How GPUs 'Drive' CPUs
mike64_t · x · 2026-07-11
The post discusses a blog about how CUDA kernels run, emphasizing that the GPU heavily dictates CPU scheduling:
- The CPU statically dispatches tasks and then yields control.
- To maintain the CUDA graph's dependency model, the CPU must coordinate with message pumps, wait signals, and batch memory operations.
- The author notes that logically, it often seems like the GPU drives the CPU, rather than the other way around.
The original post also mentions APIs like WRITE/WAITVALUE in cuGraphAddBatchMemOpNode, arguing that the interface itself proves this workflow.
More from Infra
- NVIDIA pushes OpenUSD as the common layer for simulation and physical AI — MonaJalal_ · 2026-07-22
- SkyPilot exits stealth with $20M to unify fragmented GPU compute across five clouds — skypilot_org · 2026-07-22
- Production AI budgets include retries, routing, caching and observability—not just token prices — arx-go · 2026-07-22
- NVIDIA briefs analysts on Vera CPU and doubles down on monolithic agentic design — BenBajarin · 2026-07-22
- NVIDIA unveils Vera Rubin platform with claims of 10x better performance per watt — nvidia · 2026-07-22
- Why a 1GW Chinese AI data center may be plausible after all — teortaxesTex · 2026-07-22