Focusing on cutting-edge research areas such as virtualization and cloud computing, scalable intelligent computing systems, advanced chip architectures, heterogeneous computing, and hardware-software co-design, we aim to build a globally influential and competitive academic hub in scalable computing, grounded in an integrated four-pillar framework of "theory, application, professionals, and ecosystem." Relying on the Shanghai Key Laboratory of Scalable Computing and Systems, we have established deep collaborations with leading industry partners including Huawei, Alibaba, Enflame, and Biren. Our research outcomes have been widely adopted by major open-source communities such as Linux, Xen, and KVM/QEMU, and have been recognized with prestigious national honors—including the Second Prize of the National Science and Technology Progress Award, the Second Prize of the National Technology Invention Award, and the Second Prize of the National Teaching Achievement Award. Our team comprises 12 faculty members, including 4 recognized by national-level scholar programs and 2 by national-level young scholar programs. They have guided students to prestigious awards such as the Special Prize in the 2010 Challenge Cup and the Top Prize in the 2025 Challenge Cup. In terms of international impact, our work has been selected twice for IEEE Micro TOP PICKS. These contributions represent pioneering breakthroughs in core functionalities of scalable computing systems and have played a pivotal role in enabling China to achieve world-leading virtualization capabilities for emerging hardware platforms.

1、Virtualization and Cloud Computing

Virtualization for Emerging Heterogeneous Hardware

Memory and Storage Systems

Cloud-Edge Collaborative Computing

Distributed Machine Learning

2、Scalable Intelligent Computing Systems

Hardware-Software Chip Co-Design

Intelligent Compilation

Embodied AI

3、 Computer Architecture and Design Automation

High-Performance Chip Architecture

Large Model Acceleration

In-Memory Computing

Neuromorphic Computing 

4、Domain-specific Accelerator for Efficient Large-Scale AI Inference

Domain-specific Accelerator

AI Hardware-software co-design

GPGPU architecture design

Performance optimization of AI algorithms based on GPU