SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
arXiv 2606.05495•f3f6eb978f7538518aa31a8076d113f7649a86e44e31496f93f106355707fb9b
Bitcoin economicsCUDACUDA graphsGPUGPU communicationLLM inferenceLLM-guided optimizationNVSHMEMPoCQSLO-aware schedulingautomatic code translationblockchain consensuscarbon accountingdatasetsdevice-initiated operationsenvironmental impactfederated learningmulti-precision arithmeticschedulingsecurity incentives
Paper metadata
- arXiv ID
- 2606.05495
- 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
- f3f6eb978f7538518aa31a8076d113f7649a86e44e31496f93f106355707fb9b
- Enrichment time
- 2026-06-05T08:52:25Z
- AI-assisted enrichment
- Yes
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