06/06/2021 03:10, Honnappa Nagarahalli: > > The new library gpudev is for dealing with GPU from a DPDK application in a > > vendor-agnostic way. > > It would be good to explain how the application using GPU+DPDK would look > like.
It can be anything to invent. We can give few more words saying it is a computing done in parallel, being either a loop or sequence of tasks. In both cases, the DPDK application running on the CPU must be in control. > Which parts of the workload need DPDK's support? Control: - start task (by function or shared memory variable) - get completion notification (most probably by shared memory) We will add such requirements in v2. > Any requirements on co-existence of GPU with other accelerators? It must be generic to allow any workload with any device. > > As a first step, the features are focused on memory management. > > A function allows to allocate memory inside the GPU, while another one > > allows to use main (CPU) memory from the GPU. > > Is this memory for packet buffers or something else? Can be for packets or for control variables.
