Adaptive Bucket Subdivision for GPU Volume Rendering Memory
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Solution Overview
Problem
Graphic Processing Units (GPUs) lack dynamic memory allocation, leading to insufficient memory allocation during 3D volume rendering, resulting in rendering failures and the need for complete re-rendering of the volume when memory is exceeded.
Innovation Solution
The method involves dividing image plane pixels into adaptive buckets, subdividing buckets when the sample count exceeds the maximum, and reallocating memory to ensure efficient rendering by doubling the memory and sample capacity for each sub-bucket.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed amount of memory is allocated to the GPU for volume rendering, then the rendering process can proceed without dynamic memory management overhead, but the rendering may fail when the allocated memory is insufficient and complete re-rendering is required
Solution Approach 1:
The image plane is divided into multiple discrete buckets, each with its own memory allocation. This segmentation allows different regions to have different memory requirements, preventing single-point failures from causing complete re-rendering while maintaining overall rendering reliability.
Solution Approach 2:
The system dynamically adjusts memory allocation for each bucket based on actual rendering needs. When a bucket exceeds its allocated memory, the system responds by subdividing that specific bucket and reallocating memory, rather than requiring fixed memory allocation for the entire volume rendering process.
2Reliability
If the number of pixels processed by the GPU is reduced to prevent memory exhaustion, then rendering failures are avoided, but rendering productivity decreases
Solution Approach 1:
Different buckets are allocated different memory resources based on their specific rendering requirements. Complex regions receiving more memory allocation while simpler regions use less, optimizing both stability and productivity by avoiding uniform memory constraints across the entire image plane.
Solution Approach 2:
The system changes memory allocation parameters dynamically during rendering based on actual sample counts and complexity metrics for each bucket, allowing the rendering process to maintain stability while maximizing productivity through adaptive resource distribution.
3Manufacturing precision
If more memory is allocated to the GPU to handle complex volume data, then rendering quality and sample count increase, but memory allocation inefficiency occurs in regions requiring less memory
Solution Approach 1:
The image plane is divided into multiple discrete buckets, each with its own memory allocation. This segmentation allows different regions to have different memory requirements, preventing single-point failures from causing complete re-rendering while maintaining overall rendering reliability.
Solution Approach 2:
Different buckets are allocated different memory resources based on their specific rendering requirements. Complex regions receiving more memory allocation while simpler regions use less, optimizing both stability and productivity by avoiding uniform memory constraints across the entire image plane.
Data Source
AI summary
Techniques are disclosed for rendering scene volumes having scene dependent memory requirements. A image plane used to view a three dimensional volume (3D) volume into smaller regions of pixels referred to as buckets. The number of pixels in each bucket may be determined based on an estimated number of samples needed to evaluate a pixel. Samples are computed for each pixels in a given bucket. Should the number of samples exceed the estimated maximum sample count, the bucket is subdivided into sub-buckets, each allocated the same amount of memory as was the original bucket. Dividing a bucket in half effectively doubles both the memory available for rendering the resulting sub-buckets and the maximum number of samples which can be collected for each pixel in the sub-bucket. The process of subdividing a bucket continues until all of the pixels in the original bucket are rendered.