Conference presentation
VGAC: Predictive Queue Intelligence for GPU Cluster Observability
Andrew Espira · 2026-04-22
2026 Improving Scientific Software Conference (ISS26), Boulder, CO
ORCID: https://orcid.org/0009-0002-9196-8094 · DOI: 10.5281/zenodo.19687976
Abstract
VGAC — Visualize, Gate, Advise, Calibrate — is a calibration-first approach to GPU-cluster queue intelligence. Empirical evidence from Amazon EKS and AWS ParallelCluster Slurm shows that ECE, not AUROC, is the deployment-relevant metric, and that discrimination mostly transfers across schedulers while calibration does not.
Cite
Andrew Espira (2026). VGAC: Predictive Queue Intelligence for GPU Cluster Observability. 2026 Improving Scientific Software Conference (ISS26), Boulder, CO. https://doi.org/10.5281/zenodo.19687976
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