Unverified50% confidenceFactExact time
A GPU warp typically consists of 32 threads; when threads within the same warp take different branches, warp divergence occurs, causing some threads to idle and wait, reducing parallel efficiency.
1
Sources
50%
Confidence
Long-term
Relevance
9/6/2026
First Seen
Sources
Related Entities
Related Claims
Unverified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79% similarUnverifiedNVIDIA 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.74% 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67% similarUnverifiedGPU采用隐藏延迟的策略,通过同时调度成千上万个线程,在一批线程因等待内存阻塞时切换到就绪线程65% similarUnverifiedThe scaled deployment of next-generation inference chips and GPU clusters has spread out and reduced the per-unit computing cost.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/867110API
curl https://kongchang.com/api/v1/knowledge/claims/867110MCP
get_claim(id=867110)