Verified75% confidenceFactExact time
Floating-point addition does not satisfy the associative law; (a+b)+c and a+(b+c) may yield different results under floating-point precision.
3
Sources
75%
Confidence
Long-term
Relevance
8/10/2026
First Seen
Sources
固定随机种子GPU结果仍不可复现?深度解析原因与解决方案
Related Claims
Unverified浮点运算不满足结合律,不同线程束的执行顺序差异会导致数值结果出现细微偏差76% similarUnverifiedQuantization error originates from rounding deviations caused by precision truncation when mapping floating-point numbers (such as FP16 and BF16) to low-bit integers (such as INT8 and INT4).65% similarUnverifiedDue to IEEE 754 floating-point precision limitations, directly using EXPECT_EQ for floating-point comparisons will almost certainly lead to false failures, and EXPECT_NEAR should be used to specify a tolerance.65% similarUnverifiedVariational inequalities are more difficult to handle than standard convex optimization, mainly because the monotonicity of the operator is not equivalent to a gradient structure of some convex function.63% similarUnverified实际部署中因并行计算的浮点非确定性可能产生细微差异并随链式生成放大61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/728344API
curl https://kongchang.com/api/v1/knowledge/claims/728344MCP
get_claim(id=728344)