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Goal Identify a vendor‑agnostic way to detect when a kernel saturates global or local memory bandwidth, using only standard OpenCL APIs or widely supported extensions. Constraints and uncertainty The core OpenCL profiling API ( clGetEventProfilingInfo ) reports only queue‑level command timestamps, not internal pipeline stalls or memory‑subsystem contention.
The goal is to identify the dominant performance bottleneck in a WeBlate deployment that hosts many projects. The UI preview endpoint currently retrieves all language files on each request, potentially driving high CPU and I/O usage. At the same time, the file‑watcher may miss rapid edits to .po files, causing the UI to display stale translations until a man
Context Magento 2's built-in profiler ( Magento\Framework\Profiler ) can be enabled via bin/magento dev:profiler:enable html_file to generate flame-graph HTML reports in var/profiler.*.html . The profiler captures timer IDs, elapsed time, memory usage, and call counts for each instrumented code block. Problem On complex pages (e.g., category listings with la
opencl
weblate
magento