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arXiv cs.LG
arXiv cs.LG
6/19/2026
Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures

Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures

Short summary

Researchers perform kernel-level analysis of Med-DDPM, a 3D medical diffusion model, across NVIDIA GPUs and deploy architecture-aware optimizations including TF32 Tensor Core activation and channels-last layout. Results: 100x SM cycle reduction, Tensor Core utilization jumps from 1.45x to 9.98x, 7% IPC improvement—without synthesis quality loss. Critical systems optimization for deploying medical AI at scale.

  • •100x SM cycle reduction through TF32 + channels-last tensor layout
  • •Tensor Core utilization improves from 1.45x to 9.98x via architecture-aware optimizations
  • •7% IPC gain with zero degradation to 3D MRI synthesis quality

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Read full article at arXiv cs.LG

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