Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-89330-1_3 | APLAS |
Keywords | Field | DocType |
flow-sensitive region inference,better adherence,region-based memory management,inference system,traditional garbage collection,initial result,improved time performance,cil program,good memory locality,data structure,garbage collection,real time,region based memory management | Data structure,Garbage,Manual memory management,Reuse,Computer science,Inference,Memory management,Garbage collection,Region-based memory management,Operating system | Conference |
Volume | ISSN | Citations |
5356 | 0302-9743 | 3 |
PageRank | References | Authors |
0.40 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandru Stefan | 1 | 3 | 0.40 |
| Florin Craciun | 2 | 40 | 8.19 |
| Wei-Ngan Chin | 3 | 868 | 63.37 |