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Cache Memory Architectures for Handling Big Data Applications: A Survey

机译:缓存内存架构用于处理大数据应用:调查

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Cache memory plays an important role in the efficient execution of today's big data-based applications. The high-performance computer has multicore processors to support parallel execution of different applications and threads. These multicore processors are placed in a single chip called chip multiprocessor (CMP). Each core has its own private cache memories, and all the core share a common last-level cache (LLC). The performance of LLC plays a major role in handling big data-based applications. In this paper, we have done a survey on the innovative techniques proposed for efficiently handling big data-based applications in the LLC of CMPs.
机译:缓存存储器在高效执行当今基于数据的应用程序中播放重要作用。高性能计算机具有多核处理器,以支持不同应用程序和线程的并行执行。这些多核处理器放置在一个名为Chip MultiProcessor(CMP)的单个芯片中。每个核心都有自己的私有缓存存储器,并且所有核心都共享一个常见的最后一级缓存(LLC)。 LLC的性能在处理基于大数据的应用程序方面发挥着重要作用。在本文中,我们已经了解了有关在CMPS的LLC中有效处理基于大数据的基于大数据应用的创新技术的调查。

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