Université de Toronto

Département de Génie Électrique et Informatique — Inférence LLM sur Appareil

Canada · Doctorat

University of Toronto maintains an active research program in On-Device LLM Inference. Faculty including Xilin Liu, Nandita Vijaykumar contribute to frontier research at the intersection of hardware design and AI systems. The program offers doctoral training with access to specialized laboratories and research groups.

学术历史

University of Toronto has a strong tradition in On-Device LLM Inference, building on decades of research in hardware architecture, VLSI design, and AI systems. Recent work by Xilin Liu and Nandita Vijaykumar has advanced the field and earned international recognition. The department continues to foster frontier research through seminars, collaborations, and doctoral training.

当前状态

University of Toronto currently offers specialized courses and research seminars in On-Device LLM Inference and related areas. Doctoral students engage with frontier topics in hardware acceleration, efficient inference, and AI system co-design. The department hosts regular workshops and collaborates with industry partners.

实验室 / 研究中心

embARC Research Group (Efficient Systems for Visual Computing)

访问页面 →

Xilin Liu Research Group (Edge AI & IC Design)

访问页面 →

关键人物

Xilin Liu

Assistant Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

Nandita Vijaykumar

Assistant Professor

Leading researcher in the field with international recognition for their contributions to AI hardware and systems.

学术资源

University of Toronto Graduate Admissions → 官方资源
来源:University of Toronto Department of Computer Science

证据

排名

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师资

2 位相关教师

知名:Xilin Liu、Nandita Vijaykumar

研究产出

See ece.utoronto.ca and Google Scholar for publication counts

就业去向

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