are becoming progressively large and costly to train. This
paper aims to reduce DNN training costs by leveraging preemptible instances on modern …

Cloud providers auction off unallocated resources at a low cost to avoid keeping hardware
idle. One such mechanism is Harvest VMs (HVMs). These VMs grow and shrink as the …

Public cloud computing providers offer a surplus of computing resources at a lower price
with a service of a spot instance. Despite the possible great cost savings from using spot …

Molecular dynamics simulations accelerated by high-performance computing methods are
powerful tools for investigating and extracting the microscopic mechanisms characterizing …

Our system achieves significant cost savings: assuming a function execution time of two
minutes, our system has the same price as the Cloud Run solution at around 8,000 requests …

Deep neural networks (DNNs) are progressively becoming larger and very costly to train.
Additionally, the fast-rising use of large models are demanding much faster inference …

Cloud with HPC is capable of handling large applications like scientific workflow on scalable
and powerful hardware without owning or maintaining it Although cloud computing is …