Adaptive Memory Heap Selection for Dynamic Rendering Resources
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Solution Overview
Problem
Existing graphics rendering systems face performance issues due to suboptimal allocation of dynamic resources in memory heaps, leading to inefficiencies in host processor and accelerated processor usage, particularly in scenarios where the system is dynamically host processor-bound or AP-bound.
Innovation Solution
An adaptive heap choice strategy that tracks host processor and AP usage over a configurable number of frames to dynamically select the preferred heap for newly requested renaming instances of dynamic resources, optimizing performance by allocating resources in either the local or non-local heap based on the current system state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If dynamic resources are allocated in local heap for faster AP access, then rendering speed is improved, but host processor access efficiency deteriorates
Solution Approach 1:
The system dynamically selects between local heap and non-local heap for allocating dynamic resources based on real-time system state (host processor-bound or AP-bound conditions). This dynamic adaptation allows the system to optimize memory allocation strategy according to current workload characteristics, resolving the contradiction between fast AP access and efficient host processor access.
Solution Approach 2:
The invention changes the memory allocation parameter (heap selection) based on system performance metrics. By monitoring whether the system is host processor-bound or AP-bound, the system adjusts the memory heap parameter to optimize overall performance, balancing the trade-off between rendering speed and host processor access efficiency.
2Productivity
If dynamic resources are allocated in non-local heap for faster host processor access, then host processor efficiency is improved, but AP access speed deteriorates
Solution Approach 1:
The system dynamically adjusts memory allocation strategy by selecting between local heap and non-local heap based on whether the system is currently host processor-bound or AP-bound. This dynamic approach ensures that host processor efficiency is optimized when appropriate, while maintaining acceptable AP access performance through adaptive resource management.
Solution Approach 2:
The invention modifies the memory heap allocation parameter based on system performance monitoring. When the system is determined to be host processor-bound, the parameter changes to favor non-local heap allocation, thereby optimizing host processor efficiency while managing the trade-off with AP access speed.
3Ease of operation
If a fixed heap preference is used for dynamic resources, then allocation simplicity is maintained, but performance adaptability deteriorates
Solution Approach 1:
The system implements feedback mechanisms by monitoring system performance metrics (host processor usage, AP usage) and using this information to dynamically adjust heap selection for dynamic resources. This feedback loop enables the system to adapt to changing workload conditions while maintaining automated management, resolving the contradiction between operational simplicity and performance adaptability.
Solution Approach 2:
The system performs self-service by automatically monitoring its own performance state and making intelligent decisions about memory allocation without requiring manual intervention. The driver or system automatically determines whether to use local or non-local heap based on real-time metrics, maintaining ease of operation while achieving high adaptability to different performance scenarios.
Data Source
AI summary
A processor system includes a host processor couplable to an accelerated processor and a plurality of memory heaps. The host processor is configured to select a memory heap from the plurality of memory heaps based on processor usage information and in response to a request for a dynamic resource. The host processor is further configured to allocate or use a recycled instance of the dynamic resource in the selected memory heap.