Dynamic Cache Allocation via Instantaneous Bandwidth Monitoring

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Solution Overview

Problem

Conventional cache allocation techniques in graphics processing units are inefficient, requiring frequent software interventions, leading to high power consumption and performance issues due to static configuration settings that fail to optimize cache performance across various workloads.

Innovation Solution

A dynamic cache allocation mechanism that monitors instantaneous bandwidth consumption and adjusts cache allocation in real-time to optimize performance by dynamically allocating cache resources based on current workload demands, reducing power consumption and improving efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional static cache allocation techniques are used, then cache configuration is simple and stable, but performance is poor and power consumption is high due to inability to adapt to varying workloads

Engineering Contradiction:

Improvecache performanceVSAvoidcache allocation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements dynamic cache allocation by making the cache configuration movable and adjustable in real-time based on workload characteristics. The system continuously monitors workload patterns and dynamically reconfigures cache parameters including allocation size, associativity, and replacement policies without requiring full system re-initialization, thus resolving the contradiction between performance adaptability and system complexity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes cache operational parameters dynamically based on detected workload types. Specifically, it adjusts cache allocation percentages, associativity levels, and replacement policies according to whether the workload is memory-bound or compute-bound, allowing the cache to optimize performance for different computational patterns while maintaining manageable complexity through parameterized control.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If frequent software interventions are implemented for cache re-programming, then cache allocation can be adjusted for different clients and modes, but power consumption increases and performance degrades due to intervention overhead

Engineering Contradiction:

Improvecache allocation flexibilityVSAvoidpower consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system implements self-service cache management through automated workload characterization and dynamic reconfiguration. The cache management unit autonomously detects workload patterns, determines optimal cache configurations, and applies adjustments without requiring software interrupts or external intervention, thereby reducing power consumption while maintaining high adaptability to different clients and operational modes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system employs feedback mechanisms by continuously monitoring cache performance metrics and workload characteristics, then using this information to dynamically adjust cache allocation. The feedback loop enables the system to adapt to changing conditions in real-time while minimizing unnecessary reconfigurations, thus balancing flexibility with power efficiency by only intervening when performance improvement is warranted.

Inventive Principle:

Principle #23Feedback

3Ease of operation

If default configuration values are used for cache, then system operation is simple, but performance is limited because ideal configuration cannot be determined for various workload types

Engineering Contradiction:

Improvecache configuration simplicityVSAvoidcache performance

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The system performs preliminary workload characterization by analyzing incoming computational patterns and predicting optimal cache configuration requirements before actual cache operations begin. This preliminary analysis allows the system to pre-configure cache parameters appropriately for the detected workload type, eliminating the need for complex manual configuration while achieving optimal performance for diverse workload scenarios.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12198220B2Dynamic allocation of cache based on instantaneous bandwidth consumption at computing devices

Publication Date: 2025.01.14 INTEL CORP

AI summary

A mechanism is described for facilitating dynamic cache allocation in computing devices in computing devices. A method of embodiments, as described herein, includes facilitating monitoring one or more bandwidth consumptions of one or more clients accessing a cache associated with a processor; computing one or more bandwidth requirements of the one or more clients based on the one or more bandwidth consumptions; and allocating one or more portions of the cache to the one or more clients in accordance with the one or more bandwidth requirements.