An Empirical Evaluation of AriDeM using Matrix Multiplication

Patrick Mukala
<span title="2013-12-02">2013</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4opirqn5wva43mypnaeerrydyy" style="color: black;">International Journal of Information and Network Security (IJINS)</a> </i> &nbsp;
The Von Neumann model has been used as a basis for sequential computation for decades. It is widely accepted that high performance computation is better achieved using parallel architectures and is seen as the basis for future computational architectures with the ever increasing need for high performance computation. We describe a new model of parallel computation known as the Arithmetic Deduction Model (AriDeM) which has some similarities with the Von Neumann. A theoretical evaluation of the
more &raquo; ... del is performed using matrix multiplication and compared with the Von Neumann model. Initial results indicate AriDeM to be more efficient in resources utilization.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijins.v2i6.4812">doi:10.11591/ijins.v2i6.4812</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6vhd4zwtnbihn3nzl5jp6upxi">fatcat:o6vhd4zwtnbihn3nzl5jp6upxi</a> </span>
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