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Restricted Boltzmann Machines are artificial neural networks used in many types of statistical classification. In this work we present the architecture and implementation of such a neural network for fast recognition of hand-written digits. We use fixed and floating point arithmetic for minimizing the required hardware resources, and the use of pipeline results to a processing rate of more than 1...
In the era of cloud computing and storage, high performance servers are used for achieving improved accuracy in various application areas. Although local processing is viable in many cases, collecting data from multiple sources and processing them in a server results to optimum parameters estimation for achieving the best possible performance in terms of accuracy. In this work, we present the case...
Solid-state drives use non-volatile memories for storing and retrieving information in the form of sectors and/or pages and demonstrate better performance than hard disks. In many cases, the maximum IO performance of the used memory technology is not achieved due to limitations imposed by the software device driver that interfaces the storage card with the hosts???s operating system. Today's computing...
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