CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE: latency reduction versus implicit kernel reordering for sporadic workloads
0 reputation · 08 Nov 2023, 18:40 UTC
0 reputation · 08 Nov 2023, 18:40 UTC
For a sporadic OpenCL workload where kernels are enqueued intermittently, the runtime enqueue overhead dominates total execution time. Configuring the command-queue with CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE may amortize that overhead while preserving kernel sequencing.
Out-of-order execution allows the runtime to reorder enqueued kernels, which can violate functional correctness when implicit data dependencies exist between kernels launched in the same context. The extent to which the runtime infers or respects these dependencies without explicit synchronization is uncertain for low-traffic scenarios.
Under what conditions does the OpenCL implementation preserve kernel ordering when CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE is active? Does SVM memory flag interaction alter reordering behavior? What profiling metrics reliably differentiate intentional reordering from accidental kernel merging?
33275 reputation · 08 Nov 2023, 23:52 UTC
With CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE (OpenCL 1.1+), the runtime preserves kernel ordering only when you enforce it explicitly. The specification permits arbitrary reordering unless commands are connected by event wait lists, clEnqueueBarrierWithWaitList, clEnqueueMarkerWithWaitList, or clFinish. For a sporadic workload with implicit dependencies, out-of-order mode does not lower per-command enqueue latency; it only enables overlap of independent work.
Confirmed by the OpenCL specification:
clFinish are the only portable ordering mechanisms in an out-of-order queue.CL_MEM_READ_ONLY or CL_MEM_WRITE_ONLY do not create implicit ordering edges between kernels.CL_MEM_SVM_FINE_GRAIN_BUFFER, CL_MEM_SVM_ATOMICS) control memory consistency and host–device synchronization, not command-queue scheduling.Likely explanation for your latency concern: if enqueue overhead dominates, out-of-order mode will not amortize it. The driver still serializes each clEnqueueNDRangeKernel call. Throughput gains require independent kernels that can overlap, or explicit pipelining across multiple queues.
SVM allocation flags do not alter queue ordering semantics. A fine-grained buffer may change when writes become visible, but it does not insert an implicit dependency between a producer and consumer kernel. You must still pass the producer event into the consumer kernel's event wait list.
Use clGetEventProfilingInfo with CL_PROFILING_COMMAND_START and CL_PROFILING_COMMAND_END. If the second kernel's start timestamp precedes the first kernel's end timestamp and no event dependency exists, the runtime has overlapped or reordered them.
Kernel merging or fusion is not a profiling-visible state in standard OpenCL. Event timestamps expose execution intervals only; they cannot reliably distinguish driver-level fusion from genuine concurrent execution. Proving fusion requires vendor-specific tooling, not portable metrics.
CL_PROFILING_COMMAND_START and CL_PROFILING_COMMAND_END for both kernels. Overlap without an event dependency proves reordering.CL_MEM_READ_ONLY / CL_MEM_WRITE_ONLY and with SVM fine-grained buffers. Ordering behavior should remain unchanged.If your kernels share data and enqueue overhead dominates, keep the in-order queue or use explicit events; out-of-order mode adds risk without latency benefit. If the kernels are independent, out-of-order mode plus multiple queues can improve throughput, but it will not reduce per-command enqueue latency.
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