Question 1

How to profile Vulkan GPU performance with Remotery?

Accepted Answer

Enable the RMT_USE_VULKAN macro, ensure your Vulkan implementation supports required extensions like VK_EXT_calibrated_timestamps, and bind Remotery using rmt_BindVulkan with function pointers. Then, use scoped or explicit sample functions around Vulkan command buffers.

Question 2

Remotery vs RenderDoc for game development – which is better?

Accepted Answer

Remotery is ideal for real-time, continuous profiling with live web updates and CPU/GPU analysis, while RenderDoc excels at frame debugging and capturing specific GPU states. Use Remotery for ongoing performance tuning and RenderDoc for deep graphics debugging.

Question 3

Can I use Remotery on a headless server without a browser?

Accepted Answer

No, the viewer requires a web browser to run, as it's browser-based. You'd need to host the vis/index.html file and access it remotely, which may not be feasible in environments without GUI or network access.

Question 4

How to save and compare historical traces in Remotery?

Accepted Answer

Remotery allows dropping saved trace files onto the viewer window to load historical runs. You can save traces from the viewer interface for later inspection, enabling comparison of performance over time.

Question 5

Does Remotery support profiling multi-threaded CUDA kernels?

Accepted Answer

Yes, Remotery can profile multiple CUDA streams sharing the same context. After binding with rmt_BindCUDA, use sample functions to instrument CUDA activity, but note it requires manual setup of CUDA function pointers.

Question 6

What's the performance overhead of using Remotery?

Accepted Answer

Remotery is designed for minimal overhead, but instrumentation still adds some cost. You can reduce impact by disabling features via macros (e.g., RMT_ENABLED) or using lightweight sampling, though exact overhead depends on usage.

Remotery

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