Victim Cache Atomic Operations with In-Cache Arithmetic
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Solution Overview
Problem
Existing computing systems experience significant latency in accessing data from memory due to the time required for processing cores to retrieve data, which can be mitigated by incorporating a cache system that includes a victim cache to reduce cache misses and improve efficiency.
Innovation Solution
Implementing a data cache architecture that includes a victim cache to store evicted data from the main cache, allowing it to service cache misses directly without waiting for the main cache, thereby reducing latency and increasing the efficiency of the computing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a victim cache is integrated to service cache misses directly, then cache latency is reduced, but device complexity increases
Solution Approach 1:
The cache system is segmented into a main cache and a victim cache, where the victim cache specifically stores evicted data that may be needed soon. This segmentation allows the victim cache to service certain cache misses directly without involving the main cache, reducing latency for those specific cases while maintaining the overall cache hierarchy.
Solution Approach 2:
The victim cache acts as an intermediary between the main cache and higher-level memory. When data is evicted from the main cache, it is placed in the victim cache as a temporary holding area. If the evicted data is accessed again before being moved to higher-level memory, the victim cache can service this request directly, acting as a mediator that resolves the conflict between main cache eviction and potential future reuse.
2Productivity
If parallel processing of read and write transactions is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The cache controller is designed with dynamic routing capabilities that can direct read and write transactions to appropriate cache structures simultaneously. The system dynamically determines whether to service transactions from the main cache or victim cache based on current state, allowing parallel processing of multiple transaction types without rigid structural constraints.
Solution Approach 2:
The cache controller is designed as a universal component that can handle multiple types of transactions (reads, writes, read-modify-writes) and route them to appropriate targets (main cache, victim cache) based on the transaction type and current cache state. This multi-functionality allows parallel processing of diverse transaction types through a single unified controller.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture to facilitate atomic operation in victim cache are disclosed. An example system includes a first cache storage to store a first set of data; a second cache storage to store a second set of data that has been evicted from the first cache storage; and a storage queue coupled to the first cache storage and the second cache storage, the storage queue including: an arithmetic component to: receive the second set of data from the second cache storage in response to a memory operation; and perform an arithmetic operation on the second set of data to produce a third set of data; and an arbitration manager to store the third set of data in the second cache storage.