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Showing 1 - 3 of 3 matches in All Departments
The book focuses on analyses that extract the flow of data, which imperative programming hides through its use and reuse of memory in computer systems and compilers. It will detail some program transformations that conserve this data flow and will introduce a family of analyses, called reaching definition analyses, to do this task. In addition, it shows that correctness of program transformations is guaranteed by the conservation of data flow.
Features content that has been used extensively in a university setting, allowing the reader to benefit from tried and tested methods, practices, and knowledge. In contrast to existing books on the market, it details the specialized packages that have been developed over the past decade, and focuses on pulling real-time data directly from free data sources on the internet. It achieves its goal by providing a large number of examples in hot topics such as machine learning. Assumes no prior knowledge of R, allowing it to be useful to a range of people from undergraduates to professionals. Comprehensive explanations make the reader proficient in a multitude of advanced methods, and provides overviews of many different resources that will be useful to the readers.
The text contains a detailed and current presentation of the program analyses and transformations that extract the flow of data in computer memory systems. The emphasis is on a framework for the optimization of code for imperative programs and greater computer systems efficiency. In addition, the author shows that correctness of program transformations is guaranteed by the conservation of data flow. Professionals and researchers in software engineering, computer engineering, program design analysis, and compiler design will benefit from its presentation of data-flow methods and memory optimization of compilers.
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