Unverified50% confidenceFactExact time
GPU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
1
Sources
50%
Confidence
Long-term
Relevance
8/11/2026
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
UnverifiedNVIDIA GPUs use the SIMT architecture; the 32 threads within a warp exchange data and accumulate via shuffle instructions, execution within a warp is synchronous, but the scheduling order across different warps and different SMs is dynamically determined by hardware.75% similarUnverifiedGradients passing through ManipulaPy's planning, control, simulation, or perception modules cannot currently be guaranteed, because these modules internally cross host boundaries between GPU and CPU.69% similarUnverifiedMLX generally has an advantage in pure GPU inference, while GGUF is more flexible when CPU/GPU hybrid scheduling is required.69% similarUnverifiedNVIDIA 的 MIG 和 GPU Time-Slicing 技术允许对 GPU 逻辑切分，但对于 7B+ 参数的 LLM 推理通常仍需独占整卡69% similarUnverifiedNVIDIA's non-uniform tensor parallelism implementation introduces an Unbalanced GEMM Kernel, allowing different GPUs to perform matrix multiplications with different numbers of columns within the same layer.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/731072API
curl https://kongchang.com/api/v1/knowledge/claims/731072MCP
get_claim(id=731072)