StartOverclockGPU

Starts GPU overclocking on a GPU.

Parameters

[in] pCompleteListener IADLXGPUAutoTuningCompleteListener* The pointer to a GPU tuning complete listener interface.

Return Value

If the GPU overclocking is successfully started, ADLX_OK is returned.

If the GPU overclocking is not successfully started, an error code is returned.

Refer to ADLX_RESULT for success codes and error codes.

Remarks

The StartOverclockGPU method triggers an asynchronous execution for the autotuning and returns immediately. When the autotuning is completed, ADLX calls OnGPUAutoTuningComplete in the GPU tuning complete listener. After the event is raised, IsCurrentOverclockGPU returns true.

Additional Info

Automatic GPU overclocking uses an overclocking algorithm to improve GPU performance.

Requirements

Header	include “IGPUAutoTuning.h”
Minimum version	1.0

Visit the adlx product page for download links and more information.

Samples – ADLXPybind (adlx) (Python)

Pybind Demonstrates how to wrap ADLX with pybind11 when programming with ADLX.

GPU Tuning – GPUAutoTuning (adlx) (C)

utoTuning This document describes how to control GPU Auto Tuning.

GPU Tuning – GPUAutoTuning (adlx) (C++)

utoTuning Demonstrates how to control GPU auto-tuning when programming with ADLX.

ADLX Types – ADLX Structs (adlx)

Structs This section provides documentation for the ADLX strucs.

Performance Monitoring – PerfAllMetrics (adlx) (C++)

AllMetrics Demonstrates how to control all metrics when programming with ADLX.

Performance Monitoring – PerfGPUMetrics (adlx) (C++)

GPUMetrics Demonstrates how to control GPU metrics when programming with ADLX.

Performance Monitoring – PerfAllMetrics (adlx) (C)

AllMetrics Demonstrates how to control all metrics when programming with ADLX.

Performance Monitoring – PerfGPUMetrics (adlx) (C)

GPUMetrics Demonstrates how to control GPU metrics when programming with ADLX.

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