Unverified50% confidenceFactExact time
When GPU kernels accumulate gradients across thousands of threads using atomic operations, the order of completion depends on the scheduler, causing the same numbers to produce last-bit differences due to different addition orders.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedatomicAdd in GPUs does not guarantee a global ordering of operations.73% similarUnverifiedTraditional inference runs the Prefill stage and Decode stage serially on the same group of GPUs, causing the two types of workloads to interfere with each other and making it difficult to optimize GPU utilization69% similarUnverifiedGPU中不同warp、不同SM之间的调度顺序由硬件动态决定,是非确定性的根源69% similarUnverifiedFirst-order method operations such as matrix-vector multiplication are naturally suited for parallel execution on GPUs, whereas the Interior Point method relies on matrix decomposition and is difficult to leverage the massively parallel capabilities of GPUs.67% similarUnverifiedFragment shaders on modern GPUs are naturally suited for per-pixel mathematical operations, because GPUs have thousands of parallel computing cores that can simultaneously execute the same mathematical function on every pixel on screen66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1001671API
curl https://kongchang.com/api/v1/knowledge/claims/1001671MCP
get_claim(id=1001671)