HUSCARL

HUSCARL (Human-Centered System & Computer Architecture Lab), formerly known as the Scalable Architecture Lab, is a research lab in the Computer Science Department at William & Mary. HUSCARL is led by Dr. Yifan Sun. HUSCARL believes that computer systems and chips are designed by humans and for humans. HUSCARL bridges HCI and data visualization with chip design, building open-source simulators, visualization tools, and AI agents that help humans understand computer architectures and make architectures serve humans better.

Hiring

HUSCARL has no plan of hiring new Ph.D. students, research interns, or undergraduate research assistants in Spring 2026, Fall 2026 and Spring 2027.

Research Topics

Explainable Architecture
Explainable Architecture
Ever-increasing complex chip designs make them hard for humans to understand. If the designers cannot fully understand the architecture, the chip will inevitably contain hardware bugs, performance bottlenecks, reliability issues, and security vulnerabilities. Therefore, we need to develop data visualization tools that help designers make well-informed and evidence-based decisions.
Computer Architecture Simulation
Computer Architecture Simulation
Cycle-based simulators are essential tools for computer architecture researchers to validate their ideas. The community needs simulators that are easy to learn, flexible, fast, and accurate. We address these needs through the Akita simulator framework and the MGPUSim multi-GPU simulator.
Multi-GPU and Wafer-Scale System Design
Multi-GPU and Wafer-Scale System Design
Single-GPU systems struggle to meet the performance requirements of large-scale workloads. Researchers use multi-GPU and wafer-scale systems to achieve higher performance, but inter-GPU communication can become a dominant bottleneck. We design architecture and system techniques that reduce inter-GPU traffic and improve performance.

Sponsors

National Science Foundation logo
National Science Foundation
Advanced Micro Devices logo
Advanced Micro Devices