Using custom memory allocators is an efficient performance optimization technique. However, dependency on a custom allocator can introduce several maintenance-related issues. We present lessons learned from the industry and provide critical guidance for using custom memory allocators and enumerate various challenges associated with integrating them. These recommendations are based on years of experience incorporating custom allocators into different industrial software projects
textMemory managers are a source of performance and robustness problems for application software. Cu...
Abstract—Current general-purpose memory allocators do not provide sufficient speed or flexibility fo...
The pace and volume of code churn necessary to evolve modern software systems present challenges for...
Using custom memory allocators is an efficient performance optimization technique. However, dependen...
Programmers hoping to achieve performance improvements often use custom memory allocators. This in-d...
This electronic version was submitted by the student author. The certified thesis is available in th...
Performance requirements drive many of our difficult design choices. Memory management is an area wh...
Performance requirements drive many of our most difficult design choices. In memory management, such...
Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern ...
The literature of the past decade has discussed a number of con-trasting ways in which to improve ge...
To understand applications' memory usage details, engineers use instrumented builds and profiling to...
Memory fragmentation is a serious obstacle preventing efficient memory usage. Garbage collectors may...
A number of Open Source Memory Allocators are available today. Each of these allocators uses a diffe...
Interactive CAD systems have to allocate and deallocate memory frequently. Frequent memory allocatio...
Memory management takes a sequence of program-generated allocation/deallocation requests and attempt...
textMemory managers are a source of performance and robustness problems for application software. Cu...
Abstract—Current general-purpose memory allocators do not provide sufficient speed or flexibility fo...
The pace and volume of code churn necessary to evolve modern software systems present challenges for...
Using custom memory allocators is an efficient performance optimization technique. However, dependen...
Programmers hoping to achieve performance improvements often use custom memory allocators. This in-d...
This electronic version was submitted by the student author. The certified thesis is available in th...
Performance requirements drive many of our difficult design choices. Memory management is an area wh...
Performance requirements drive many of our most difficult design choices. In memory management, such...
Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern ...
The literature of the past decade has discussed a number of con-trasting ways in which to improve ge...
To understand applications' memory usage details, engineers use instrumented builds and profiling to...
Memory fragmentation is a serious obstacle preventing efficient memory usage. Garbage collectors may...
A number of Open Source Memory Allocators are available today. Each of these allocators uses a diffe...
Interactive CAD systems have to allocate and deallocate memory frequently. Frequent memory allocatio...
Memory management takes a sequence of program-generated allocation/deallocation requests and attempt...
textMemory managers are a source of performance and robustness problems for application software. Cu...
Abstract—Current general-purpose memory allocators do not provide sufficient speed or flexibility fo...
The pace and volume of code churn necessary to evolve modern software systems present challenges for...