AV Goponenko, K Lamar, BA Allan, JM Brandt… - Proceedings of the 18th …, 2024 - dl.acm.org
Scheduling problems are naturally formulated in terms of Constraint Programming (CP), yet the application of CP-based approaches for job scheduling on High-Performance …
D Klusáček, B Parák - Job Scheduling Strategies for Parallel Processing …, 2018 - Springer
Modern computing environments such as clouds, grids or HPC clusters are both complex and costly installations. Therefore, it has always been a major challenge to utilize them …
T N'takpé, F Suter - Job Scheduling Strategies for Parallel Processing …, 2018 - Springer
Computing resources in data centers are usually managed by a Resource and Job Management System whose main objective is to complete submitted jobs as soon as …
JW Yoon, TY Hong, CY Park, SY Noh, HC Yu - Applied Sciences, 2020 - mdpi.com
High-performance computing (HPC) uses many distributed computing resources to solve large computational science problems through parallel computation. Such an approach can …
D Klusáček, B Parak, G Podolnikova… - Proceedings of the10th …, 2017 - dl.acm.org
Public cloud providers are using the" pay-per-use" model when providing their resources to customers. Among other advantages, it allows the provider to react to changing demands …
V Spišaková, D Klusáček, L Hejtmánek - Workshop on Job Scheduling …, 2022 - Springer
In this work, we discuss our experience when utilizing the Kubernetes orchestrator (K8s) to efficiently allocate resources in a heterogeneous and dynamic academic environment. In the …
G Zitzlsberger, B Jansık… - BIG DATA ANALYTICS … - sc18.supercomputing.org
For large-scale High Performance Computing centers with a wide range of different projects and heterogeneous infrastructures, efficiency is an important consideration. Understanding …
Abstract As High-Performance Computing (HPC) becomes increasingly prevalent and resource-intensive, there is a growing need for the development of more efficient job …