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Composable Infrastructure and Green Scheduling for Large-Scale Scientific Computing

Sebastian Andres Uribe Ruiz · CERN

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About

**Project Description**:This project evaluates two complementary areas aiming at improving energy efficiency in HPC or Cloud based deployments: composable infrastructure, enabling dynamic runtime composition and assignment of GPUs and other specialized resources; and optimized scheduling and suspension of non-critical workloads when possible. The student will: Study the available options in both areas, considering tools such as CoHDI for composable infrastructure or EAR and kube-green for energy aware scheduling, deploy them in test clusters, with the goal of measuring operational impact on overall utilization, scheduling efficiency and savings, identify limitations and integration challenges, highlighting synergies as well as incompatibilities between HPC and cloud environments.

**Supervisors**: Laura Eve Sarah Llinares, Matteo Bunino.

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The talk

  1. Composable Infrastructure and Green Scheduling for Large-Scale Scientific Computing 2026-08-17 · 7 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Sebastian Andres Uribe Ruiz
Year
2026
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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