The problem
How quickly can a GPU make room for urgent work after a long kernel has begun?
What current research shows
GPUs are structured around parallel throughput and resource allocation across warps and blocks. Kernel resource use, dependencies, and device scheduling boundaries can limit how precisely work is interrupted or reprioritized.
Where the evidence stops
Preemption granularity and priority behavior vary by GPU architecture and runtime. This page intentionally avoids a universal claim about every device.
What Valen Systems is testing
Measure urgent-work delay, preemption points, throughput loss, and power transitions under mixed-priority kernel streams.