Scheduling with implicit information in distributed systems
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Application Transformations for Energy and Performance-Aware Device Management
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
ALOHA packet system with and without slots and capture
ACM SIGCOMM Computer Communication Review
Cooperative I/O: a novel I/O semantics for energy-aware applications
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
THE ALOHA SYSTEM: another alternative for computer communications
AFIPS '70 (Fall) Proceedings of the November 17-19, 1970, fall joint computer conference
Inter-program optimizations for conserving disk energy
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Execution context optimization for disk energy
CASES '08 Proceedings of the 2008 international conference on Compilers, architectures and synthesis for embedded systems
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Compiler support for power and energy management has been shown to be effective in reducing overall power dissipation and energy consumption of individual programs, for instance through compiler-directed resource hibernation and dynamic frequency and voltage scaling (DVS). Typically, optimizing compilers perform intra-program analyses and optimizations, i.e., optimize the input program without the knowledge of other programs that may be running at the same time on the particular target machine. In this paper, we investigate the opportunities of compiling sets of programs together as a group with the goal of reducing overall disk energy. A preliminary study and simulation results for this inter-program compilation approach shows that significant disk energy can be saved (between 5% and 16%) over the individually, disk energy optimized programs for three benchmark applications.