Abstract:Dynamic languages such as R are increasingly used to process large data sets. Here, the R interpreter induces a large memory overhead due to wasteful memory allocation policies. If an application's working set exceeds the available physical memory, the OS starts to swap, resulting in slowdowns of a several orders of magnitude. Thus, memory optimizations for R will be beneficial to many applications.Existing R optimizations are mostly based on dynamic compilation or native libraries. Both methods are futile whe… Show more
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