Exascale computation is the next target of high performance
computing. In the push to create exascale computing platforms,
simply increasing the number of hardware devices is
not an acceptable option given the limitations of power consumption,
heat dissipation, and programming models which
are designed for current hardware platforms. Instead, new
hardware technologies, coupled with improved programming
abstractions and more autonomous runtime systems, are required
to achieve this goal.
This position paper presents the design of a new runtime
for a new heterogeneous hardware platform being developed
to explore energy efficient, high performance computing. By
combining a number of different technologies, this framework
will both simplify the programming of current and future
HPC applications, as well as automating the scheduling
of data and computation across this new hardware platform.
In particular, this work explores the use of FPGAs to achieve
both the power and performance goals of exascale, as well as
utilising the runtime to automatically effect dynamic configuration
and reconfiguration of these platforms.