E-book This edition enhances the print version with copious clickable links to algorithms, figures, original papers and definitions of technical terms. In addition, each index entry links back to where it was mentioned in the text, and each entry in the bibliography includes links back to where it was cited. Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental …. Skip to main content.
Start your free trial. Show and hide more. Table of contents Product information. Throughput costs of compaction Long-lived data Locality Limitations of mark-compact algorithms 4 Copying garbage collection 4. Which thread runs a finaliser? Can finalisers run concurrently with each other? Can finalisers access the object that became unreachable? When are finalised objects reclaimed? What happens if there is an error in a finaliser? Is there any guaranteed order to finalisation?
The finalisation race problem Finalisers and locks Finalisation in particular languages For further study Along with simple and traditional algorithms, the book covers state-of-the-art parallel, incremental, concurrent, and real-time garbage collection.
Algorithms and concepts are often described with pseudocode and illustrations. The nearly universal adoption of garbage collection by modern programming languages makes a thorough understanding of this topic essential for any programmer.
This authoritative handbook gives expert insight on how different collectors work as well as the various issues currently facing garbage collectors. Armed with this knowledge, programmers can confidently select and configure the many choices of garbage collectors. The e-book enhances the print versions with a rich colletion of hyperlinks to algorithms, figures, glossary entries, index item, original research papers and much more. It incorporates errata from the printing.
Chinese and Japanese translations were also published in mid
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