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Journal articles on the topic 'Computer architecture. Computer organization'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Stojcev, M. "Computer Organization and Architecture." Microelectronics Journal 31, no. 5 (2000): 375–76. http://dx.doi.org/10.1016/s0026-2692(99)00155-x.

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2

Kaiser, Marcus. "Brain architecture: a design for natural computation." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1861 (2007): 3033–45. http://dx.doi.org/10.1098/rsta.2007.0007.

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Fifty years ago, John von Neumann compared the architecture of the brain with that of the computers he invented and which are still in use today. In those days, the organization of computers was based on concepts of brain organization. Here, we give an update on current results on the global organization of neural systems. For neural systems, we outline how the spatial and topological architecture of neuronal and cortical networks facilitates robustness against failures, fast processing and balanced network activation. Finally, we discuss mechanisms of self-organization for such architectures. After all, the organization of the brain might again inspire computer architecture.

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3

Lorenzen, Torben, Abdul Sattar, and Lee Mondshein. "Tools for computer architecture and organization." ACM Inroads 2, no. 1 (2011): 29–30. http://dx.doi.org/10.1145/1929887.1929901.

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4

Radivojevic, Zaharije, Zarko Stanisavljevic, and Marija Punt. "Configurable simulator for computer architecture and organization." Computer Applications in Engineering Education 26, no. 5 (2018): 1711–24. http://dx.doi.org/10.1002/cae.22034.

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5

Al-Fedaghi, Sabah. "Conceptual Modeling for Computer Organization and Architecture." Journal of Computer Science 17, no. 2 (2021): 123–34. http://dx.doi.org/10.3844/jcssp.2021.123.134.

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6

Magagnosc, David. "Simulation in computer organization." ACM SIGCSE Bulletin 26, no. 1 (1994): 178–82. http://dx.doi.org/10.1145/191033.191100.

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7

Misev, Anastas, and Marjan Gusev. "Simulators for courses in advance computer architecture." Facta universitatis - series: Electronics and Energetics 18, no. 2 (2005): 237–52. http://dx.doi.org/10.2298/fuee0502237m.

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The usage of simulator in teaching computer architecture courses has proven to be the most acceptable way, especially when the simulators offer rich graphical and visual representation of the architecture. In this paper we present several simulators used to teach ILP (Instruction Level of Parallelism) courses. The simulators cover wide area of concepts such as internal logic organization, datapath, control, memory behavior, register renaming, branch prediction, and overall out of order execution. Special dedicated simulators cover details in internal organization like Tomasulo approach and scoreboard for organization of reservation stations. This innovative approach in laboratory exercises is used for advanced ILP course.

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8

Cassel, Lillian (Boots), Mark Holliday, Deepak Kumar, et al. "Distributed expertise for teaching computer organization & architecture." ACM SIGCSE Bulletin 33, no. 2 (2001): 111–26. http://dx.doi.org/10.1145/571922.571965.

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9

Prasad, P. W. C., Abeer Alsadoon, Azam Beg, and Anthony Chan. "Using simulators for teaching computer organization and architecture." Computer Applications in Engineering Education 24, no. 2 (2015): 215–24. http://dx.doi.org/10.1002/cae.21699.

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10

Zhang, Xuesong, Ken Surendran, and Ming Wang. "A computer organization course project." ACM SIGCSE Bulletin 36, no. 2 (2004): 68–71. http://dx.doi.org/10.1145/1024338.1024375.

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11

Waguespack, Leslie J. "A structural computer system resource model for teaching computer organization." ACM SIGCSE Bulletin 17, no. 1 (1985): 63–67. http://dx.doi.org/10.1145/323275.323289.

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12

Nikolic, Bosko, Nenad Grbanovic, and Jovan Djordjevic. "The visual simulators for architecture and computer organization learning." Journal of Automatic Control 19, no. 1 (2009): 31–34. http://dx.doi.org/10.2298/jac0901031n.

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The paper proposes a method of an effective distance learning of architecture and computer organization. The proposed method is based on a software system that is possible to be applied in any course in this field. Within this system students are enabled to observe simulation of already created computer systems. The system provides creation and simulation of switch systems, too.

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13

Quốc Khánh, Nguyễn. "Design and organization of teaching online module computer architecture." Journal of Science, Educational Science 62, no. 1 (2017): 52–64. http://dx.doi.org/10.18173/2354-1075.2017-0006.

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14

Wolffe, Gregory S., William Yurcik, Hugh Osborne, and Mark A. Holliday. "Teaching computer organization/architecture with limited resources using simulators." ACM SIGCSE Bulletin 34, no. 1 (2002): 176–80. http://dx.doi.org/10.1145/563517.563408.

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15

Skrien, Dale. "CPU Sim a computer simulator for use in an introductory computer organization-architecture class." Journal of Computing in Higher Education 6, no. 1 (1994): 3–13. http://dx.doi.org/10.1007/bf03035480.

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16

Nadi, Najib. "Simulation programs for studying computer organization." ACM SIGCSE Bulletin 28, SI (1996): 233. http://dx.doi.org/10.1145/237477.237678.

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17

Suhaimi, Suhazlan. "Education 4.0: The Impact of Computer Architecture and Organization Course on Students’ Computer Anxiety and Computer Self-Efficacy." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 6 (2019): 3022–25. http://dx.doi.org/10.30534/ijatcse/2019/57862019.

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18

Al-Aubidy, Dr Kasim M. "Teaching Computer Organization and Architecture Using Simulation and FPGA Applications." Journal of Computer Science 3, no. 8 (2007): 624–32. http://dx.doi.org/10.3844/jcssp.2007.624.632.

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19

Ristov, Sasko. "Using EDUCache Simulator for the Computer Architecture and Organization Course." International Journal of Engineering Pedagogy (iJEP) 3, no. 3 (2013): 47. http://dx.doi.org/10.3991/ijep.v3i3.2784.

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20

Barua, S. "An interactive multimedia system on "computer architecture, organization, and design"." IEEE Transactions on Education 44, no. 1 (2001): 41–46. http://dx.doi.org/10.1109/13.912709.

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21

Garcia, M. Isabel, Santiago Rodriguez, Antonio Perez, and Antonio Garcia. "p88110: A Graphical Simulator for Computer Architecture and Organization Courses." IEEE Transactions on Education 52, no. 2 (2009): 248–56. http://dx.doi.org/10.1109/te.2008.927690.

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22

Matick, R. E. "Impact of memory systems on computer architecture and system organization." IBM Systems Journal 25, no. 3.4 (1986): 274–305. http://dx.doi.org/10.1147/sj.253.0274.

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23

Asaad, Renas Rajab. "A Study on Instruction Formats on Computer Organization and Architecture." ICONTECH INTERNATIONAL JOURNAL 5, no. 2 (2021): 18–24. http://dx.doi.org/10.46291/icontechvol5iss2pp18-24.

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In this article, we'll learn about the concepts of instruction organized in computer organization. On the premise of accessibility of ALU operands sorts of CPU organization is moreover endorsed in this article. When the constructing agent forms an Instruction it changes over the instruction from its memory helpers shape to standard machine language format called the "Instruction organize". Within the preparation of change, the constructing agent must decide the sort of instruction, change over typical names and express documentation to a base/displacement organize, decide the lengths of certain operands, and parse any strict and constants. An instruction arrangement characterizes the format of bits of instruction, in terms of its constituent parts. An instruction arrangement must incorporate an opcode and verifiably or unequivocally, zero or more operands. Each unequivocal operand is referenced utilizing one of tending to modes. Arrange must, certainly or unequivocally, show tending to the mode for each operand. For most instruction sets, more than on instruction used.

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24

Frieze, Carol, and Lenore Blum. "Building an effective computer science student organization." ACM SIGCSE Bulletin 34, no. 2 (2002): 74–78. http://dx.doi.org/10.1145/543812.543835.

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25

Iyamu, Tiko. "A framework for developing and implementing the enterprise technical architecture." Computer Science and Information Systems 9, no. 1 (2012): 189–206. http://dx.doi.org/10.2298/csis101103040i.

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Organizations build, buy and reuse different types of technology with the intention to addressing their organizational needs, challenges and for competitive advantage. Unfortunately, the means is not the end. Instead, in some ways, it leads to complications and complexities, and more importantly, consumes more resources. Some organizations have adopted the technical architecture approach to address the challenges posed by technology deployment. The technical architecture is intended to address aspects, from strategic planning to implementation of technology infrastructures. This is to consistently effect significant technological change within the environment. The technical architecture approach facilitates and enables prioritization of analysis, development and implementation, which are based on value added business requirements and vision. It therefore allows the organization to proceed at its own pace while progressing at the same time. The paper presents model which reflects the consistent approach that adaptive enterprises could employ to build, maintain, and apply technical architecture in the computing environment. The model emphasizes a holistic approach to technical architecture deployment in the organization.

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26

Djordjevic, J., B. Nikolic, and A. Milenkovic. "Flexible Web-Based Educational System for Teaching Computer Architecture and Organization." IEEE Transactions on Education 48, no. 2 (2005): 264–73. http://dx.doi.org/10.1109/te.2004.842918.

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27

Shelburne, Brian. "Teaching computer organization using a PDP-8 simulator." ACM SIGCSE Bulletin 35, no. 1 (2003): 69–73. http://dx.doi.org/10.1145/792548.611935.

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28

Wenner, Patricia. "The laboratory component of a computer organization course." ACM SIGCSE Bulletin 22, no. 1 (1990): 197–200. http://dx.doi.org/10.1145/319059.323451.

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29

Scragg, Greg W. "Most computer organization courses are built upside down." ACM SIGCSE Bulletin 23, no. 1 (1991): 341–46. http://dx.doi.org/10.1145/107005.107079.

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30

Fekete, Alan. "Enhancing generic skills in the computer organization course." ACM SIGCSE Bulletin 27, no. 1 (1995): 273–77. http://dx.doi.org/10.1145/199691.199817.

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31

Pujawan, Kadek Agus Hendra. "Pengembangan Multimedia Interaktif Model Games untuk Meningkatkan Respon Mahasiswa pada Mata Kuliah Organisasi dan Arsitektur Komputer." International Journal of Natural Science and Engineering 2, no. 1 (2018): 20. http://dx.doi.org/10.23887/ijnse.v2i1.13909.

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The aims of this study were (1) to create an interactive multimedia by using games which is proper used by Politeknik Ganesha Guru students in computer organization and architecture course. (2) to know the feasibility level of interactive multimedia by using games according to content expert, media expert and learning design expert in computer organization and architecture course. (3) to know the students’ response to the development of interactive multimedia by using games in computer organization and architecture course. This study used Dick and Carey as the development model which invoved first semester students of Politeknik Ganesha Guru in Informatics Management Study Program. Based on the result of the data analysis from the content feasibility aspect made by the content expert indicated that the product is in accordance with the SAP of Computer Organization and Architecture courses. Tests conducted by media experts obtained a calculation result of 87% which is being in good qualification. Tests conducted by the design of learning experts obtained a calculation result of 88% which are in good qualification. The user/lecturer gave a good response. Field trials conducted got a result of 90% calculation which are in excellent qualification

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32

Mabry, Sibylle. "Driving IT Architecture Innovation." International Journal of E-Adoption 2, no. 2 (2010): 1–18. http://dx.doi.org/10.4018/jea.2010040101.

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The spotlight on business innovation in growth-oriented organizations has never been hotter. Information systems (IS) innovation, in particular, has become the main focus for many businesses and their CIOs because of its potential for business agility and competitiveness. However, creating a culture that can effectively exploit the innovative forces of an organization is challenging, and no shared guidelines exist. The purpose here is to examine empirically how the competing forces of organizational cultures in tandem with senior executives constructively influence the innovative efforts of organizations. Central to this investigation is the adoption of an IS architecture (SOA) whose implementation may entail radical transformation of traditional business patterns. Data were collected from U.S. top IS executives, and the results suggest that the adopters of SOA (45%) are organizations whose executives embrace certain collaborative behavior, which, in people and progress-oriented cultures, seems to be a catalyst for change and adoption of transformational IS architecture.

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33

GIBSON, MICHAEL L., and CHARLES A. SNYDER. "COMPUTER AIDED SOFTWARE ENGINEERING: FACILITATING THE PATH FOR TRUE SOFTWARE AND KNOWLEDGE ENGINEERING." International Journal of Software Engineering and Knowledge Engineering 01, no. 01 (1991): 99–114. http://dx.doi.org/10.1142/s0218194091000093.

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An emerging enterprise-wide orientation evidenced by comprehensive enterprise modeling supported by a technological architecture that includes computer aided software engineering (CASE) tools may empower knowledge and software engineers greater than ever before. An enterprise-wide orientation seeks to carry the strategy of an organization throughout its operations. Enterprise modeling makes it possible to have this panoramic view of the enterprise. An advanced technological architecture that includes CASE empowers enterprise functional personnel, knowledge engineers, and software engineers with the methodological and technological platform required to produce a comprehensive enterprise model. Current environmental trends are influencing how well organizations implement this enterprise-wide orientation, modeling perspective, and the methodological and technological platform.

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34

Jipping, Michael J., Sara Henry, Kathleen Ludewig, and Leslie Tableman. "How to integrate FPGAs into a computer organization course." ACM SIGCSE Bulletin 38, no. 1 (2006): 234–38. http://dx.doi.org/10.1145/1124706.1121414.

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35

Smith, Wayne D. "A hypothetical ALU for use in teaching computer organization." ACM SIGCSE Bulletin 17, no. 1 (1985): 56–62. http://dx.doi.org/10.1145/323275.323288.

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36

Donaldson, John L. "MicMac: a microprogram simulator for courses in computer organization." ACM SIGCSE Bulletin 19, no. 1 (1987): 428–31. http://dx.doi.org/10.1145/31726.31800.

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37

A.V., Chistyakov. "On improving the efficiency of mathematical modeling of the problem of stability of construction." Artificial Intelligence 25, no. 3 (2020): 27–36. http://dx.doi.org/10.15407/jai2020.03.027.

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Algorithmic software for mathematical modeling of structural stability is considered, which is reduced to solving a partial generalized eigenvalues problem of sparse matrices, with automatic parallelization of calculations on modern parallel computers with graphics processors. Peculiarities of realization of parallel algorithms for different structures of sparse matrices are presented. The times of solving the problem of stability of composite materialsusing a three-dimensional model of "finite size fibers" on computers of different architectures are given. In mathematical modeling of physical and technical processes in many cases there is a need to solve problems of algebraic problem of eigenvalues (APVZ) with sparse matrices of large volumes. In particular, such problems arise in the analysis of the strength of structures in civil and industrial construction, aircraft construction, electric welding, etc. The solving to these problems is to determine the eigenvalues and eigenvectors of sparse matrices of different structure. The efficiency of solving these problems largely depends on the effectiveness of mathematical modeling of the problem as a whole. Continuous growth of task parameters, calculation of more complete models of objects and processes on computers require an increase in computer productivity. High-performance computing requirements are far ahead of traditional parallel computing, even with multicore processors. High-performance computing requirements are far ahead of traditional parallel computing, even with multicore processors. Today, this problem is solved by using powerful supercomputers of hybrid architecture, such as computers with multicore processors (CPUs) and graphics processors (GPUs), which combine MIMD and SIMD architectures. But the potential of high-performance computers can be used to the fullest only with algorithmic software that takes into account both the properties of the task and the features of the hybrid architecture. Complicating the architecture of modern high-performance supercomputers of hybrid architecture, which are actively used for mathematical modeling (increasing the number of computer processors and cores, different types of computer memory, different programming technologies, etc.) means a significant complication of efficient use of these resources in creating parallel algorithms and programs. here are problems with the creation of algorithmic software with automatic execution of stages of work, which are associated with the efficient use of computing resources, ways to store and process sparse matrices, analysis of the reliability of computer results. This makes it possible to significantly increase the efficiency of mathematical modeling of practical problems on modern high-performance computers, as well as free users from the problems of parallelization of complex problems. he developed algorithmic software automatically implements all stages of parallel computing and processing of sparse matrices on a hybrid computer. It was used at the Institute of Mechanics named after S.P. Tymoshenko NAS of Ukraine in modeling the strength problems of composite material. A significant improvement in the time characteristics of mathematical modeling was obtained. Problems of mathematical modeling of the properties of composite materials has an important role in designing the processes of deformation and destruction of products in various subject areas. Algorithmic software for mathematical modeling of structural stability is considered, which is reduced to solving a partial generalized problem of eigen values of sparse matrices of different structure of large orders, with automatic parallelization of calculations on modern parallel computers with graphics processors. The main methodological principles and features of implementation of parallel algorithms for different structures of sparse matrices are presented, which ensure effective implementation of multilevel parallelism of a hybrid system and reduce data exchange time during the computational process. As an example of these approaches, a hybrid algorithm of the iteration method in subspace for tape and block-diagonal matrices with a frame for computers of hybrid architecture is given. Peculiarities of data decomposition for matrices of profile structure at realization of parallel algorithms are considered. The proposed approach provides automatic determination of the required topology of the hybrid computer and the optimal amount of resources for the organization of an efficient computational process. The results of testing the developed algorithmic software for problems from the collection of the University of Florida, as well as the times of solving the problem of stability of composite materials using a three-dimensional model of "finite size fibers" on computers of different architectures. The results show a significant improvement in the time characteristics of solving problems.

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38

Chen, Jiann-Liang, Hsi-Feng Lu, and Chien-An Lee. "Autonomic self-organization architecture for wireless sensor communications." International Journal of Network Management 17, no. 3 (2007): 197–208. http://dx.doi.org/10.1002/nem.617.

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39

von Kaenel, Pierre A. "Microprogramming a watch: tools for a course in computer organization." ACM SIGCSE Bulletin 20, no. 1 (1988): 309–12. http://dx.doi.org/10.1145/52965.53040.

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40

Bradley, Randy V., and Terry Anthony Byrd. "A Theoretical Investigation and Extension of a Model of Information Technology Architecture Maturity." Journal of Organizational and End User Computing 21, no. 4 (2009): 41–62. http://dx.doi.org/10.4018/joeuc.2009062603.

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Organizations that lack a coherent strategy for managing and evolving their IT platform and resources end up with fragmentation within the organization. Because the need for data sharing and systems integration is not always limited to the internal organization, the boundaries between the organization and its customers, vendors, suppliers, and partners are often blurred. It appears to be evident that organizations must have a clear idea of where they stand in regards to their own Information Technology Architecture (ITA) before preparing to adopt a new, shared ITA. This paper applies the reach and range concept and theory associated with strategic information systems planning to conceptually position ITA as a concept that provides convergence of a variety of frameworks related to IT and business alignment.

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41

Decker, William F. "A modern approach to teaching computer organization and assembly language programming." ACM SIGCSE Bulletin 17, no. 4 (1985): 38–44. http://dx.doi.org/10.1145/989369.989375.

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42

Parker, Brenda C., and Peter G. Drexel. "A system-based sequence of closed labs for computer systems organization." ACM SIGCSE Bulletin 28, no. 1 (1996): 53–57. http://dx.doi.org/10.1145/236462.236495.

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43

Nayak, Aruna S., Namrata D. Hiremath, Umadevi F. M., and Vishwanath G. Garagad. "A Hands-On Approach in Teaching Computer Organization & Architecture through Project Based Learning." Journal of Engineering Education Transformations 34 (January 31, 2021): 742. http://dx.doi.org/10.16920/jeet/2021/v34i0/157176.

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44

Murzin, F. A., and V. A. Sluev. "A memory organization for parallel computers." New Generation Computing 6, no. 1 (1988): 3–18. http://dx.doi.org/10.1007/bf03037502.

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45

Latif, Kamran, and Yusri Yusof. "Interpreter for Open Architecture CNC System: A Conceptual Model." Applied Mechanics and Materials 465-466 (December 2013): 779–83. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.779.

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Conventional Computer Numerical Control (CNC) machines are operated by controllers. Each controller has software model inside known as interpreter. The function of interpreter is to translate input data model code into CNC understandable internal data structure. These conventional CNC controllers are found to be closed in nature and are dependent on vendor specifications. In order to overcome these problems open architecture control systems are introduced. This paper presents an interpreter for open architecture CNC control system. The developed interpreter takes current available Computer Aided Design (CAD)/ Computer Aided Manufacturing (CAM) systems generated International Standard Organization (ISO) 6983 file in text (.txt) format as input and extracts the position, feed rate, spindle etc data from code. Then finally it writes interpreted code in user defined .txt and EXtensible Markup Language (.xml) formats.

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46

Yang, Lei, Qin Quan Gao, De Lin Luo, and Shun Xiang Wu. "Analysis and Implementation of UFS File System Based on Computer Forensics." Applied Mechanics and Materials 39 (November 2010): 186–91. http://dx.doi.org/10.4028/www.scientific.net/amm.39.186.

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UFS is the most important file system of the Unix OS and has been widely applied. Adequate understanding of its working principle and organization structure is the key that the computer forensics been successfully applied to this file system. Based on deep analysis of the system architecture and file access flow, this paper has proposed and realized a technology to analyse UFS file system and explored the data recovery thought. It provides forceful support for computer forensics technology applying to UFS .

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47

Williams, Elliott M. "Bridging User Research and Interface Design Through Information-Driven Conceptual Modeling." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 351–55. http://dx.doi.org/10.1177/1541931213601570.

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The significance of user research in usability analysis, and the role it plays in a properly-executed design process, is a well-studied aspect of human-computer interaction. Yet user research does not directly translate to the organization and architectural knowledge necessary for design. A conceptual model of information alignment and access, oriented toward modeling information flows and knowledge architecture, connects the needs identified in user research to the structure and visualization of the design. I conducted information architecture and website redesign efforts for both a small-scale university research group and a distributed STEM outreach organization. By comparing these efforts, I identify how conceptual models change in response to organization size, user needs, hierarchy, and knowledge scope. I reassert the significance of conceptual models for bridging user research to design, and identify how changes in the model signify changes in the design.

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48

Eckert, Richard R. "Kicking off a course in computer organization and Assembly/machine language programming." ACM SIGCSE Bulletin 19, no. 4 (1987): 2–9. http://dx.doi.org/10.1145/39316.39317.

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49

Hanafi Ichsan, Mochammad Hannats, and Wijaya Kurniawan. "CPU implementation using only logisim simulator to achieve computer architecture learning outcome." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 747–54. http://dx.doi.org/10.11591/eei.v9i2.1972.

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This paper proposes the design, implementation, and evaluation of an 8-bit CPU architecture in computer organization and architecture (COA) course for Undergraduate Computer Engineering using only Logisim simulator. The main advantage of using one simulator is the elimination of inefficiency so that students can concentrate more on the course’s content without spending their time just to learn how to use each different type of simulators. To achieve that, a simple CPU architecture is pre-designed and be implemented in Logisim simulator. According to previous researches, Mic-1 CPU architecture is chosen because it is the simplest one and can be easily built using many simple logic gates already existed in the Logisim. To evaluate the desired outcome, students are separated into two different groups. Each group used different type of learning media and material and then their examination scores and satisfaction are compared to each other. Every student belongs to the group that only used Logisim simulator obtained higher score and more than 50% are satisfied with the new learning process and material. Thus, it envisaged that this method will made the delivering learning process in COA course be more efficient than what has happened so far.

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50

Pratsri, Sajeewan, and Prachyanun Nilsook. "Design on Big data Platform-based in Higher Education Institute." Higher Education Studies 10, no. 4 (2020): 36. http://dx.doi.org/10.5539/hes.v10n4p36.

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According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the security and privacy of Big Data and Big Data analysis in organizations, government agencies, and educational institutions also have an impact on the aspect of designing a Big Data platform for higher education institute (HEi). It is a digital learning platform that is an online instruction and the use of digital media for educational reform including a module provides information on functions of various modules between computers and humans. 1) Big Data architecture is a framework for an architecture of numerous data which consisting of Big Data Infrastructure (BDI), Data Storage (Cloud-based), processing of a computer system that uses all parts of computer resources for optimal efficiency (High-Performance Computing: HPC), a network system to detect the target device network. Thereafter, according to Hadoop&rsquo;s tools and techniques, when Big Data was introduced with Hadoop&#39;s tools and techniques, the benefits of the Big Data platform would provide desired data analysis by retrieving existing information, to illustrate, student information and teaching information that is large amounts of information to adopt for accurate forecasting.

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