2 citations · 2 across the 3 of their papers we have counts for
3 papers
Hybrid Cloud Architectures for Research Computing: Applications and Use Cases
Xaver Stiensmeier, Alexander Kanitz, Jan Krüger +12
Scientific research increasingly depends on robust and scalable IT infrastructures to support complex computational workflows. With the proliferation of services provided by resear…
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…
A Kubernetes 'Bridge' operator between cloud and external resources
Boris Lublinsky, Elise Jennings, Viktória Spišaková
Many scientific workflows require dedicated compute resources, including HPC clusters with optimized software, quantum resources, and dedicated hardware cluster systems like Ray, f…