CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems
arXiv 2607.07862•df14226a18e2be4e8dc9058e0090c2e83baa0754140491f185d55a2453f126b2
accelerator-interoperabilitycanncoded-computingcta-pipeliningd2d-networksdevice-failuresdistributed-algorithmsecosystem-fragmentationgpu-aware-openshmemgpu-frequency-scalinghuawei-ascendkv-cachelatency-predictionlatency-scalingllm-servingmulti-gpunon-gpu-acceleratorsnumerical-issuesone-bit-networksprivacy-aware-computingscheduler-designsecret-sharingtensor-parallelismtiming-dependenciesvllm-ascend
Paper metadata
- arXiv ID
- 2607.07862
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- df14226a18e2be4e8dc9058e0090c2e83baa0754140491f185d55a2453f126b2
- Enrichment time
- 2026-07-10T08:52:24Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.