Memory allocation costs in large C and C++ programs
Software—Practice & Experience
Garbage collection: algorithms for automatic dynamic memory management
Garbage collection: algorithms for automatic dynamic memory management
The C++ Programming Language, Third Edition
The C++ Programming Language, Third Edition
A High-Performance Memory Allocator for Object-Oriented Systems
IEEE Transactions on Computers
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
Java server performance: a case study of building efficient, scalable Jvms
IBM Systems Journal
Software—Practice & Experience
Estimating software readiness using predictive models
Information Sciences: an International Journal
| Hi-index | 0.00 |
Dynamic memory management has been a high cost component in many software systems. A study has shown that memory intensive C programs can consume up to 30% of the program run time in memory allocation and liberation. Especially, in C++ programs, they tend to have object creation and deletion prolifically. C++ memory allocation rate can be as much as 10 times higher than the comparable applications written in C. Despite the importance of dynamic memory management in C++, there exist few software tools to study dynamic memory in C++. This paper introduces a tracing tool, called mtrace++, to study the dynamic memory allocation behavior in C++ programs.Mtrace++ is a source code level instrumented tracing tool which produces records of allocation and deallocation information. The allocation information contains size, type and path. The allocation paths may lead to indirect memory allocation. The collected traced data is analyzed by stat. Stat produces concise information from the traced data. Mtrace++ provides extended functionalities which include measuring life-spans and detecting memory leaks. With limited overheads, mtrace++ can help programmers to solve dynamic memory problems with affordable cost.