Spark Policy Toolkit: Semantic Contracts and Scalable Execution for Policy Learning in Spark
arXiv 2604.25061•09165dd018df792a23caa772a3f0d9fdcd57eb11c8a141d9c280582a05f53aa8
3D-parallelismLLM-servingautoscalingcudadatabricksdepthwise-convolutionedge-llmgpu-kernel-optimizationintelligent-tutoring-systemskv-cachemapInArrowmapInPandasmicroservicesnpuspolicy-learningpost-quantum-cryptographyschedulingsingle-board-computerssparktls-certificate-chains
Paper metadata
- arXiv ID
- 2604.25061
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 09165dd018df792a23caa772a3f0d9fdcd57eb11c8a141d9c280582a05f53aa8
- Enrichment time
- 2026-04-29T08:52:21Z
- AI-assisted enrichment
- Yes
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