This paper introduces S ELE Q TOR, which develops meta-backend-driven benchmarking, a technique that leverages workload-sensitive metrics to select the best backend per workload and provide runtime estimates for intelligent Q-HPC resource scheduling.
High Performance Computing (HPC) and Quantum Computing (QC) systems are increasingly converging towards unified High Performance Computing-Quantum Computing (HPCQC) infrastructures, driven by a growing need to bridge classical and quantum workflows, which affects all levels of the system stack, from the hardware to com...
Andre Youssefi, Ercüment Kaya, Minh Chung et al.· 0 citations
Quantum applications increasingly execute as multi-stage quantum-classical pipelines, interleaving QPU computation with classical stages like circuit generation, transpilation, layout mapping, quantum error mitigation (QEM), and post-processing. These stages have diverse resource requirements and exhibit stochastic beh...
Ayush Bansal, Owen Cochell, Santiago Núñez-Corrales et al.· 0 citations
BOOSTEDSOSA is introduced, a dual-FPGA ML-assisted Scheduling architecture that integrates a Machine Learning predictor for expected processing times, with a novel temporal-aware training policy, enabling its use in existing HPC systems.
Adam H. Ross, Riccardo Revalor, Aryan Singh et al.· 0 citations
Moving from quantum research and development to production-grade, fault-tolerant quantum workload execution remains one of the most significant challenges facing quantum platform builders. While Python frameworks have enabled an easy entry point for quantum algorithm design, the low-latency requirements for real-time q...
Joseph K. L. Lee, M. Malekmohammadi, Hong-Sheng Zheng et al.· 0 citations
Large language models (LLMs) are increasingly used as backends for intelligent web services, but serving them across the edge continuum requires balancing quality, latency, model footprint, and energy. This paper presents a controlled measurement study of self-hosted LLM inference across edge and near-edge deployment n...
Maysam Khatib, Moysis Symeonides, Demetris Trihinas et al.· 0 citations
In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: the SuperMUC-NG supercomputer at the Leibniz Supercomputing Centre (LRZ), a 20-qubit superconducting quantum processor provided by IQM Quantum...
Muhammad Nufail Farooqi, Minh Chung, B. Mete et al.· 0 citations
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