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Reducing Acceleration Structure Memory with NVIDIA RTXMU

RTXMU (RTX Memory Utility) combines both compaction and suballocation techniques to optimize and reduce memory consumption of acceleration structures for any… 11 MIN READ
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Tips: Acceleration Structure Compaction

Learn how to compact the acceleration structure in DXR and what to know before you start implementing. 7 MIN READ
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Managing Memory for Acceleration Structures in DirectX Raytracing

In Microsoft Direct3D, anything that uses memory is considered a resource: textures, vertex buffers, index buffers, render targets, constant buffers… 6 MIN READ
Image depicting NVIDIA CEO Jen-Hsun Huang explaining the importance of the RAPIDS launch demo at GTC Europe 2018.
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Fast, Flexible Allocation for NVIDIA CUDA with RAPIDS Memory Manager

When I joined the RAPIDS team in 2018, NVIDIA CUDA device memory allocation was a performance problem. RAPIDS cuDF allocates and deallocates memory at high… 24 MIN READ
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Introducing Low-Level GPU Virtual Memory Management

There is a growing need among CUDA applications to manage memory as quickly and as efficiently as possible. Before CUDA 10.2, the number of options available to… 23 MIN READ
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GPUDirect Storage: A Direct Path Between Storage and GPU Memory

As AI and HPC datasets continue to increase in size, the time spent loading data for a given application begins to place a strain on the total application’s… 17 MIN READ