<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kernel-Optimization on ErrorVault — Developer Error Code Dictionary</title><link>https://errorvault.dev/tags/kernel-optimization/</link><description>Recent content in Kernel-Optimization on ErrorVault — Developer Error Code Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 19 Apr 2026 03:19:13 +0800</lastBuildDate><atom:link href="https://errorvault.dev/tags/kernel-optimization/feed.xml" rel="self" type="application/rss+xml"/><item><title>Fix clw-gpu-limit-exceeded: OpenClaw GPU resource limit exceeded</title><link>https://errorvault.dev/openclaw/openclaw-clw-gpu-limit-exceeded-gpu-resource-limit/</link><pubDate>Sun, 19 Apr 2026 03:19:13 +0800</pubDate><guid>https://errorvault.dev/openclaw/openclaw-clw-gpu-limit-exceeded-gpu-resource-limit/</guid><description>&lt;h1 id="fix-clw-gpu-limit-exceeded-openclaw-gpu-resource-limit-exceeded">Fix clw-gpu-limit-exceeded: OpenClaw GPU resource limit exceeded&lt;/h1>
&lt;h2 id="1-symptoms">1. Symptoms&lt;/h2>
&lt;p>The &lt;code>clw-gpu-limit-exceeded&lt;/code> error in OpenClaw manifests during kernel execution or resource allocation on GPU devices. OpenClaw, a high-level C++ wrapper for OpenCL, throws this error when the GPU&amp;rsquo;s hardware limits are surpassed, such as total global memory, local memory per compute unit, or maximum concurrent work-items.&lt;/p>
&lt;p>Typical symptoms include:&lt;/p>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-fallback" data-lang="fallback">&lt;span style="display:flex;">&lt;span>Error: clw-gpu-limit-exceeded
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>GPU device &amp;#39;NVIDIA GeForce RTX 3080&amp;#39; exceeded resource limits.
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>Available global memory: 10 GB
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>Requested: 12 GB for buffers + kernels
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>Aborting kernel enqueue on queue 0x7f8b2c001230
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#282a36;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-fallback" data-lang="fallback">&lt;span style="display:flex;">&lt;span>CLW_ERROR_GPU_LIMIT_EXCEEDED: clEnqueueNDRangeKernel failed with CL_OUT_OF_RESOURCES (-5)
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>Context: queue.submit(kernel, global_work_size=[1024,1024], local_work_size=[16,16])
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;p>Programs may hang indefinitely, crash with segmentation faults, or fallback to CPU execution if multi-device support is enabled. GPU utilization spikes to 100% before failure, visible via &lt;code>nvidia-smi&lt;/code> or &lt;code>rocm-smi&lt;/code>:&lt;/p></description></item></channel></rss>