Abstract: A multiprocessor, multiprogram, stop-the-world garbage collection program is described. The system initially over partitions the root sources, and then iteratively employs static and dynamic work balancing. Garbage collection threads compete dynamically for the initial partitions. Work stealing double-ended queues, where contention is reduced, are described to provide dynamic load balancing among the threads. Contention is resolved by atomic instructions. The heap is broken into a young and an old generation where semi-space copying employing local allocation buffers is used to collect the reachable objects in the young section, and for promoting objects from the young to the old generations, and parallel mark-compacting is used for collecting the old generation. Efficiency of collection is enhanced by use of card tables and linking objects, and overflow conditions are efficiently handled by linking using class pointers. The garbage collection termination using a global status word is employed.

Abstract: A multiprocessor, multi-program, stop-the-world garbage collection program is described. The system initially over partitions the root sources, and then iteratively employs static and dynamic work balancing. Garbage collection threads compete dynamically for the initial partitions. Work stealing double-ended queues, where contention is reduced, are described to provide dynamic load balancing among the threads. Contention is resolved by using atomic instructions. The heap is broken into a young and an old generation where parallel semi-space copying is used to collect the young generation and parallel mark-compacting the old generation. Speed and efficiency of collection is enhanced by use of card tables and linking objects, and overflow conditions are efficiently handled by linking using class pointers. A garbage collection termination employs a global status word.

Abstract: A computer system employing a plurality of concurrent threads to perform tasks that dynamically identify further similar tasks employs a double-ended queue (“deque”) to list the dynamically identified tasks. If a thread's deque runs out of tasks while other threads' deques have tasks remaining, the thread whose deque has become empty will remove one or more entries from another thread's deque and perform the tasks thereby identified. When a thread's deque becomes too full, it may allocate space for another deque, transfer entries from its existing deque, place an identifier of the existing deque into the new deque, and adopt the new deque as the one that it uses for storing and retrieving task identifiers. Alternatively, it may transfer some of the existing deque's entries into a newly allocated array and place an identifier of that array into the existing deque.

Abstract: A multiprocessor, multi-program, stop-the-world garbage collection program is described. The system initially over partitions the root sources, and then iteratively employs static and dynamic work balancing. Garbage collection threads compete dynamically for the initial partitions. Work stealing double-ended queues, where contention is reduced, are described to provide dynamic load balancing among the threads. Contention is resolved by using atomic instructions. The heap is broken into a young and an old generation where parallel semi-space copying is used to collect the young generation and parallel mark-compacting the old generation. Speed and efficiency of collection is enhanced by use of card tables and linking objects, and overflow conditions are efficiently handled by linking using class pointers. The garbage collection termination employs a global status word.

Abstract: A multiprocessor, multi-program, stop-the-world garbage collection program is described. The system initially over partitions the root sources, and then iteratively employs static and dynamic work balancing. Garbage collection threads compete dynamically for the initial partitions. Work stealing double-ended queues, where contention is reduced, are described to provide dynamic load balancing among the threads. Contention is resolved by using atomic instructions. The heap is broken into a young and an old generation where parallel semi-space copying is used to collect the young generation and parallel mark-compacting the old generation. The old generation heap is divided into a number of contiguous cards that are partitioned into subsets. The cards are arranged into the subsets so that non-contiguous cards are contained in each subset. Speed and efficiency of collection is enhanced by use of card tables and linking objects, and overflow conditions are efficiently handled by linking using class pointers.

Abstract: In response to source code that represents instructions for dynamically allocating memory to objects, a compiler/interpreter produces instructions that implement a garbage collector. The garbage collector operates in garbage-collection cycles, which include parallel-execution operations such as locating reachable objects. Each thread maintains a respective task queue onto which it pushes identifiers of objects thus found and from which it pops those identifiers in order to begin the tasks of locating the further objects to which objects specified by the thus-popped identifiers refer. A thread's access to its respective task queue ordinarily occurs on a last-in, first-out basis, but the access mode switches to a first-in, first-out basis if the number of task-queue entries exceeds a predetermined threshold.

Abstract: A “garbage collector” employed to reclaim memory dynamically allocated to data objects employs multiple execution threads to perform a parallel-execution operation and its garbage-collection cycle. A thread executes tasks that it selects from lists whose entries represent tasks dynamically identified during other tasks' performance. When a thread fails to find a task in one of these lists, it sets to an inactivity-indicating value a field associated with it in a global status word. It also determines whether any field associated with any of the other threads indicates activity. If not, the thread concludes that the parallel-execution operation has been completed. Otherwise, it returns to searching for further tasks to perform.

Abstract: A garbage collector employs a plurality of task queues for a parallel-execution operation in a garbage-collection cycle. Each task queue is associated with a different ordered pair of the threads that perform the parallel-execution operation in parallel. One of the threads, referred to as that task queue's “enqueuer” thread, is the only one that can “push” onto that queue an identifier of a dynamically identified task. The other thread, referred to as that task queue's “dequeuer,” is the only one that can “pop” tasks from that task queue for execution. Since, for each task queue, there is only one thread that can “push” task identifiers on to it and only one thread that can “pop” task identifiers from it, the garbage collector can share dynamically identified tasks optimally among its threads without suffering the cost imposed by making combinations of otherwise separate machine instructions atomic.

Abstract: A system that performs real-time garbage collection by dynamically expanding and contracting the heap is provided. This system performs real-time garbage collection in that the system guarantees garbage collection will not take more time than expected. The system dynamically expands and contracts the heap to correspond to the actual memory space used by live objects. This dynamic resizing of the heap has the advantages of expanding when the amount of objects increases and contracting to free memory space for use by other procedures when the amount of objects decreases. Keeping the heap as small as possible frees resources for other processes and increases the locality of reference for the application. This dynamic resizing also ensures that the new memory space will not run out of memory before all of the live objects from the old memory space are copied, even if all of the live objects in the old memory space survive.