Abstract
Most one-way constraint solvers use directed dataflow graphs to represent the dependencies among variables in a constraint. Unfortunately, dataflow graphs require a great deal of storage. These storage costs can help push a large application into virtual memory, thus significantly degrading interactive performance. Reducing the storage costs of dataflow graphs is therefore an important goal in constraint research. This paper describes a study that makes two contributions to solving this problem:
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.