Shade: a fast instruction-set simulator for execution profiling
SIGMETRICS '94 Proceedings of the 1994 ACM SIGMETRICS conference on Measurement and modeling of computer systems
System-level power optimization: techniques and tools
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Quantifying the energy consumption of a pocket computer and a Java virtual machine
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Energy-driven integrated hardware-software optimizations using SimplePower
Proceedings of the 27th annual international symposium on Computer architecture
Gated-Vdd: a circuit technique to reduce leakage in deep-submicron cache memories
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Custom Memory Management Methodology: Exploration of Memory Organisation for Embedded Multimedia System Design
Design of High-Performance Microprocessor Circuits
Design of High-Performance Microprocessor Circuits
Programming for Wireless Devices with the Java 2 Platform, Micro Edition
Programming for Wireless Devices with the Java 2 Platform, Micro Edition
Energy savings through compression in embedded Java environments
Proceedings of the tenth international symposium on Hardware/software codesign
Energy behavior of java applications from the memory perspective
JVM'01 Proceedings of the 2001 Symposium on JavaTM Virtual Machine Research and Technology Symposium - Volume 1
Energy savings through compression in embedded Java environments
Proceedings of the tenth international symposium on Hardware/software codesign
Heap compression for memory-constrained Java environments
OOPSLA '03 Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programing, systems, languages, and applications
Exploiting frequent field values in java objects for reducing heap memory requirements
Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments
A survey of architectural techniques for DRAM power management
International Journal of High Performance Systems Architecture
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Limited energy and memory resources are important constraints in the design of an embedded system. Compression is an useful and widely employed mechanism to reduce the memory requirements of the system. As the leakage energy of a memory system increases with its size and because of the increasing contribution of leakage to overall system energy, compression also has a significant effect on reducing energy consumption. However, storing compressed data/instructions has a performance and energy overhead associated with decompression at runtime. The underlying compression algorithm, the corresponding implementation of the decompression and the ability to reuse decompressed information critically impact this overhead.In this paper, we explore the influence of compression on overall memory energy using a commercial embedded Java virtual machine (JVM) and a customized compression algorithm. Our results show that compression is effective in reducing energy even when considering the runtime decompression overheads for most applications.