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
LLQM (Low-Level Quantum Machine), a profiling-driven meta-framework for quantum-classical pipelines that decomposes pipelines into fine-grained tasks and continuously profiles their CPU/GPU, memory, QPU, and queue dependencies alongside real-time hardware states, is presented.
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
This work introduces Backline, a heterogeneous compilation and runtime framework built within PennyLane and Catalyst that allows researchers to write workloads in high-level languages that map to low-latency execution across diverse distributed target platforms, and demonstrates the compilation and execution of several...
Joseph K. L. Lee, M. Malekmohammadi, Hong-Sheng Zheng et al.· 0 citations
A controlled measurement study of self-hosted LLM inference across edge and near-edge deployment nodes: an NVIDIA Jetson AGX Orin and a near-edge server with CPU-only and GPU-enabled inference modes, highlighting that compute-side inference metrics alone can lead to suboptimal placement for latency-sensitive interactiv...
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
