Unverified50% confidenceFactExact time
NVIDIA 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.
1
Sources
50%
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
VerifiedThe computational architecture of GPUs is based on the SIMT (Single Instruction, Multiple Threads) model, whose core advantage lies in having thousands of threads simultaneously execute the same operation.78% 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75% similarUnverified在NVIDIA GPU架构中，线程以32个为一组形成一个warp，这是GPU调度和执行的基本单位74% similarUnverifiedNVIDIA Ampere 架构引入了异步内存拷贝和稀疏矩阵加速单元，Hopper 架构引入了 Transformer Engine 专用硬件71% similarPartially VerifiedNVIDIA's MIG technology enables hardware-level resource isolation on high-end GPUs such as the A100/H100.70% similar
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