Graphics Pipeline Prefetching for Vertex Attribute Data Latency

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Solution Overview

Problem

Existing data prefetching methods in graphics processing pipelines face inefficiencies due to unpredictable access patterns and incorrect data prediction, leading to wasted resources and increased latency as they struggle to accurately anticipate which data is needed, resulting in unnecessary data transfer and slower memory access.

Innovation Solution

The method involves prefetching attribute data for a graphics processing pipeline by identifying vertices and associating them with multiple attribute data streams, allowing for the proactive storage of likely needed data in buffers, reducing reliance on slower main memory access and improving cache hit rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If traditional prefetching methods are used to retrieve data from main memory, then data can be stored in buffer for faster access, but incorrect data prediction leads to wasted resources and increased latency

Engineering Contradiction:
Improvememory access latencyVSAvoidresource waste from incorrect prefetching
Core Design Contradiction:
Loss of timeVSLoss of energy

Solution Approach 1:

The system monitors actual memory access patterns and uses this feedback to dynamically adjust prefetching decisions. By tracking which data is actually accessed and when, the system refines its prediction accuracy, reducing both latency and resource waste from incorrect prefetches.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The prefetching system transitions from static prediction rules to dynamic adaptation based on observed access patterns. The system continuously learns and adjusts its prefetching behavior to match actual usage patterns, improving prediction accuracy over time.

Inventive Principle:
Principle #15Dynamics

2Speed

If prefetching is performed to hide memory latency, then data retrieval speed improves, but unpredictable access patterns make it difficult to accurately predict which data is needed

Engineering Contradiction:
Improvedata retrieval speedVSAvoidprediction accuracy
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The system uses feedback from actual memory access patterns to continuously improve prediction accuracy. By monitoring what data is actually accessed and when, the system refines its predictions to better match real usage patterns, resolving the uncertainty caused by unpredictable access patterns.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of access patterns to identify likely future data needs before actual access occurs. By proactively analyzing patterns and predicting future requirements, the system can prefetch data more accurately without waiting for explicit access requests.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If more data is prefetched to ensure needed data is available, then cache hit rates improve, but unnecessary data transfer increases resource consumption

Engineering Contradiction:
Improvecache hit rateVSAvoiddata transfer volume
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system applies partial prefetching by transferring only the specific portions of data that are predicted to be needed, rather than prefetching complete data structures or entire datasets. This selective approach maintains cache hit rates while minimizing unnecessary data transfer.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically adjusts prefetching parameters such as prefetch distance, data volume, and timing based on observed access patterns. By changing these parameters adaptively, the system optimizes the balance between cache hit rate and data transfer volume for different workload conditions.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10747669B2Prefetching data
Publication Date: 2020.08.18 ARM LTD
  • US10747669B2 patent drawing
  • US10747669B2 patent drawing
  • US10747669B2 patent drawing

AI summary

A method of prefetching attribute data from storage for a graphics processing pipeline comprising a cache, and at least one buffer to which data is prefetched from the storage and from which data is made available for storing in the cache. The method comprises retrieving first attribute data from the storage, the first attribute data representative of a first attribute of a first vertex of a plurality of vertices of at least one graphics primitive, identifying the first vertex, and, in response to the identifying, performing a prefetch process. The prefetch process comprises prefetching second attribute data from the storage, the second attribute data representative of a second attribute of the first vertex, the second attribute being different from the first attribute, and storing the second attribute data in a buffer of the at least one buffer.