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Trace-based Automatic Padding for Locality Improvement with Correlative Data Visualization Interface

机译:基于轨迹的自动填充,可通过相关数据可视化界面改进位置

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摘要

An important goal for most programs from scientific or engineering computing is to reduce the execution time as far as possible. The programs refer to user data in problem specific access patterns. For regular applications, it can be expected that repeated program executions exhibit a similar memory access pattern. Many data intensive applications benefit from a high memory bandwidth which, on modern architectures, is supported by a multi-level cache hierarchy. The efficiency of caching depends strongly on temporal or spatial reuse, thus, potential conflicts should be avoided.
机译:对于大多数科学或工程计算程序而言,一个重要的目标是尽可能减少执行时间。程序以特定于问题的访问模式引用用户数据。对于常规应用程序,可以预期重复执行的程序会表现出类似的内存访问模式。许多数据密集型应用程序都受益于高内存带宽,在现代体系结构上,多级缓存层次结构支持该带宽。缓存的效率在很大程度上取决于时间或空间重用,因此,应避免潜在的冲突。

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