Analysis and Design of an Abft and Parity-Checking Technique in High Performance Computing Systems

Abstract

We present a new approach to algorithm-based fault tolerance (ABFT) and parity-checking techniques in the design of high performance computing systems. The ABFT technique employs real convolution error-correcting codes to encode the input data. In order to reduce the round-off error from the output decoding process, systematic real convolution encoding is employed. This paper proposes an efficient method to detect the arithmetic errors using convolution codes at the output compared with an equivalent parity value derived from the input data. Number data processing errors are detected by comparing parity values associated with a convolution code. These comparable sets will be very close numerically, although not identical because of round-off error differences between the two parity generation processes. The effects of internal failures and round-off error are modeled by additive error sources located at the output of the processing block and input at threshold detector. This model combines the aggregate effects of errors and applies them to the respective outputs.

A Model for Scheduling of Electric Vehicles Charging in a Distribution Network using Multi-agent Model

“…A multi-agent system model is discussed in literature [15][16][17][18]21] for managing a distribution system comprising a large number of electric vehicles. The main reason is the use of the power system and, this agent modifies the program with the control and study of the network and informs them.…”

Effect of motivation, opportunity and ability on human resources information security management considering the roles of Attitudinal, behavioral and organizational factors

“…In addition, normative activation theory (NAM) is derived only from the heart and states that a person's socializing behavior is due to the activation of his or her personal norms. Accordingly, it seems that TPB and NAM alone may not be sufficient to explain human resource security behaviors [35]. Therefore, in this study, to prepare clear and measurable components for each MOA factor, structures of NAM and TPB theories as well as other variables, identified as indicators of MOA factors in existing models, have been used.…”

“…To emphasize the socio-psychological causes affecting the "motivation" factor, the present study considers the three main structures of NAM theory as three indicators of motivation. People usually go through a series of cognitive processes related to their motivation before deciding to start, maintain, or cancel an effort, and all three indices of AC, AR, and PN play an important role in this cognitive dimension of the motivation factor [35,36]. Attitude -from the TPB theory -is also accepted as the fourth indicator of motivation.…”

An Efficient Predictive Model for Probability of Genetic Diseases Transmission

“…One of these data model is the relational data model. The next model is the object-relational data models, which solve the predefined schema problem and well define different data formats using Entity attribute value (EAV) design, but still remains the problem of relationships between individuals [17,26]. The main objective of this article is to use data mining techniques for data clustering by K-means algorithm and combine it with the decision tree in order to predict the risk of transmitting genetic diseases.…”