Multi-view Processing Unit Parallel Rendering Pipelines
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Solution Overview
Problem
Conventional GPU graphics pipelines are inefficient for multi-view rendering due to the need for separate render passes for each viewpoint, leading to serial processing and increased time to complete a display frame, which reduces frame rate and interactivity in host applications.
Innovation Solution
A multi-view processing unit (MvPU) system that implements parallel rendering pipelines to render multiple views simultaneously, allowing for viewpoint-specific transformations and direct rendering into display buffers, reducing the burden on host applications and improving rendering efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional GPU graphics pipelines are used for multi-view rendering, then rendering can be performed using standard hardware, but separate render passes are required for each viewpoint resulting in serial processing and reduced frame rate
Solution Approach 1:
The rendering system is segmented into multiple independent rendering pipelines, each capable of processing a different viewpoint simultaneously. This segmentation allows the system to divide the multi-view rendering task into parallel sub-tasks, eliminating the serial processing bottleneck of conventional single-pipeline GPUs and enabling simultaneous rendering of multiple views.
Solution Approach 2:
The system transitions from single-dimensional sequential rendering to multi-dimensional parallel rendering by adding the dimension of simultaneous viewpoint processing. Multiple rendering pipelines operate in parallel across different viewpoint dimensions, transforming the rendering architecture from a single-stream serial process to a multi-stream parallel process that achieves higher throughput and reduced frame completion time.
2Adaptability or versatility
If separate render passes are used for each viewpoint, then standard GPU pipelines can be utilized, but repeated dispatch of geometry data and synchronization increases processing overhead
Solution Approach 1:
The rendering system is segmented into multiple independent rendering pipelines, each capable of processing a different viewpoint simultaneously. This segmentation allows the system to divide the multi-view rendering task into parallel sub-tasks, eliminating the serial processing bottleneck of conventional single-pipeline GPUs and enabling simultaneous rendering of multiple views.
Solution Approach 2:
The system transitions from single-dimensional sequential rendering to multi-dimensional parallel rendering by adding the dimension of simultaneous viewpoint processing. Multiple rendering pipelines operate in parallel across different viewpoint dimensions, transforming the rendering architecture from a single-stream serial process to a multi-stream parallel process that achieves higher throughput and reduced frame completion time.
3Ease of operation
If multiple viewpoints are rendered sequentially, then standard graphics pipelines can be used, but the host application must repeatedly dispatch scene data reducing interactivity
Solution Approach 1:
The rendering system is segmented into multiple independent rendering pipelines, each capable of processing a different viewpoint simultaneously. This segmentation allows the system to divide the multi-view rendering task into parallel sub-tasks, eliminating the serial processing bottleneck of conventional single-pipeline GPUs and enabling simultaneous rendering of multiple views.
Solution Approach 2:
The system transitions from single-dimensional sequential rendering to multi-dimensional parallel rendering by adding the dimension of simultaneous viewpoint processing. Multiple rendering pipelines operate in parallel across different viewpoint dimensions, transforming the rendering architecture from a single-stream serial process to a multi-stream parallel process that achieves higher throughput and reduced frame completion time.
Data Source
AI summary
An image rendering method comprises receiving 3D model data for a 3D model and processing the 3D model data to render image data for a hogel view to a render target. Processing the 3D model data to render the image data comprises defining a frustum having an origin at an image plane and rendering multiple sides of the frustum in a single pass without duplicating geometric shapes that pass through the image plane. The frustum comprises a plurality of side planes and having a top portion of the frustum and a bottom portion of the frustum, the plurality of side planes having a set of side plane edges that pass through the origin.