Power and energy are now recognized as first-order constraints in high-performance computing. Optimizing performance under power and energy bounds requires coordination across not only the software stack (compilers, operating and runtime systems, job schedulers) but also coordination with cooling systems and outwards to electrical suppliers. As we continue to move towards exascale and extreme scale computing, understanding how power translates to performance becomes an increasingly critical problem. The purpose of this workshop is to provide a forum where cutting-edge research in the above topic can be shared with others in the community. We welcome submissions addressing power aware computing issues. All papers will be subject to single-blind peer review, and the quality of standard papers is expected to be high.
Topics of particular interest include (but are not limited to):
Performance optimization across node, job, cluster and site power bounds.
Power/performance tradeoffs across accelerators, processors and DRAM.
Cooling/performance tradeoffs.
Translating budgetary bounds into power and energy bounds.
Efficient system design, from computer center to silicon
Effects of compiler optimizations on code power and energy efficiency
Power- and energy-aware job schedulers, runtime systems and operating systems.
Models of power and performance, from processors to computer centers.
Evaluations of hardware power and energy controls
05月29日
2017
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