TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs
arXiv 2606.11357•8a8eb55bc2d651bd81b761444f1195057f25d441d53e879cf8a1095df4a6712b
AMD XDNA2AWQFP8ForeMoELLM hosting costsLLM inferenceMixture-of-ExpertsMoENPUsRL post-trainingRankGuardconcurrency-aware meteringdecentralized learningedge deploymentenergy efficiencyinfrastructure costload balancingmixed-precisionmodel poisoning defenseonline learning to rankperformance optimizationpoisoning attacksprocess mining on edge','edge computing','scheduling benchmarks'quantizationvllm-cost-meter
Paper metadata
- arXiv ID
- 2606.11357
- 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
- 8a8eb55bc2d651bd81b761444f1195057f25d441d53e879cf8a1095df4a6712b
- Enrichment time
- 2026-06-11T08:52:29Z
- 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.