3 citations · 7 across the 12 of their papers we have counts for
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cs.CV2023★ 1 cited
FlashVideo: A Framework for Swift Inference in Text-to-Video Generation
Bin Lei, le Chen, Caiwen Ding
In the evolving field of machine learning, video generation has witnessed significant advancements with autoregressive-based transformer models and diffusion models, known for synt…
cs.LG2023★ 3 cited
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
Hongwu Peng, Xi Xie, Kaustubh Shivdikar +6
In the acceleration of deep neural network training, the GPU has become the mainstream platform. GPUs face substantial challenges on GNNs, such as workload imbalance and memory acc…
cs.AR2023
Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
Hongwu Peng, Caiwen Ding, Tong Geng +3
The relentless advancement of artificial intelligence (AI) and machine learning (ML) applications necessitates the development of specialized hardware accelerators capable of handl…