Adding Hardware Support to the HotSpot Virtual Machine for Domain Specific Applications

Ha, Yajun; Hipik, Radovan; Vernalde, Serge; Verkest, D.; Engels, M.; Lauwereins, Rudy; Man, H. De

doi:10.1007/3-540-46117-5_125

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…Instead, when targeting such devices, current approaches generally focus towards minimizing the size of the runtime environment, core classes or even application code, such as Java Micro Edtion Platform [17] or prefer to load into memory only the code that is actually used, at a method level granularity, such as JUCE [1]. Optimizations of mobile applications, such as the ones described by Krintz, et.…”

Section: Related Workmentioning

confidence: 99%

“…We exploit the locality property of programs in the same way as the HotSpot technique does. Whether implemented fully in software [8] or in software and partly in hardware [16,17], this technique speeds up Java programs by detecting the most used pieces of code (hotspots) of an executing program and compiling them in native code for faster execution. In another study related to HotSpots, Hu et al use them in [25] to achieve leakage energy reduction for instruction caches.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Using code collection to support large applications on mobile devices

Popa

Raiciu

Teodorescu

et al. 2004

Proceedings of the 10th Annual International Conference on Mobile Computing and Networking

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The progress of mobile device technology unfolds a new spectrum of applications that challenges conventional infrastructure models. Most of these devices are perceived by their users as "appliances" rather than computers and accordingly the application management should be done transparently by the underlying system unlike classic applications managed explicitly by the user.Memory management on such devices should consider new types of mobile applications involving code mobility such as mobile agents, active networks and context aware applications. This paper describes a new code management technique, called "code collection" and proposes a specific code collection algorithm, the Adaptive Code Collection Algorithm (ACCAL). Code collection is a mechanism for transparently loading and discarding application components on mobile devices at runtime that is designed to permit very low memory usage and at the same time good performance by focusing memory usage on the hotspots of the application. To achieve these goals, ACCAL uses properties specific to executable code and enhances conventional data management methods such as garbage collection and caching. The results show that fine-grained code collection allows large applications to execute by using significantly less memory while inducing small execution time overhead.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Using code collection to support large applications on mobile devices

Popa

Raiciu

Teodorescu

et al. 2004

Proceedings of the 10th Annual International Conference on Mobile Computing and Networking

View full text Add to dashboard Cite

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“…Depending on different JVMs, these software components can be implemented in different ways. In this paper, the most widely used and state-of-the-art JVM, Sun'sHotspot[18], is chosen as our experimental VM. The major VM's software components are shown as follows.…”

mentioning

confidence: 99%

The power-saving approach by critical section detections of multi-cores embedded systems

Chen

Hou

2010

2010 2nd International Conference on Mechanical and Electronics Engineering

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the use of multi-threading and multi-cores leads to performance improvements of embedded systems. On the other hand, the power consumption increases due to the use of more processors. The energy wastages could be critical in embedded systems with limited resources. Therefore, the issues of performance and power-saving are important for multithreaded applications which are executed on multi-cores embedded systems. The dynamic CPU frequency leveling which is based on critical section detections is proposed in this paper. Based on this approach, the energy wastages are reduced significantly with the maintenances of performance at the same time. The results indicate the battery life of multi cores embedded systems can be extended by proposed power saving approach effectively.

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“…Also, recently some work has been conducted to build customized accelerators to speed up the execution of Java bytecode [6]. In this case only a small part of the bytecode execution is implemented in hardware and the main execution is done on a conventional processor.…”

Section: Related Workmentioning

confidence: 99%

Hardware Based Online Profiling in AMIDAR Processors

Gatzka

Hochberger

19th IEEE International Parallel and Distributed Processing Symposium

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Dynamically reconfigurable architectures offer the opportunity to migrate software into hardware functional units at runtime. Architectures derived from the AMI-DAR model exhibit such possibilities. Yet, the question has to be answered, which parts of the running application should be transformed into hardware. The migration of complete methods or procedures into hardware is often not feasible. In this contribution we show a hardware circuit that enables the processor to collect an execution profile of Java methods with a high resolution. We also show, how this profile information can be used to make reasonable choices for candidate instruction sequences.

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Adding Hardware Support to the HotSpot Virtual Machine for Domain Specific Applications

Cited by 10 publications

References 1 publication

Using code collection to support large applications on mobile devices

Using code collection to support large applications on mobile devices

The power-saving approach by critical section detections of multi-cores embedded systems

Hardware Based Online Profiling in AMIDAR Processors

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