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If you ve done much C programming, you may recognize that this is similar to the concept of a function pointer in C. However, there are a few critical differences. Perhaps the biggest difference, the one that s the most striking when you first see it, is that blocks can be defined inline in your code. You can define a block right at the point where it s going to be passed to another method or function. Another big difference is that a block can access variables available in the scope where it s created. By default, the block makes a copy of any variables you access this way, leaving the originals intact, but you can make an outside variable read/write by prepending __block before its declaration.

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block is read In this scenario, a useless fetch of data from the next level is avoided (the fetched data is useless since it is overwritten before it is read) A writeback cache, in contrast, delays updating the other copies of the block until it has to in order to maintain correctness In a writeback cache hierarchy, an implicit priority order is used to find the most up-to-date copy of a block, and only that copy is updated This priority order corresponds to the levels of the cache hierarchy and the order in which they are searched by the processor when attempting to satisfy a reference In other words, if a block is found in the highest level of cache, that copy is updated, while copies in lower levels are allowed to become stale, since the update is not propagated to them If a block is only found in a lower level, it is promoted to the top level of cache and is updated there, once again leaving behind stale copies in lower levels of the hierarchy The updated copy in a writeback cache is also marked with a dirty bit or flag to indicate that it has been updated and that stale copies exist at lower levels of the hierarchy Ultimately, when a dirty block is evicted to make room for other blocks, it is written back to the next level in the hierarchy, to make sure that the update to the block persists The copy in the next level now becomes the most up-to-date copy and must also have its dirty bit set, in order to ensure that the block will get written back to the next level when it gets evicted Writeback caches are almost universally deployed, since they require much less write bandwidth Care must be taken to design these caches correctly, so that no updates are ever dropped due to losing track of a dirty cache line We revisit writeback hierarchies in greater depth in 11 in the context of systems with multiple processors and multiple cache hierarchies However, despite the apparent drawbacks of write-through caches, several modern processors, including the IBM Power4 [Tendler et al, 2001] and Sun UltraSPARC III [Lauterbach and Horel, 1999], do use a write-through policy for the first level of cache In such schemes, the hierarchy propagates all writes to the second-level cache, which is also on the processor chip Since the next level of cache is on the chip, it is relatively easy to provide adequate bandwidth for the write-through traffic, while the design of the first-level cache is simplified, since it no longer needs to serve as the sole repository for the most up-to-date copy of a cache block and never needs to initiate writebacks when dirty blocks are evicted from it However, to avoid excessive off-chip bandwidth consumption due to write-throughs, the second-level cache maintains dirty bits to implement a writeback policy Figure 35 summarizes the main parameters block size, block organization, replacement policy, write policy, and write-allocation policy that can be used to describe a typical cache design 3435 Cache Miss Classification As discussed in Section 3431, the average reference latency delivered by a multilevel cache hierarchy can be computed as the average of the latencies of each level in the hierarchy, weighted by the global hit rate of each level The latencies of each level are determined by the technology used and the aggressiveness of the physical design, while the miss rates are a function of the.

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