NVIDIA RTX Memory Utility (RTXMU)
Reduce memory consumption with an open-source solution.
RTXMU Product Benefits
Save Time
RTXMU reduces the time it takes for a developer to integrate compaction and suballocation into an NVIDIA RTX™ title.
Eliminate Wasted Memory
For applications using RTXMU, NVIDIA RTX GPUs get a ~50% reduction in memory footprint.
Prevent Fragmentation
Scenes with thousands of small unique bottom-level acceleration structures (BLAS) benefit greatly from suballocation.
Open Source
To support as many developers as possible, RTXMU is open source and available on GitHub.
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Using RTXMU as a Suballocator
- The AS suballocator works around the 64 kilobyte (KB) / 4 megabyte (MB) buffer-alignment requirement by placing small AS allocations within a larger memory heap.
- The AS suballocator still needs to fulfil the 256 byte (B) alignment required for AS allocations.
- If the application requests 4MB or larger suballocation blocks, RTXMU uses placed resources with heaps that can provide 4MB alignment.
Using RTXMU for Compaction
- If the build requests compaction, RTXMU will request the compaction size be written out to a chunk of video memory.
- Once the compaction size has been copied from video memory to system memory, RTXMU allocates a suballocated compaction buffer to be used as the destination for the compaction copy.
- The compaction copy takes the original build containing unused memory segments and truncates it down to the smallest memory footprint it can fit in.
RTXMU Compaction and Suballocation Analysis
NVIDIA RTX News
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