Author

Apoorve Mohan

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Preprint Sep 2026

Towards Continuous Profiling and Optimization of Quantum-Classical Pipelines

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

#machine learning Preprint Sep 2026

Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters

Distributed AI training involves recurring rounds of data exchange between multiple pairs of GPU nodes. Slowdown in even one flow due to congestion can cause the entire communication round to slowdown. Current approaches for evading congestion in AI clusters assume global control over the entire workload (e.g. coordina...

Eashan Gupta, Yong-Zhou Chen, Apoorve Mohan et al. · 0 citations