Conceptio › Archive › arXiv (All)
arXiv (All) open access

EStream: Fast and Memory-Efficient MoE Prefill through Expert Virtualization on Mobile NPUs

Zhang, Junming et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
and-cluster-computingdistributedhardware-architecturemachine-learningparallel
Mobile vendors and application developers increasingly deploy LLMs on smartphones for diverse prefill-only services. Yet current systems rely mainly on dense models whose regular computation maps efficiently to mobile NPUs, leaving more capable MoEs underused. MoE prefill does not fit mobile NPUs: N
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 974665
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive