Garbage collection: algorithms for automatic dynamic memory management
Garbage collection: algorithms for automatic dynamic memory management
Tuning garbage collection for reducing memory system energy in an embedded java environment
ACM Transactions on Embedded Computing Systems (TECS)
How java programs interact with virtual machines at the microarchitectural level
OOPSLA '03 Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programing, systems, languages, and applications
Myths and realities: the performance impact of garbage collection
Proceedings of the joint international conference on Measurement and modeling of computer systems
Impact of virtual execution environments on processor energy consumption and hardware adaptation
Proceedings of the 2nd international conference on Virtual execution environments
Using hardware performance monitors to understand the behavior of java applications
VM'04 Proceedings of the 3rd conference on Virtual Machine Research And Technology Symposium - Volume 3
Scratch-pad memory allocation without compiler support for java applications
CASES '07 Proceedings of the 2007 international conference on Compilers, architecture, and synthesis for embedded systems
Cache line reservation: exploring a scheme for cache-friendly object allocation
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Memory power optimization of Java-based embedded systems exploiting garbage collection information
Journal of Systems Architecture: the EUROMICRO Journal
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Modern embedded devices (e.g., PDAs, mobile phones) are now incorporating Java as a very popular implementation language in their designs. These new embedded systems include multiple applications that are dynamically launched by the user, which can produce very energy-hungry systems if the interactions between the applications and the garbage collectors (GCs) are not properly understood. In this paper we present a complete exploration, from an energy viewpoint, of the different possibilities of memory hierarchies for high-performance embedded systems when used by state-of-the-art GCs. Moreover, we explore the potential peformance improvement and energy reductions of using a scratchpad memory directed by the virtual machine to store critical code and data structures of the GCs; thus, enabling up to 40% performance improvements and 41% leakage reduction with respect to classical cache-based memory architectures. Our experimental results show that the key for an efficient low-power implementation of Java Virtual Machines (JVM) for high-performance embedded systems is the synergy between the GC choice, the memory architecture tuning, and the inclusion of power management schemes controlled by the JVM, exploiting knowledge of the used GC.