Symbolic Analysis for Parallelizing Compilers is popular PDF and ePub book, written by Mohammad R. Haghighat in 2007-08-19, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Symbolic Analysis for Parallelizing Compilers can be Read Online from any device for your convenience.
Symbolic Analysis for Parallelizing Compilers Book PDF Summary
In Symbolic Analysis for Parallelizing Compilers the author presents an excellent demonstration of the effectiveness of symbolic analysis in tackling important optimization problems, some of which inhibit loop parallelization. The framework that Haghighat presents has proved extremely successful in induction and wraparound variable analysis, strength reduction, dead code elimination and symbolic constant propagation. The approach can be applied to any program transformation or optimization problem that uses properties and value ranges of program names. Symbolic analysis can be used on any transformational system or optimization problem that relies on compile-time information about program variables. This covers the majority of, if not all optimization and parallelization techniques. The book makes a compelling case for the potential of symbolic analysis, applying it for the first time - and with remarkable results - to a number of classical optimization problems: loop scheduling, static timing or size analysis, and dependence analysis. It demonstrates how symbolic analysis can solve these problems faster and more accurately than existing hybrid techniques.
Detail Book of Symbolic Analysis for Parallelizing Compilers PDF
- Author : Mohammad R. Haghighat
- Release : 19 August 2007
- Publisher : Springer
- ISBN : 9780585268293
- Genre : Computers
- Total Page : 151 pages
- Language : English
- PDF File Size : 16,7 Mb
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