In this work, we develop FastCollect, a parallel version of the generational mark-sweep garbage collector running on a graphics processing unit (GPU).
FastCollect is 4-5x faster than the Parallel Hotspot garbage collector and 42% faster than a previous GPU implementation. In addition, while the existing GPU ...
FastCollect: Offloading Generational. Garbage Collection to Integrated GPUs. Abhinav. Indian Institute of Technology (BHU), Varanasi abhinav.student.apm11 ...
People also ask
What is generational mode for garbage collection?
What are the disadvantages of generational garbage collection?
What is generational garbage collection in Python?
How to avoid garbage collection in Java?
FastCollect比并行热点垃圾收集器快4-5倍，比以前的GPU实现快42%。此外，虽然现有的GPU版本对内存的需求与计算单元的数量呈线性关系，但FastCollect的内存需求是固定的， ...
FastCollect: offloading generational garbage collection to integrated GPUs. Abhinav, R Nasre. Proceedings of the International Conference on Compilers ...
We identify dominant phases of garbage collection and study the viability of offloading them to the integrated GPU. We show that performance advantages are ...
This work investigates the challenges for offloading garbage collection to a GPU, by examining the performance trade-offs for the mark phase of a mark ...
In this paper, we consider two garbage collection policies to meet the goal of time consumption for a generational garbage collector when increase in objects ...
FastCollect: Offloading Generational Garbage Collection on Integrated GPUs. International Conference on Compilers, Architectures and Synthesis For Embedded ...
FastCollect: Offloading generational garbage collection to integrated GPUs. In Proceedings of the International. Conference on Compilers, Architectures and ...