TEMP: A Memory Efficient Physical-aware Tensor Partition-Mapping Framework on Wafer-scale Chips
Published:Dec 16, 2025 10:06
•1 min read
•ArXiv
Analysis
This article introduces a research paper on a framework called TEMP designed for efficient tensor partitioning and mapping on wafer-scale chips. The focus is on memory efficiency and physical awareness, suggesting optimization for hardware constraints. The target audience is likely researchers and engineers working on large-scale AI models and hardware acceleration.
Key Takeaways
- •Focus on memory efficiency for large-scale AI models.
- •Addresses physical constraints of wafer-scale chips.
- •Targeted at researchers and engineers in related fields.
Reference
“The article is based on a paper from ArXiv, indicating it's a pre-print or research publication.”