This chapter introduces caches, data structures that seek to alleviate high data access costs by storing some data closer to the computation. As we have seen throughout the previous chapters, the cost of data access is a critical factor in the efficiency of our algorithms. This is important not just to how we organize the data in storage but also to the type of storage we use. We say data is local when it is stored closer to the processor and thus quickly available for processing. If we copy some of the data from more expensive, distant locations to local storage, we can read the data significantly faster.
For example, we might ...
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