AIBullisharXiv – CS AI · Apr 77/10
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Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference
Researchers have developed a new low-bit mixed-precision attention kernel called Diagonal-Tiled Mixed-Precision Attention (DMA) that significantly speeds up large language model inference on NVIDIA B200 GPUs while maintaining generation quality. The technique uses microscaling floating-point (MXFP) data format and kernel fusion to address the high computational costs of transformer-based models.
🏢 Nvidia