{% extends "portfolio_item.html" %}
{% block desc %}
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      <h2>CudaStresser</h2>
      <p>
        CudaStresser is a Python-based tool designed to stress test CUDA-enabled GPUs. It performs various operations to measure GPU memory bandwidth, stress the device, and log GPU utilization metrics. This tool is ideal for developers, researchers, and system administrators looking to benchmark or stress test their GPU hardware. It supports CUDA core stress testing, VRAM load/unload, real-time GPU monitoring, and multiprocessing to maximize efficiency.
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        <h3>CUDA Stresser Code Overview</h3>
        <iframe src="https://git.jirikarlik.com/karlji/CUDA_test" 
                width="100%" height="600px" frameborder="0">
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        </iframe>
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      <h3>Project information</h3>
      <ul>
        <li><strong>Category</strong> System Testing, GPU Benchmarking</li>
        <li><strong>Technology</strong>
          <ul>
            <li><span><i class="fab fa-python"></i> Python</span></li>
            <li><span><i class="fa-solid fa-fire"></i> PyTorch</span></li>
            <li><span><i class="fa-solid fa-eye"></i> CUDA</span></li>
          </ul>
        </li>
        <li><strong>Project date</strong> March, 2024</li>
        <li><strong>Project URL</strong> <a href="https://git.jirikarlik.com/karlji/CUDA_test" target="_blank" rel="noopener noreferrer">https://git.jirikarlik.com/karlji/CUDA_test</a></li>
        <li><a href="https://git.jirikarlik.com/karlji/CUDA_test" target="_blank" rel="noopener noreferrer" class="btn-visit align-self-start">Visit Website</a></li>
      </ul>
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