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The cache line is selected based on the valid bit [1] associated with it. If the valid bit is 0, the new memory block can be placed in the cache line, else it has to be placed in another cache line with valid bit 0. If the cache is completely occupied then a block is evicted and the memory block is placed in that cache line.
The RRIP backend makes the eviction decisions. The sampled cache and OPT generator set the initial RRPV value of the inserted cache lines. Hawkeye won the CRC2 cache championship in 2017, [24] and Harmony [25] is an extension of Hawkeye which improves prefetching performance. Block diagram of the Mockingjay cache replacement policy
A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory. [1] A cache is a smaller, faster memory, located closer to a processor core, which stores copies of the data from frequently used main memory locations.
Once any "M" line is written back, the cache obtains the block from either the backing store, or another cache with the data in the "S" state. The cache can then supply the data to the requester. After supplying the data, the cache block is in the "S" state. When a write request arrives at a cache for a block in the "M" state, the cache ...
Once the cache block is in the Modified (M) state and there is a bus read (BusRd) request, the block flushes (Flush) the modified data and changes the state to owned (O), thus making it the sole owner for that particular cache block. At the same time, when it is in the modified (M) state, there is never going to be a bus write request (BusUpgr ...
Consider the case when L2 is inclusive of L1. Suppose there is a processor read request for block X. If the block is found in L1 cache, then the data is read from L1 cache and returned to the processor. If the block is not found in the L1 cache, but present in the L2 cache, then the cache block is fetched from the L2 cache and placed in L1.
A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store; thus, the more requests that can be served from the cache, the faster the system performs.
Cache coherence is the discipline which ensures that the changes in the values of shared operands (data) are propagated throughout the system in a timely fashion. [2] The following are the requirements for cache coherence: [3] Write Propagation Changes to the data in any cache must be propagated to other copies (of that cache line) in the peer ...