Power and energy are now recognized as first–order constraints in high–performance computing. Optimizing performance under power<br>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.<br>We are very excited to continue this traditional workshop with IPDPS and make it one of its kinds in the field of power–aware computing in HPC.<br>Scope:<br>Topics of particular interest include (but are not limited to):<br>Performance optimization across node, job, cluster and site power bounds.<br>Power/performance tradeoffs across accelerators, processors and DRAM.<br>Cooling/performance tradeoffs.<br>Translating budgetary bounds into power and energy bounds.<br>Efficient system design, from computer center to silicon<br>Effects of compiler optimizations on code power and energy efficiency<br>Power– and energy–aware job schedulers, runtime systems and operating systems.<br>Models of power and performance, from processors to computer centers.<br>Evaluations of hardware power and energy controls<br>
Abbrevation
HPPAC
City
Orlando
Country
United States
Deadline Paper
Start Date
End Date
Abstract