Graph Transformations for Roundoff Analysis
Webb Miller
Abstract
Webb Miller
Abstract
When analyzing a numerical algorithm, it is often possible to show that a rounding error at one floating-point operation is equivalent to errors at other operations. In such cases, it can be concluded that no generality is lost if certain operations are considered error-free. Sometimes this conclusion can be reached automatically and inexpensively compared to the cost of the ultimate roundoff analysis. It may be advantageous to use a preprocessor which performs this reduction before other automatic techniques are invoked. In this report we consider a class of elementary rounding error reductions which are most naturally interpreted as graph transformations. This leads to questions concerning heuristics and optimal strategies for the application of these transformations.
OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
When analyzing a numerical algorithm, it is often possible to show that a rounding error at one floating-point operation is equivalent to errors at other operations. In such cases, it can be concluded that no generality is lost if certain operations are considered error-free. Sometimes this conclusion can be reached automatically and inexpensively compared to the cost of the ultimate roundoff analysis. It may be advantageous to use a preprocessor which performs this reduction before other automatic techniques are invoked. In this report we consider a class of elementary rounding error reductions which are most naturally interpreted as graph transformations. This leads to questions concerning heuristics and optimal strategies for the application of these transformations.
Key concepts: Rounding, Round-off error, Preprocessor, Heuristics, Computer science, Generality, Algorithm, Graph