An efficient means of memory reclamation (also known as Garbage Collection) is essential for Machine Intelligence applications where dynamic storage allocation is desired or required. Solutions for real-time systems must introduce very small processing overhead and must also provide for the verification of the software in order to meet the application time budgets and to verify the correctness of the software. Garbage Collection (GC) techniques are proposed for symbolic processing systems which may simultaneously meet both real-time requirements and verification requirements. The proposed memory reclamation technique takes advantage of the strong points of both the earlier Mark and Sweep technique and the more recent Copy Collection approac...
Current real-time garbage collection algorithms are usually criticised for their high memory requir...
This paper describes a scheme for garbage collection suitable for hard real-time applications. The a...
Hardware-assisted garbage collection combines the potential of high average-case allocation rates an...
Language support of dynamic storage management simplifies the application programming task immensely...
Language support of dynamic storage management simplifies the application programming task immensely...
As the development of hardware progresses, computers are expected to solve increasingly complex prob...
We show how abstract requirements of garbage collection can be captured using temporal logic. The te...
Garbage collection (GC) is a key component of almost all modern programming languages. The advent of...
This dissertation proposes a new garbage-collected memory module architecture for hard real-time sys...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Dynamic memory management enables a programmer to allocate objects for arbitrary periods of time. It...
AbstractA uniform general purpose garbage collector may not always provide optimal performance. Some...
Traditional dynamic memory management techniques for imperative programming languages are unsuitable...
Current real-time garbage collection algorithms are usually criticised for their high memory requir...
This paper describes a scheme for garbage collection suitable for hard real-time applications. The a...
Hardware-assisted garbage collection combines the potential of high average-case allocation rates an...
Language support of dynamic storage management simplifies the application programming task immensely...
Language support of dynamic storage management simplifies the application programming task immensely...
As the development of hardware progresses, computers are expected to solve increasingly complex prob...
We show how abstract requirements of garbage collection can be captured using temporal logic. The te...
Garbage collection (GC) is a key component of almost all modern programming languages. The advent of...
This dissertation proposes a new garbage-collected memory module architecture for hard real-time sys...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Automated memory management techniques, or garbage collection, reduces the complexity and problems...
Dynamic memory management enables a programmer to allocate objects for arbitrary periods of time. It...
AbstractA uniform general purpose garbage collector may not always provide optimal performance. Some...
Traditional dynamic memory management techniques for imperative programming languages are unsuitable...
Current real-time garbage collection algorithms are usually criticised for their high memory requir...
This paper describes a scheme for garbage collection suitable for hard real-time applications. The a...
Hardware-assisted garbage collection combines the potential of high average-case allocation rates an...