Dataflow Computing: A Trend in HPC
Date Issued
2013
Author(s)
Nenad Anchev
Blagoj Atanasovski
Sasko Ristov
Marjan Gusev
Abstract
There are several approaches used for high
performance computing. One is a computer cluster of tightly
connected computers linked over a LAN to appear as a single
system. Another one is Grid computing as a federation of loosely
coupled computer resources from multiple locations to be used
when needed. A number of problems exist that the von Neumann
principle of control flow yields poor results compared to a data
flow implementation of the same problem. Recent advances in
the area of creating accessible dataflow engines give us a reason
to revisit this idea. In this paper, we give an overview of current
available computing types for high performance and compare
their usability for certain problems against a dataflow
implementation that uses FPGAs.
performance computing. One is a computer cluster of tightly
connected computers linked over a LAN to appear as a single
system. Another one is Grid computing as a federation of loosely
coupled computer resources from multiple locations to be used
when needed. A number of problems exist that the von Neumann
principle of control flow yields poor results compared to a data
flow implementation of the same problem. Recent advances in
the area of creating accessible dataflow engines give us a reason
to revisit this idea. In this paper, we give an overview of current
available computing types for high performance and compare
their usability for certain problems against a dataflow
implementation that uses FPGAs.
Subjects
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