Scheduling

Multi-Layer Scheduling for MoE-Based LLM Reasoning

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:Multi-Layer Scheduling for MoE-Based LLM Reasoning View PDF HTML (experimental)Ab

A Granularity Characterization of Task Scheduling Effectiveness

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:A Granularity Characterization of Task Scheduling Effectiveness View PDF HTML (ex

Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 19 Feb 2026] Title:Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads Vi

FlowPrefill: Decoupling Preemption from Prefill Scheduling Granularity to Mitigate Head-of-Line Blocking in LLM Serving

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 18 Feb 2026] Title:FlowPrefill: Decoupling Preemption from Prefill Scheduling Granularity to Mitigat

Kubernetes v1.35: Introducing Workload Aware Scheduling

• Kubernetes v1.35: Introducing Workload Aware Scheduling Scheduling large workloads is a much more complex and fragile operation than scheduling a single Pod, as it often requires

How Workers powers our internal maintenance scheduling pipeline

• Cloudflare has data centers in over 330 cities globally, so you might think we could easily disrupt a few at any time without users noticing when we plan data center operations.

Reddit ML Training: Smarter Scheduling, Faster Training with Kueue and GCP DWS

• Author: Paul Calley The landscape of machine learning and artificial intelligence is rapidly expanding, driving an immense demand for robust and scalable training platforms. • As