Distributed Shader Compilation Optimization via Client Device Network

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Solution Overview

Problem

Conventional shader compilers face challenges in efficiently selecting optimization passes within a short time frame, leading to poor shader performance and user frustration, as they lack an effective strategy for optimizing shaders during compilation.

Innovation Solution

A method and system that allow client devices to perform optimization procedures on shaders, compare results to best-known compilations, and communicate improved compilations back to a host system, which then broadcasts these optimizations to other devices for further refinement, using a network to facilitate efficient shader compilation and rendering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If conventional shader compilers perform optimization procedures within a short compilation time, then compilation speed is maintained, but shader optimization quality deteriorates

Engineering Contradiction:
Improvecompilation timeVSAvoidshader optimization quality
Core Design Contradiction:
Loss of timeVSManufacturing precision

Solution Approach 1:

The system performs shader optimization in advance by distributing compilation tasks to multiple client devices before runtime execution. Each client device compiles shaders using different optimization strategies beforehand, and the best pre-compiled shader variants are stored for rapid selection during runtime, eliminating the need for time-consuming optimization during actual execution.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The optimization process is divided into multiple independent segments executed by different client devices. Each client device independently performs optimization passes on shader code using different strategies, and the results are compared to determine the best optimization. This segmentation allows parallel processing of optimization tasks across the network.

Inventive Principle:
Principle #1Segmentation

2Productivity

If shader compilers perform comprehensive optimization procedures, then shader execution performance improves, but compilation complexity increases

Engineering Contradiction:
Improveshader execution performanceVSAvoidcompilation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system dynamically selects which optimization passes to apply based on the specific shader characteristics and target hardware. Different client devices are assigned different optimization strategies, and the system adapts by comparing results and selecting the most effective optimization sequence for each shader, rather than applying a fixed comprehensive optimization routine to all shaders.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system varies optimization parameters such as the order and selection of optimization passes across different client devices. By changing these parameters and comparing the resulting shader compilations, the system identifies the optimal parameter configuration for each shader, achieving high execution performance without requiring all possible optimizations to be applied.

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If multiple optimization passes are applied to shaders, then optimization quality improves, but power consumption increases

Engineering Contradiction:
Improveoptimization qualityVSAvoidpower consumption
Core Design Contradiction:
Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The system applies a selective subset of optimization passes to each shader based on the specific shader requirements and performance goals, rather than applying all possible optimization passes. Different client devices apply different subsets of optimizations, and the best results are selected, achieving high optimization quality while avoiding the excessive power consumption that would result from applying every possible optimization pass to every shader.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10296345B2Method and system for distributed shader optimization
Publication Date: 2019.05.21 NVIDIA CORP
  • US10296345B2 patent drawing
  • US10296345B2 patent drawing
  • US10296345B2 patent drawing

AI summary

Embodiments of the present invention are operable to communicate a list of important shaders and their current best-known compilations to remote client devices over a communications network. Client devices are allowed to produce modified shader compilations by varying optimizations. If a client device produces a modified compilation that beats an important shader's current best-known compilation, embodiments of the present invention can communicate this new best-known shader compilation back to a host computer system. Furthermore, embodiments of the present invention may periodically broadcast the new best-known shader compilation back to client devices for possible further optimization or for efficient rendering operations using the best-known shader compilation.