{"slug": "flash-attention-mechanics-how-tiled-attention-fits-in-sram", "title": "Flash Attention Mechanics: How Tiled Attention Fits in SRAM", "summary": "A new technique called Flash Attention uses tiled attention to fit the N×N attention matrix into SRAM, reducing memory reads/writes and speeding up self-attention in transformers.", "body_md": "Self-attention is the operation that lets every token in a sequence influence every other token. The cost is an N×N matrix of pairwise…\nContinue reading on Towards AI »", "url": "https://wpnews.pro/news/flash-attention-mechanics-how-tiled-attention-fits-in-sram", "canonical_source": "https://pub.towardsai.net/flash-attention-mechanics-how-tiled-attention-fits-in-sram-e9b97d5dde5b?source=rss----98111c9905da---4", "published_at": "2026-06-26 14:01:03+00:00", "updated_at": "2026-06-26 14:11:20.290967+00:00", "lang": "en", "topics": ["large-language-models", "machine-learning", "ai-research"], "entities": ["Flash Attention", "SRAM"], "alternates": {"html": "https://wpnews.pro/news/flash-attention-mechanics-how-tiled-attention-fits-in-sram", "markdown": "https://wpnews.pro/news/flash-attention-mechanics-how-tiled-attention-fits-in-sram.md", "text": "https://wpnews.pro/news/flash-attention-mechanics-how-tiled-attention-fits-in-sram.txt", "jsonld": "https://wpnews.pro/news/flash-attention-mechanics-how-tiled-attention-fits-in-sram.jsonld"}}