Large language models show promise for code generation, yet their effectiveness in producing high-performance GPU kernels remains insufficiently understood. Recent agentic workflows improve over direct prompting through specialized generation roles and execution feedback, but our characterization of a representative wo...
Yang-Jie Zhou, Xing-Chen Ma, Zi-Han Liu et al.· Proceedings of the 41st IEEE...· 0 citations
Vision-language-action (VLA) models have emerged as a key component in embodied AI. Among existing approaches, diffusion-based VLA models achieve superior motion quality and generalization. However, diffusion-based VLA models are compute-intensive and must run at high control frequency, e.g., 50-200 Hz. Thus, it impose...
Atlas is presented, an on device city scale 3DGS rendering framework that enables scalable rendering without runtime Internet access and proposes temporal aware LoD search and stereo rasterization to avoid redundant computation in VR.
He Zhu, Zheng Liu, Xingyang Li et al.· 0 citations
Kaleido is presented, an algorithm hardware codesign that accelerates all operations in vDiTs by exploiting channel-wise spatiotemporal correlations in latent space and skips redundant computations by reusing partial results while preserving higher generative quality than prior methods.
Wen-Xuan Miao, Haosong Liu, Weiming Hu et al.· arXiv.org· 1 citation
This work proposes FIBER, a new architecture that extends the GPU SIMT (single instruction, multiple thread) model, and extends the ISA, microarchitecture, and compiler to realize shared-register addressing, conflict-free operand delivery, and fiber-based program mapping.
Zi-Han Liu, Jingwen Leng, Yang-Jie Zhou et al.· 0 citations
This work proposes GPU-Tile-Sim, a tile-centric GPU simulation framework for LLM hardware-software co-design that represents kernel execution as a warp-level tile graph whose nodes capture tile-level operations and whose edges encode data and ordering constraints.
