The 13th Workshop on High-Performance, Power-Aware Computing (HPPAC'17)
To be held Monday, May 29th, 2017
in conjunction with
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.

We are very excited to continue this workshop in conjunction with IPDPS as a leading venue for research in power aware computing in HPC.  


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


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. As such, while we welcome full (10 page including references) papers as in previous years, we are now also soliciting short papers (4 pages max not including references).  While both should conform to the list of topics below, short papers will be judged primarily on their interest to the community.  As such, these may be position papers, initial results, open problems, software announcements, or interesting work that does not reach the level of a full-paper