Please use this identifier to cite or link to this item:
|Title:||A flow-sensitive region inference for CLI||Authors:||Stefan, A.
|Issue Date:||2008||Citation:||Stefan, A.,Craciun, F.,Chin, W.-N. (2008). A flow-sensitive region inference for CLI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5356 LNCS : 19-35. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-89330-1-3||Abstract:||Region-based memory management can offer improved time performance, relatively good memory locality and reuse, and also provide better adherence to real-time constraints during execution, when compared against traditional garbage collection. We have implemented a region-memory subsystem into the SSCLI 2.0 platform and then adapted an inference system to region-enable CIL programs, with the aid of newly introduced instructions. Initial results are promising, as the programs running with regions have considerably smaller interrupting delays, compared to those running with garbage collection. Regions can bring runtime improvement for some programs (up to 50%), depending on how complicated are the data structures used in execution. © 2008 Springer Berlin Heidelberg.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/42130||ISBN:||3540893296||ISSN:||03029743||DOI:||10.1007/978-3-540-89330-1-3|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 21, 2019
checked on Apr 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.