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Extra info for Memory Efficient Hard Real-Time Garbage Collection (Linkoping studies in science and technology)
Objects A and B refer to object C. During reference updates, the field x in C is replaced by a pointer to the field in A which references C. The reference in A is then replaced by a pointer to B’s reference to object C. The reference in B is finally replaced by the original value of x. This list is then traversed to update references to C. 2 Steele’s Incremental Mark-and-Compact Algorithm Steele has presented an incremental mark-and-compact technique that is designed for multi-processor systems consisting of one list-processing processor and one garbage collector processor [Ste75, Ste76].
Dijkstra’s write-barrier To simplify the proof of this algorithm the free-list is considered to be reachable and should also be marked. This implies that all new objects are allocated as grey or black, depending on the color of the head of the free list. Thus, a new object survives at least one cycle, even if it becomes unreachable before the end of it. To determine when the marking phase is over, the run-time stack is scanned for grey objects. If a grey object is found, the marking starts from that object.
Other techniques can often release some memory and then continue, but a copying collector gets stuck, since the GC cycle can not run to its end. Further, only half the heap can be used at any time, thus the memory requirement is doubled. 5 Generational Scavenging Generational garbage collectors are often fast, since only parts of the heap is collected at most invocations. However, most generational collectors have to collect the entire heap sometimes. ) The first two choices give a worse WCET than using the technique that is used to collect the generations, and the third give large and hard to predict memory usage.