Author

H. Kang

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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. · ACM Symposium on Parallelism... · 2 citations