Advertisement
Published in:
2006 | OriginalPaper | Chapter
Flattening Basic Blocks
Author : Jean Utke
Published in: Automatic Differentiation: Applications, Theory, and Implementations
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Preaccumulation of Jacobians of low-level code sections is beneficial in certain automatic differentiation application scenarios. Cross-country vertex, edge, or face elimination can produce highly efficient Jacobian preaccumulation code but requires the code section’s computational graph to be known. Such graphs can easily be derived for straight-line codes with scalar variables. Practical codes in languages such as Fortran, C, and C++ with array indexing, pointers, and references introduce ambiguities. Constructing unambiguous computational graphs is necessary to realize the full potential of cross-country elimination. We give a practical solution and investigate theoretical options for graph construction.