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Method and system for predicting the performance benefits of mapping subsets of application data to multiple page sizes
Method and system for predicting the performance benefits of mapping subsets of application data to multiple page sizes
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机译：预测将应用程序数据子集映射到多个页面大小的性能优势的方法和系统
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摘要
A method for modeling the performance of memory address translation mechanism (MATM), comprises: a) receiving an execution profile that contains a memory address reference stream of an application, a set of page size mappings, and events about the application's data allocations and de-allocations; b) translating each memory reference in the input memory reference stream into a reference to the corresponding data object, by consulting the memory allocation and de-allocation events, to provide a data object reference stream; c) translating each data object reference into a corresponding page reference by consulting the page size mapping and by modeling the data allocation and de-allocation events in accordance with the mapping to provide a page reference stream and a number of pages of each page size that are needed by the respective mapping; d) using the page reference stream to provide a stream of reuse distance values; e) determining, for each reference in the reuse distance value stream, whether the reference results in a hit or a miss reference to the MATM to provide the number of hits and the number of misses for each MATM; f) providing the hit and miss values to a cost model to estimate the number of miss cycles; g) ranking the mappings by their miss cycle values such that the mapping with the lowest number of miss cycles has the highest rank.
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