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Shahnawaz Talpur
1.Beijing Institute of Technology, Beijing china 2. Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan

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Research on Dependable Ionizing Radiation Protection based on Model i* Tan Hai; Shahnawaz Talpur; Imran Ali Qureshi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The software’s unreliability mostly attributes to an erroneous analysis on the requirements done at the beginning. In this paper, we apply the tool of i* frame requirement modeling and build early requirement model against ionizing radiation. After finding out possible risks and corresponding solutions during the process of modeling analysis, we propose reasoning models against ionizing radiation. The radiation protection system  with  the  above models  can  figure out  the  purpose  of agents  related  to radiant source and provide normal service even when the environment software system is being interfered. It can serve the ecological and economical society with stability and development.  The model is divided into several sections. Section 1 gives the outline of the dependant software. Section 2 illustrates the  i* frame  technology. Section 3, 4 and 5 cover the topic of dependant security requirement analysis, SD&SR model on ionizing radiation respectively. Section 6 gives the conclusion. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2020
Instruction Pipeline Efficient Mechanism with maximum hit ratio Shahnawaz Talpur
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To achieve highest performance in rapidly growing advancement in multi-core technology, there is need to minimize the large gap between faster processor speed and memory. It becomes more critical issue when branch occurs with penalty of cache miss. Many researchers proposed different branch prediction, instruction perfecting methods and algorithms but the CPU pipeline performance couldn’t be the maximal. A prototype model has been designed in this paper which has no prediction for branch and no chance of CPU core to be idle. Analysis is carried out on the benchmarks suite and Transactional Slice (TS) has been proposed in contrast with traditional delay slot and dynamic prediction fetch branch. In proposed mechanism hit rate will be maximal.  Pin Tool is used to analyze the Transactional Slice with SPEC 2006 benchmark. DOI:  http://dx.doi.org/10.11591/telkomnika.v11i11.3216 
Intra-Inter Triplet Object Interaction Mechanism in Triplet-Based Hierarchical Interconnection Network Shahnawaz Talpur; Imran Ali Qureshi; Shahnawaz Farhan Khahro
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Object oriented languages usually avoid direct message passing, due to its complicated implementation, though that is the promising way to communicate in concurrently inherited objects. With the advancement in the high performance computing system, interaction between parallel application objects onto physical cores becomes one of the significant issues, which is not fully explored yet. In object oriented programming attribute data is included in objects and their state can be changed using the methods. Objects enable massage passing to other objects interacting with each other. Comprehensive problems can be molded by object-oriented methodology, and solves difficult program running object-oriented programs.Cores communicate with each other through communicator and groups in MPI, but in our reference architecture TBHIN (Triplet Based Hierarchical Interconnection Network), the cores are already faction in Triplets. We propose IITOIM Model to improve the performance with efficient intra-inter triplet cores communication mechanism between the objects in TBHIN. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2151
Co-Authors Imran Ali Qureshi Imran Ali Qureshi Shahnawaz Farhan Khahro Tan Hai