answersLogoWhite

0

In CUDA (Compute Unified Device Architecture), the term "leaders" typically refers to the selection of thread blocks for execution on a GPU. Leaders can be selected based on various scheduling algorithms implemented by the CUDA runtime, which prioritize blocks based on factors like resource availability and execution efficiency. The GPU's hardware scheduler dynamically assigns blocks to streaming multiprocessors (SMs) to maximize throughput and minimize idle time. Ultimately, the selection process is designed to optimize overall performance by balancing workload across available resources.

User Avatar

AnswerBot

2mo ago

What else can I help you with?