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Relational Profiling: Enabling Thread-Level Parallelism in Virtual Machines
, 2000
"... Virtual machine service threads can perform many tasks in parallel with program execution such as garbage collection, dynamic compilation, and profile collection and analysis. Hardware-assisted profiling is essential for providing service threads with needed information in a flexible and efficient w ..."
Abstract
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Cited by 28 (1 self)
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Virtual machine service threads can perform many tasks in parallel with program execution such as garbage collection, dynamic compilation, and profile collection and analysis. Hardware-assisted profiling is essential for providing service threads with needed information in a flexible and efficient way. A relational profiling architecture (RPA) is proposed for meeting this goal.
Tuning Garbage Collection in an Embedded Java Environment
, 2002
"... Java is being widely adopted as one of the software platforms for the seamless integration of diverse computing devices. Over the last year, there has been great momentum in adopting Java technology in devices such as cell-phones, PDAs, and pagers where optimizing energy consumption is critical. Sin ..."
Abstract
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Cited by 21 (12 self)
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Java is being widely adopted as one of the software platforms for the seamless integration of diverse computing devices. Over the last year, there has been great momentum in adopting Java technology in devices such as cell-phones, PDAs, and pagers where optimizing energy consumption is critical. Since, traditionally, the Java virtual machine (JVM), the cornerstone of Java technology, is tuned for performance, taking into account energy consumption requires re-evaluation, and possibly re-design of the virtual machine. This motivates us to tune specific components of the virtual machine for a battery-operated architecture. As embedded JVMs are designed to run for long periods of time on limitedmemory embedded systems, creating and managing Java objects is of critical importance. The garbage collector (GC) is an important part of the JVM responsible for the automatic reclamation of unused memory. This paper shows that the GC is not only important for limited-memory systems but also for energy-constrained architectures. In particular, we present a GC-controlled leakage energy optimization technique that shuts off memory banks that do not hold live data. A variety of parameters, such as bank size, the garbage collection frequency, object allocation style, compaction style, and compaction frequency, are tuned for energy saving.
Tuning garbage collection for reducing memory system energy in an embedded Java environment
- ACM Transactions on Embedded Computing Systems
, 2002
"... Java has been widely adopted as one of the software platforms for the seamless integration of diverse computing devices. Over the last year, there has been great momentum in adopting Java technology in devices such as cellphones, PDAs, and pagers where optimizing energy consumption is critical. Sinc ..."
Abstract
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Cited by 6 (0 self)
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Java has been widely adopted as one of the software platforms for the seamless integration of diverse computing devices. Over the last year, there has been great momentum in adopting Java technology in devices such as cellphones, PDAs, and pagers where optimizing energy consumption is critical. Since, traditionally, the Java virtual machine (JVM), the cornerstone of Java technology, is tuned for performance, taking into account energy consumption requires reevaluation, and possibly redesign of the virtual machine. This motivates us to tune specific components of the virtual machine for a battery-operated architecture. As embedded JVMs are designed to run for long periods of time on limited-memory embedded systems, creating and managing Java objects is of critical importance. The garbage collector (GC) is an important part of the JVM responsible for the automatic reclamation of unused memory. This article shows that the GC is not only important for limited-memory systems but also for energy-constrained architectures. This article focuses on tuning the GC to reduce energy consumption in a multibanked memory architecture. Tuning the GC is important not because it consumes a sizeable portion of overall energy during execution, but because it influences the energy consumed in the memory during application execution. In particular, we present a GC-controlled leakage energy optimization technique

