Most developers take automatic garbage collection for granted. It’s just another amazing feature provided by our language run-times to make our jobs easier. But if you try to peek inside a modern garbage collector, it’s very difficult to see how they actually work. There are thousands of implementation details that will confuse you unless you already have a good understanding of what it’s trying t
Heap space analysis for garbage collected languages, by Elvira Albert, Samir Genaim, Miguel Gómez-Zamalloa: Accurately predicting the dynamic memory consumption (or heap space) of programs can be critical during software development. It is well-known that garbage collection (GC) complicates such problem. The peak heap consumption of a program is the maximum size of the data on the heap during its
Introduction Neither a borrower nor a lender be; For loan oft loses both itself and friend ... [Shakespeare, Hamlet, I. iii 75] The sharing of data structures can be efficient, because sharing can substitute for copying, but it creates ambiguity as to who is responsible for their management. This ambiguity is difficult to statically remove [Barth77] [Bloss89] [Chase87] [Hederman88] [Inoue88] [Jone
Leveled Garbage Collection by Guanshan Tong and Michael J. O'Donnell: Generational garbage collection (GGC) is one of the most popular garbage collection techniques. GGC gains a performance advantage by performing minor collections on the younger objects in the heap, reducing the number of major collections of the whole heap. A promotion policy determines when an object moves from the younger gene
Azul's GPGC[1] collector (which stands for Generational Pauseless Garbage Collector), included in its HotSpot-based JVM, is both parallel and concurrent. GPGC has been widely used in a number of production systems for several years now, and has been successful at removing or significantly reducing sensitivity to the factors that typically cause other concurrent collectors to pause. Factors that th
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