Mask-efficient distributed attention speeds up long-context training by up to 3.7x

FlashMask-3 uses a column-wise sparse mask representation with zero-communication mask localization to accelerate structured attention on H100 GPUs.

Chinese Tech
Guoxia Wang · Qianyue He · Siming Wu · Haoyang Xie · Qiwen Bao · Jinle Zeng · +3 more

Baidu Inc.

Research Digest··2 min read
Wang et al.

They developed FlashMask-3, building on FlashMask's column-wise sparse mask representation.

Why this paper

From Baidu Inc.

In one line

FlashMask-3 improves throughput for long-context training with structured attention masks on Hopper GPUs.

What we could check

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