The article discusses an RPython benchmark that measures the allocation speed of objects using the RPython garbage collector (GC). An example object class is defined, with the size determined by its integer field and necessary GC metadata. To prevent optimization removal, two instances are maintained simultaneously during the benchmark. The author confirms the performance metrics, noting the allocation process uses an average of 11 instructions and 2.1 cycles, demonstrating efficient GC performance against the Boehm GC, highlighting a marked contrast in their operational complexities regarding object movement and allocation strategies.
RTyped objects in RPython require 16 bytes on a 64-bit architecture and the GC can allocate in a tight loop efficiently, achieving over 5 instructions per cycle.
The benchmark demonstrated that the RPython GC can allocate objects quickly, averaging about 11 instructions and 2.1 cycles per allocation, showcasing its performance.
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