Ameya Keshava Mallya
f4f1df295a
git-subtree-dir: projects/rocjpeg git-subtree-mainline:d0396f30b3git-subtree-split:06a08d3cb8
23 wiersze
1.4 KiB
ReStructuredText
23 wiersze
1.4 KiB
ReStructuredText
.. meta::
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:description: What is rocJPEG?
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:keywords: video decoding, rocJPEG, AMD, ROCm
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What is rocJPEG?
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AMD GPUs contain one or more media engines (VCNs). Each VCN has one or more JPEG engines
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that provide fully accelerated, hardware-based JPEG decoding. Hardware decoders consume lower power
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than CPU-based decoders. Dedicated hardware decoders offload decoding tasks from the CPU, boosting
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overall decoding throughput. With proper power management, decoding on hardware decoders can lower the
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overall system power consumption and improve decoding performance.
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Using the rocJPEG API, you can decode compressed JPEG streams while keeping the resulting YUV
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images in video memory. With decoded images in video memory, you can run image post-processing
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using ROCm HIP, thereby avoiding unnecessary data copies via PCIe bus. You can post-process images
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using scaling or color space conversion and augmentation kernels (on a GPU or host) in a format for
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GPU/CPU-accelerated inferencing and training.
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In addition, you can use the rocJPEG API to create multiple instances of JPEG decoder based on the
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number of available VCNs/JPEG engines in a GPU device. By configuring the decoder for a device, all available
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VCNs can be used seamlessly for decoding a batch of JPEG streams in parallel. |