Graphics Cache Partitioning With Dynamic Overfetch Boundaries
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Solution Overview
Problem
Conventional cache structures in graphics processors suffer from inefficiencies in data access and processing, leading to suboptimal performance in parallel graphics data processing.
Innovation Solution
The implementation of a partitioning mechanism for large GPU caches, dynamic overfetching of cache lines, and cache scrubbing and pre-eviction techniques to enhance cache utilization and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional cache structures are used in graphics processors, then the cache can store data, but data access efficiency is poor and processing performance is suboptimal
Solution Approach 1:
The cache is divided into multiple partitions or ways, allowing parallel access to different cache segments. This segmentation enables simultaneous data retrieval operations, reducing overall access time and improving processing throughput by eliminating sequential access bottlenecks.
Solution Approach 2:
The patent introduces a multi-dimensional cache addressing scheme that adds another dimension to traditional cache access. By organizing cache data in multiple dimensions (sets, ways, indices), the system can access data from different dimensions simultaneously, thereby reducing access latency and improving productivity.
2Quantity of substance
If cache size is increased to improve data storage capacity, then more data can be cached, but access latency increases
Solution Approach 1:
The large cache is segmented into multiple smaller partitions that can be accessed in parallel. This allows the system to maintain large storage capacity while reducing access latency by querying multiple partitions simultaneously rather than sequentially searching through a single large cache structure.
Solution Approach 2:
The patent implements overfetching techniques where additional cache lines are fetched in advance beyond what is immediately needed. This excessive action pre-loads data into the cache, reducing future access latency while maintaining efficient use of cache capacity through intelligent prefetching algorithms.
3Productivity
If conventional cache operation is used, then cache functions normally, but cache efficiency is suboptimal and bandwidth is not maintained
Solution Approach 1:
The cache system performs preliminary actions by pre-fetching and pre-loading data into cache before it is actually needed by the processing units. This preliminary action reduces the need for subsequent memory access operations, improving cache efficiency and maintaining bandwidth utilization by anticipating future data needs.
Solution Approach 2:
The patent implements feedback mechanisms that monitor cache hit rates, access patterns, and bandwidth utilization. This feedback information is used to dynamically adjust cache parameters, prefetching aggressiveness, and eviction policies, thereby optimizing cache efficiency and maintaining memory bandwidth under varying workload conditions.
Data Source
AI summary
Embodiments are generally directed to cache structure and utilization. An embodiment of an apparatus includes one or more processors including a graphics processor; a memory for storage of data for processing by the one or more processors; and a cache to cache data from the memory; wherein the apparatus is to provide for dynamic overfetching of cache lines for the cache, including receiving a read request and accessing the cache for the requested data, and upon a miss in the cache, overfetching data from memory or a higher level cache in addition to fetching the requested data, wherein the overfetching of data is based at least in part on a current overfetch boundary, and provides for data is to be prefetched extending to the current overfetch boundary.