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Bradford Scholars
Conference object . 2013
Data sources: Bradford Scholars
https://doi.org/10.1109/dfm.20...
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Data-Flow vs Control-Flow for Extreme Level Computing

Authors: Evripidou, Paraskevas; Kyriacou, Costas; Evripidou, Paraskevas; Kyriacou, Costas;

Data-Flow vs Control-Flow for Extreme Level Computing

Abstract

This paper challenges the current thinking for building High Performance Computing (HPC) Systems, which is currently based on the sequential computing also known as the von Neumann model, by proposing the use of Novel systems based on the Dynamic Data-Flow model of computation. The switch to Multi-core chips has brought the Parallel Processing into the mainstream. The computing industry and research community were forced to do this switch because they hit the Power and Memory walls. Will the same happen with HPC? The United States through its DARPA agency commissioned a study in 2007 to determine what kind of technologies will be needed to build an Exaflop computer. The head of the study was very pessimistic about the possibility of having an Exaflop computer in the foreseeable future. We believe that many of the findings that caused the pessimistic outlook were due to the limitations of the sequential model. A paradigm shift might be needed in order to achieve the affordable Exascale class Supercomputers.

Countries
Cyprus, United Kingdom
Related Organizations
Keywords

Microprocessor chips, Supercomputing, Supercomputing; Data-flow; HPC; Exascale, Supercomputers, High performance computing systems, Data transfer, Data-Flow, Exascale, Research communities, HPC, Parallel processing, Dataflow, Sequential computing, Data flow analysis

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green