Oversubscribed Command Queues in GPUs
Sooraj Puthoor, Xulong Tang, Joseph Gross, Bradford M. Beckmann · 2018
As GPUs become larger and provide an increasing number of parallel execution units, a single kernel is no longer sufficient to utilize all available resources. As a result, GPU applications are beginning to use fine-grain asynchronous kernels, which are executed in parallel and expose more concurrency. Currently, the Heterogeneous System Architecture (HSA) and Compute Unified Device Architecture (CUDA) specifications support concurrent kernel launches with the help of multiple command queues (a.k.a. HSA queues and CUDA streams, respectively). In conjunction, GPU hardware has decreased launch overheads making fine-grain kernels more attractive.