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blog.yiningkarlli.com | ||
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raphlinus.github.io
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| | | | | The GPU in your computer is about 10 to 100 times more powerful than the CPU, depending on workload. For real-time graphics rendering and machine learning, you are enjoying that power, and doing those workloads on a CPU is not viable. Why aren't we exploiting that power for other workloads? What prevents a GPU from being a more general purpose computer? | |
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filmicworlds.com
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rys.sommefeldt.com
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| | | | | [AI summary] This article discusses the technical challenges of implementing real-time ray tracing in GPUs and details Imagination's unique hardware approach to coherency gathering to improve efficiency. | |
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www.opengl-tutorial.org
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| | | Free tutorials for modern Opengl (3.3 and later) in C/C++ | ||