Reconfigurable Dynamic Cache System for Multi-Core Latency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cache architectures are inadequate in managing the increasing performance and complexity of digital systems, particularly in memory-intensive applications, where latency between processors and memory acts as a significant performance bottleneck, necessitating an on-demand, efficient cache solution.
Innovation Solution
A reconfigurable dynamic cache system that varies its operation strategy based on application demands, utilizing a hybrid core system with a memory processing element that includes a cache memory, a front-end component for receiving and processing data requests, and a controller for selecting operational modes and delegating requests across a common path structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional cache architectures are used, then system structure is simple, but memory access latency increases and performance decreases
Solution Approach 1:
The patent implements a dynamic cache architecture where the cache controller can switch between different operational modes (cache mode, bypass mode, write-back mode, write-through mode) based on real-time workload characteristics. This dynamic adaptability allows the system to optimize memory access speed for different application scenarios without requiring a completely different cache structure for each case, thus improving performance while controlling complexity.
Solution Approach 2:
The system changes operational parameters (cache enable/disable, write policy, read policy) based on workload detection. The cache controller monitors access patterns and adjusts cache behavior parameters dynamically, allowing the same physical cache structure to serve multiple performance requirements efficiently.
2Loss of time
If cache size is increased to reduce latency, then memory bandwidth improves, but device complexity and area increase
Solution Approach 1:
The patent implements a 4KB cache structure that selectively caches only the most frequently accessed data portions (instruction cache and data cache segments) rather than attempting to cache entire memory spaces. This partial caching approach reduces the required cache area while still achieving significant latency reduction for critical operations.
Solution Approach 2:
The cache memory is divided into separate instruction cache and data cache segments, each optimized for its specific function. This segmentation allows the system to achieve effective caching for both code and data without requiring a single large unified cache, thus reducing overall cache area while maintaining low latency for both instruction fetches and data accesses.
3Productivity
If multi-core processing is implemented, then productivity increases, but memory bandwidth demand increases causing performance bottlenecks
Solution Approach 1:
The cache controller serves multiple processor cores simultaneously through a universal cache interface. The same cache structure and control logic handle memory requests from multiple cores, providing multi-functionality that allows the system to support multi-core processing without proportionally increasing cache resources or bandwidth demand.
Solution Approach 2:
The cache maintains continuous operation to serve multiple cores, reducing memory bandwidth demand by keeping frequently accessed data in the cache rather than requiring repeated accesses to slower memory. This continuous caching action sustains high productivity across multiple cores without proportionally increasing bandwidth requirements.
Data Source
AI summary
In general, the present invention relates to data cache processing. Specifically, the present invention relates to a system that provides reconfigurable dynamic cache which varies the operation strategy of cache memory based on the demand from the applications originating from different external general processor cores, along with functions of a virtualized hybrid core system. The system includes receiving a data request, selecting an operational mode based on the data request and a predefined selection algorithm, and processing the data request based on the selected operational mode. The present invention is further configured to enable processing core and memory utilization by external systems through virtualization.