Author

Jieru Zhao

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Jul 2026

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations

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

Jul 2026

DSTAR: Accelerating Diffusion Transformers via Spatial and Temporal Redundancy Reduction

DSTAR, a software-hardware co-design framework that accelerates DiT inference by reducing spatial and temporal redundancy and incorporates a sparse attention reuse mechanism to minimize redundant computation in attention layers, and design a specialized hardware accelerator which achieves high efficiency in both latenc...

Chi Zhang, Jieru Zhao, Yu Feng et al. · arXiv.org · 2 citations