GPU Texture Sampler Out-of-Order Scheduling for Cache Latency

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Solution Overview

Problem

Texture sampler operations in GPUs are latency-sensitive due to variable operation lengths, leading to inefficiencies in in-order pipelines, which are limited by cache size or thread count, and scaling solutions are costly and prohibitive.

Innovation Solution

Implementing an out-of-order execution mechanism for GPU texture sampler operations using virtual channels (VCs) that arbitrate transactions once data is available in the L1 cache, with a latency queue and multiple VC queues to facilitate out-of-order processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If an in-order pipeline is used for texture sampler operations, then the pipeline is simple to implement, but performance deteriorates due to latency sensitivity and variable operation lengths

Engineering Contradiction:
Improvepipeline implementation complexityVSAvoidtexture sampler operation throughput
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent segments the texture sampler pipeline into multiple virtual channels (VC0, VC1, VC2, etc.), each handling specific operations independently. This allows out-of-order execution where different virtual channels can process transactions at different rates, resolving the contradiction between pipeline simplicity and performance by introducing controlled complexity only where needed.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces dynamic arbitration mechanisms that allow the pipeline to adapt its behavior based on transaction status. The virtual channel arbitration unit dynamically selects which channel to process next based on availability and priority, enabling the system to respond to variable operation lengths without compromising overall throughput.

Inventive Principle:
Principle #15Dynamics

2Productivity

If the pipeline is made more complex to handle variable operation lengths, then productivity improves, but device complexity increases

Engineering Contradiction:
Improvetexture sampler operation throughputVSAvoidpipeline structure complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The virtual channel arbitration unit serves multiple functions: it arbitrates between different virtual channels, manages transaction priorities, and coordinates cache access. This multi-functionality allows the patent to improve productivity through out-of-order execution without proportionally increasing device complexity, as a single arbitration unit handles multiple control tasks.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The virtual channel arbitration unit acts as an intermediary between the instruction fetch unit and the execution units. It mediates the complexity of out-of-order execution by providing a centralized control mechanism that simplifies the interaction between multiple virtual channels, thus improving productivity while keeping the added complexity manageable.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If cache size is increased to reduce latency, then texture sampler performance improves, but the solution is limited by cost and scalability

Engineering Contradiction:
Improvememory access performanceVSAvoidscalability
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

Instead of increasing cache size in the traditional memory hierarchy dimension, the patent introduces a new dimension of virtual channels that operate in parallel. This allows the system to improve memory access performance by processing multiple transactions simultaneously across different virtual channels, achieving scalability without proportionally increasing cache capacity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The virtual channels enable preliminary action by allowing transactions to be prepared and queued in advance while waiting for cache availability. The arbitration unit can select which transaction to execute next based on pre-prepared state, reducing actual latency without requiring larger cache structures.

Inventive Principle:
Principle #10Preliminary action

4Reliability

If out-of-order execution is implemented using virtual channels, then latency sensitivity is reduced, but the mechanism becomes more complex

Engineering Contradiction:
Improvelatency consistencyVSAvoidexecution mechanism complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The execution mechanism is segmented into multiple independent virtual channels, each with its own transaction queue and execution path. This segmentation isolates latency variations in different channels, improving latency consistency for individual transactions while the overall system maintains complexity through the arbitration coordination between channels.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20260044923A1Out-of-order execution of graphics processing unit texture sampler operations
Publication Date: 2026.02.12 INTEL CORP
  • US20260044923A1 patent drawing
  • US20260044923A1 patent drawing
  • US20260044923A1 patent drawing

AI summary

Embodiments described herein are generally directed facilitating out-of-order execution of GPU texture sampler operations. An embodiment of a method includes a texture sampler of a GPU maintaining (i) a latency queue operable to store information regarding a set of transactions associated with each of multiple texture sampler operations and (ii) multiple virtual channel (VC) queues each operable to store information regarding transactions for a respective single texture sampler operation at a time. Out-of-order processing of the texture sampler operations is facilitated by making use of the latency queue and the VC queues. For example, during a transaction processing interval, the availability of data in a cache for the transactions associated with each of the VC queues may be determined. A VC queue may be selected based on the determined availability of data. A transaction associated with a head of the selected VC queue may then be processed.