Author

Chen Zhang

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Preprint Sep 2026

FlashGPU-sim: Enabling GPU Modeling for Modern Architectures and AI Workloads

FlashGPU-sim is presented, an open-source, execution-driven, cycle-accurate GPU simulator for modern AI workloads that faithfully models modern hardware features such as asynchronous data movement, fine-grained synchronization, tensor-core execution, and distributed shared memory.

Si-Ying Yu, Yi-Xun Hong, Guo-Zhi Qiu et al. · 0 citations

Preprint Aug 2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

G-Power, an architecture-level GPU power modeling framework that utilizes additional known GPU chips to provide additional knowledge and adopts a three-phase algorithm consisting of pre-training with additional known chips, attention-inspired aggregation, and fine-tuning on the target GPU.

Qi-Jun Zhang, Yao Lu, Shang Liu et al. · 0 citations

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