What Is Cache Miss?

What happens when you forget your cash at home? This time we are talking data. What happens when your application or component requests a data item and the cache doesn't have it? The third generation. Cache miss event counters will tell you! With lower latency and higher bandwidth than ever, The primary causes of cache misses are a high volume of data requests, inappropriate data distribution, or inefficient retrieval algorithms. It can also happen if the cache data expires and needs to be refreshed. The most common methods of handling cache misses are prefetching, mirroring, and hashing. The best way to avoid cache misses is to understand how your data is distributed in the cache and how often it is requested. Cache misses are a common problem in computer science and cause significant slowdowns in computer performance. It is called a DRAM cache miss if the data is found not in the primary cache but in DRAM. A DRAM cache miss is more expensive than a primary one because it must fetch data from DRAM. In this case, a NUMA architecture will experience remote access. Therefore, the cache misses increasing the latency (the time it takes for a computer to receive a request) because the CPU has to wait for the data from RAM. The more data in the RAM, the less likely it will access it. Therefore, it is imperative to keep the RAM clean by discarding the information that is not needed. The more data you have in your cache, the slower your computer will be; for this reason, you should keep your computer's cache as empty as possible. This post will teach you to do just that by discarding the no longer needed data. One of the ways to improve performance is to reduce cache misses.