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cs.AI2026
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation
Junyi Wen, Ruiyan Zhuang, Yongjia Xu +7
Developing high-performance kernels for Neural Processing Units (NPUs) is a critical industry bottleneck, requiring developers to manually navigate implicit hardware constraints an…
cs.AI2025
Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
Zhiyuan Fang, Zicong Hong, Yuegui Huang +5
Large Language Models (LLMs) have demonstrated impressive performance across various tasks, and their application in edge scenarios has attracted significant attention. However, sp…
cs.AI2024
Training and Serving System of Foundation Models: A Comprehensive Survey
Jiahang Zhou, Yanyu Chen, Zicong Hong +6
Foundation models (e.g., ChatGPT, DALL-E, PengCheng Mind, PanGu-) have demonstrated extraordinary performance in key technological areas, such as natural language processing and…