NDLI: GPUs as an opportunity for offloading garbage collection

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GPUs as an opportunity for offloading garbage collection

Content Provider	ACM Digital Library
Author	Joseph, Anthony D. Reames, Philip Morlan, Jeffrey Maas, Martin Kubiatowicz, John Asanović, Krste
Abstract	GPUs have become part of most commodity systems. Nonetheless, they are often underutilized when not executing graphics-intensive or special-purpose numerical computations, which are rare in consumer workloads. Emerging architectures, such as integrated CPU/GPU combinations, may create an opportunity to utilize these otherwise unused cycles for offloading traditional systems tasks. Garbage collection appears to be a particularly promising candidate for offloading, due to the popularity of managed languages on consumer devices. We investigate the challenges for offloading garbage collection to a GPU, by examining the performance trade-offs for the mark phase of a mark & sweep garbage collector. We present a theoretical analysis and an algorithm that demonstrates the feasibility of this approach. We also discuss a number of algorithmic design trade-offs required to leverage the strengths and capabilities of the GPU hardware. Our algorithm has been integrated into the Jikes RVM and we present promising performance results.
Starting Page	25
Ending Page	36
Page Count	12
File Format	PDF
ISBN	9781450313506
DOI	10.1145/2258996.2259002
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mark and sweep Apu Simt Gpu Parallel garbage collection
Content Type	Text
Resource Type	Article

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