Verified claim · AI-ML · 100% confidence
FlashAttention introduced in paper: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022).
Last verified 2026-05-16 · Methodology veritas-v0.1 · e120182d1e01ea2b
Structured fields
- Subject
- FlashAttention
- Predicate
introduced_in_paper- Object
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022)
- Confidence
- 100%
- Tags
- flash-attention · performance · dao · 2022 · stanford
Sources (2)
[1] preprint · arXiv (Dao, Fu, Ermon, Rudra, Ré) · 2022-05-27
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness“We propose FlashAttention, an IO-aware exact attention algorithm that uses tiling to reduce the number of memory reads/writes between GPU high bandwidth memory (HBM) and GPU on-chip SRAM.”
[2] github release · Dao-AILab · 2022-05-27
FlashAttention reference implementation
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const r = await fetch("https://sourcescore.org/api/v1/claims/e120182d1e01ea2b.json");
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// "FlashAttention introduced in paper: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/e120182d1e01ea2b.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "FlashAttention introduced in paper: FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness (Dao et al., 2022)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_flashattention_fact() -> dict:
"""Fetch the verified SourceScore claim for FlashAttention."""
r = httpx.get("https://sourcescore.org/api/v1/claims/e120182d1e01ea2b.json")
return r.json()