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Author

Kunal Agrawal

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Preprint Oct 2026

Non-Clairvoyant Scheduling is Hard Even for Trees

We study online scheduling of parallel jobs on $m$ identical processors to minimize maximum flow time. Each arriving job is represented by a directed acyclic graph (DAG) whose vertices are unit-time subjobs and whose edges specify precedence constraints. We consider non-clairvoyant algorithms: the DAG is not known when...

Kunal Agrawal, Owen Druzgal, M. Prabhu et al. · 0 citations
Book Open access Jul 2026

Non-Clairvoyant Scheduling for Processing-in-Memory

This work develops a non-clairvoyant scheduling algorithm that does not know task work in advance, yet loses only a small additive term relative to the clairvoyant lower bound, and proves a performance upper bound under uniform random data placement.

H. Kang, Yiwei Zhao, Kunal Agrawal et al. · 2 citations

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