Papers
1
Total Citations
2
H-Index
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About
Sikan Li’s research lies at the intersection of computer architecture, hardware-software co-design, and emerging workloads in graphics and machine learning. A key contribution is their work on hardware-aware 3D model workload selection and characterization, which addresses the growing computational demands of 3D applications in computer graphics, vision, and robotics. By analyzing how different hardware accelerators handle 3D spatial computations—which can be an order of magnitude more intensive than 2D tasks—Li provides critical insights for optimizing system performance and energy efficiency. This foundational work, published in 2022, has already garnered attention from researchers seeking to bridge the gap between algorithmic complexity and hardware capability. Li’s research is particularly relevant as 3D models become central to autonomous systems, augmented reality, and ML pipelines. Their systematic approach to workload characterization helps architects design more specialized and efficient accelerators, making Li a notable voice in the push toward hardware-aware algorithm design for next-generation applications.
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Top Papers
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