hide
Free keywords:
-
Abstract:
The first part of this paper surveys co-processor approaches for commodity
based clusters in general, not only with respect to raw performance, but also
in view of their system integration and power consumption. We then extend
previous work on a small GPU cluster by exploring the heterogeneous hardware
approach for a large-scale system with up to 160 nodes. Starting with a
conventional commodity based cluster we leverage the high bandwidth of graphics
processing units (GPUs) to increase the overall system bandwidth that is the
decisive performance factor in this scenario. Thus, even the addition of
low-end, out of date GPUs leads to improvements in both performance- and
power-related metrics.
