Garbage Collection via Array Chunk References
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Solution Overview
Problem
Current garbage collection methods in virtual machine environments face inefficiencies when handling object arrays, particularly in dividing and processing these arrays to identify live and unused objects, leading to suboptimal performance and resource management.
Innovation Solution
The approach involves generating array chunk references that include chunk start bits and chunk length bits, allowing for efficient division of object arrays into smaller chunks and concurrent processing by multiple garbage collector threads, enabling effective load balancing and garbage collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If object arrays are divided into smaller chunks for processing, then garbage collection efficiency is improved through parallel processing, but the complexity of managing array chunk references increases
Solution Approach 1:
The patent divides object arrays into smaller array chunks and creates corresponding array chunk references that encode the start address and length of each chunk. This segmentation enables multiple garbage collector threads to process different chunks in parallel, improving garbage collection efficiency while the reference structure manages the complexity of divided processing.
2Productivity
If multiple garbage collector threads process array chunks concurrently, then load balancing is improved, but the overhead of coordinating and managing multiple threads increases
Solution Approach 1:
The patent introduces array chunk references as an intermediary data structure that encapsulates array chunk information (start address and length). These references serve as a mediator between the object array and multiple garbage collector threads, allowing threads to independently process chunks without direct coordination overhead, thus improving load balancing while managing thread complexity.
3Measurement precision
If array chunk references store detailed information about each chunk, then processing precision is improved, but the memory overhead of storing reference information increases
Solution Approach 1:
The patent changes the parameter representation in array chunk references by storing only essential information (start address and length) rather than complete array chunk metadata. This parameter optimization maintains sufficient processing precision for garbage collection while reducing the memory overhead associated with storing detailed reference information for each array chunk.
Data Source
AI summary
Techniques for performing garbage collection on an object array using array chunk references is described. A garbage collector (GC) thread identifies an object array to be processed. The GC thread divides the object array into array chunks. The GC thread generates array chunk references corresponding respectively to the array chunks. Each array chunk reference comprises: (a) chunk start bits representing a memory address of a start of a corresponding array chunk, and (b) chunk length bits representing a chunk length of the corresponding array chunk. The GC thread pushes the array chunk references onto the processing stack. A single processing stack concurrently stores multiple array chunk references, associated with a same object array. One or more of the array chunk references, that are associated with the same object array and stored on the processing stack, may be distributed to other GC threads for processing.