The average case of some elimination-based data-flow analysis algorithms is analyzed in a mathematical way. Besides this allows for comparing the timing behavior of the algorithms, it also provides insights into how relevant the underlying statistics are when compared to practical settings
We present a method to find static path exclusions in a control flow graph in order to refine the WC...
this thesis studies systematic methods to determine automatically the average-case cost of an algori...
Abstract: Algorithms that have good worst-case performance are not always the ones that perform best...
AbstractSreedhar et al. [V.C. Sreedhar, G.R. Gao, Y.-F. Lee, A new framework for elimination-based d...
A data flow algorithm is one that gathers information about the definition and use of data in a prog...
A unified model of a family of data flow algorithms, called elimination methods, is presented. The a...
We introduce a new framework for elimination-based data flow analysis. We present a simple algorithm...
This technical report surveys recent work in the area of interprocedural data flow analysis. We summ...
The iterative algorithm is widely used to solve instances of data-flow analysis problems. The algori...
Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framework...
* The research is supported partly by INTAS: 04-77-7173 project, http://www.intas.beThe general disc...
Data-flow analysis computes its solutions over the paths in a control-flow graph. These paths---whet...
AbstractThe “profitability” of code optimizations is defined in terms of a Markov model of program f...
* The research was supported by INTAS 00-397 and 00-626 Projects.Data analysis is a regular massif t...
Parallel data flow analysis methods offer the promise of calculating detailed semantic information a...
We present a method to find static path exclusions in a control flow graph in order to refine the WC...
this thesis studies systematic methods to determine automatically the average-case cost of an algori...
Abstract: Algorithms that have good worst-case performance are not always the ones that perform best...
AbstractSreedhar et al. [V.C. Sreedhar, G.R. Gao, Y.-F. Lee, A new framework for elimination-based d...
A data flow algorithm is one that gathers information about the definition and use of data in a prog...
A unified model of a family of data flow algorithms, called elimination methods, is presented. The a...
We introduce a new framework for elimination-based data flow analysis. We present a simple algorithm...
This technical report surveys recent work in the area of interprocedural data flow analysis. We summ...
The iterative algorithm is widely used to solve instances of data-flow analysis problems. The algori...
Data-flow analysis is an integral part of any aggressive optimizing compiler. We propose a framework...
* The research is supported partly by INTAS: 04-77-7173 project, http://www.intas.beThe general disc...
Data-flow analysis computes its solutions over the paths in a control-flow graph. These paths---whet...
AbstractThe “profitability” of code optimizations is defined in terms of a Markov model of program f...
* The research was supported by INTAS 00-397 and 00-626 Projects.Data analysis is a regular massif t...
Parallel data flow analysis methods offer the promise of calculating detailed semantic information a...
We present a method to find static path exclusions in a control flow graph in order to refine the WC...
this thesis studies systematic methods to determine automatically the average-case cost of an algori...
Abstract: Algorithms that have good worst-case performance are not always the ones that perform best...