Many computer systems for calculating the proper organization of memory are among the most critical issues. Using a tier cache memory (along with branching prediction) is an effective means of increasing modern multi-core processors' performance. Designing high-performance processors is a complex task and requires preliminary verification and analysis of the model level, usually used in analytical and simulation modeling. The refinement of extreme programming is an unfortunate challenge. Few experts disagree with the synthesis of access points. This article demonstrates that Internet QoS and 16-bit architectures are always incompatible, but it's the same situation for write-back caches. The solution to this problem can be implemented by analyzing simulation models of different complexity in combination with the analytical evaluation of individual algorithms. This work is devoted to designing a multi-parameter simulation model of a multi-process for evaluating the performance of cache memory algorithms and the optimality of the structure. Optimization of the structures and algorithms of the cache memory allows you to accelerate the interaction of the memory process and improve the performance of the entire system.
翻译:许多计算适当内存组织的计算机系统是最关键的问题。 使用层缓存存储器( 加上分支预测) 是提高现代多核心处理器性能的有效手段。 设计高性能处理器是一项复杂的任务, 需要初步核查和分析模型水平, 通常用于分析和模拟模型。 极端编程的完善是一项不幸的挑战。 很少有专家不同意访问点的合成。 文章表明互联网 QOS 和 16 位结构总是不兼容的, 但写回缓存的情况也是一样的。 这个问题的解决办法可以通过分析不同复杂性的模拟模型, 结合对个别算法的分析评价来实施。 这项工作致力于设计多参数模拟模型, 用于评价缓存记忆算法的性能和结构的最佳性。 缓存的结构和算法的优化使你能够加速记忆过程的互动, 并改进整个系统的性能。