Marker API (GPU)

Close the connection to the LIKWID GPU Marker API and write out measurement data to file. This file will be evaluated by likwid-perfctr.

getregion(regiontag::AbstractString) -> nevents, events, time, count

Get the intermediate results of the region identified by regiontag. On success, it returns * nevents: the number of events in the current group, * events: a list with all the aggregated event results, * time: the measurement time for the region and * count: the number of calls.

gpumarker(f, regiontag::AbstractString)

Adds a LIKWID GPU marker region around the execution of the given function f using GPUMarker.startregion, GPUMarker.stopregion under the hood. Note that LIKWID.GPUMarker.init() and LIKWID.GPUMarker.close() must be called before and after, respectively.

Examples

julia> using LIKWID, CUDA

julia> GPUMarker.init()

julia> gpumarker("sleeping...") do
           sleep(1)
       end
true

julia> gpumarker(()->CUDA.rand(100), "create rand vec")
true

julia> GPUMarker.close()

Initialize the NvMon Marker API of the LIKWID library. Must be called previous to all other functions.

Checks whether the NVIDIA GPU Marker API is active, i.e. julia has been started under likwid-perfctr -G ... -W ... -m.

Switch to the next event set in a round-robin fashion. If you have set only one event set on the command line, this function performs no operation.

Register a region with name regiontag to the GPU Marker API. On success, true is returned.

This is an optional function to reduce the overhead of region registration at Marker.startregion. If you don't call registerregion, the registration is done at startregion.

Reset the values stored using the region name regiontag. On success, true is returned.

Start measurements under the name regiontag. On success, true is returned.

Stop measurements under the name regiontag. On success, true is returned.

Convenience macro for flanking code with GPUMarker.startregion and GPUMarker.stopregion.

Examples

julia> using LIKWID, CUDA

julia> GPUMarker.init()

julia> @gpumarker "sleeping..." sleep(1)
true

julia> @gpumarker "create rand vec" CUDA.rand(100)
true

julia> GPUMarker.close()