Performance of a hardware-assisted real-time garbage collector

Schmidt, William; Nilsen, Kelvin

doi:10.1145/195473.195504

Cited by 42 publications

(15 citation statements)

References 12 publications

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“…The basic idea is kept while overhead of allocation detection and unnecessary collection is significantly reduced. Even hardware can be used to assist GC efficiency and reduce WCET bounds, as presented in [47].…”

Section: B Time-predictable Garbage Collectionmentioning

confidence: 99%

Overview of Real-Time Java Computing

Sun¹,

Zhang²

2013

Journal of Computing Science and Engineering

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This paper presents a complete survey of recent techniques that are applied in the field of real-time Java computing. It focuses on the issues that are especially important for hard real-time applications, which include time predictable garbage collection, worst-case execution time analysis of Java programs, real-time Java threads scheduling and compiler techniques designed for real-time purpose. It also evaluates experimental frameworks that can be used for researching real-time Java. This overview is expected to help researchers understand the state-of-the-art and advance the research in real-time Java computing.

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Section: B Time-predictable Garbage Collectionmentioning

confidence: 99%

Overview of Real-Time Java Computing

Sun¹,

Zhang²

2013

Journal of Computing Science and Engineering

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“…In Baker [1978], a software barrier is proposed that redirects writes to the correct location, even if the object is being currently copied. The software solution however has a significant overhead [Schmidt and Nilsen 1994]. Smaller overheads were obtained by implementing the redirection using the memory hardware [Schmidt and Nilsen 1994].…”

Section: Relative Costs Of Gc Cycle Phasesmentioning

confidence: 99%

“…The software solution however has a significant overhead [Schmidt and Nilsen 1994]. Smaller overheads were obtained by implementing the redirection using the memory hardware [Schmidt and Nilsen 1994]. A similar solution for copying GCs is always to access old copies of objects and store modifications to a mutation log, which can later be replayed by the collector [Nettles and O'Toole 1993].…”

Section: Relative Costs Of Gc Cycle Phasesmentioning

confidence: 99%

Scheduling real-time garbage collection on uniprocessors

Kalibera

Pizlo

Hosking

et al. 2011

ACM Trans. Comput. Syst.

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Managed languages such as Java and C# are increasingly being considered for hard real-time applications because of their productivity and software engineering advantages. Automatic memory management, or garbage collection, is a key enabler for robust, reusable libraries, yet remains a challenge for analysis and implementation of real-time execution environments. This paper comprehensively compares leading approaches to hard real-time garbage collection. There are many design decisions involved in selecting a real-time garbage collection algorithm. For time-based garbage collectors on uni-processors one must choose whether to use periodic, slack-based or hybrid scheduling. A significant impediment to valid experimental comparison of such choices is that commercial implementations use completely different proprietary infrastructures. We present Minuteman, a framework for experimenting with real-time collection algorithms in the context of a high-performance execution environment for real-time Java. We provide the first comparison of the approaches, both experimentally using realistic workloads, and analytically in terms of schedulability.

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“…The OSM redirects field access to the correct location for an object that is currently being copied. [45] extends the OSM to a GC memory module where a local microprocessor performs the GC work. In the paper the performance of standard C++ dynamic memory management is compared against garbage collected C++.…”

Section: Garbage Collectionmentioning

confidence: 99%