2003 Course - K. K. Wagh Education Society

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Parallel Programming UNIT VI: 7 Hrs. Parallel Software Issues a) Parallel algorithms for multiprocessors, classification of parallel algorithms, performance of parallel algorithms b) Operating systems for multiprocessors systems, Message passing libraries for parallel programming interface, PVM (in distributed memory system), Message Passing Interfaces (MPI), PThreds (in shared memory system) c) Parallel Programming Languages : Fortan 90, Occam, C-Linda, CCC etc. d) Issues towards cluster computing. Introduction to Neuro Computing and Grid Computing 8 Hrs. Text Books 1. Kai Hwang, Faye A. Briggs, “Computer Architecture and Parallel Processing” McGrawhill international Edition 2. Kai Hwang, “Advanced Computer Architecture”, Tata McGrawhill Edition References 1. V.Rajaraman, L Sivaram Murthy, “Parallel Computers”, PHI. 2. William Stallings, “Computer Organization and Architecture, Designing for performance” Prentice Hall, Sixth edition 3. Kai Hwang, Scalable Parallel Computing 4. Harrold Stone, High performance computer Architecture 5. Richard Y. Kain , Advanced Computer Architecture 6. http://www.intel.com/products/processor (for Intel Itanium Processor) 7. For IBM Power 4 Processor a. http://www.ibm.com/servers/eserver/pseries/hardware/whitepapers/power/p pc_arch.html
. http://www.ibm.com/servers/eserver/pseries/hardware/whitepapers/power/p pc_arch_2.html 410450 Software Testing And Quality Assurance Teaching Scheme: Examination Scheme: Theory: 04 Hrs./week Theory: 100 Marks Duration: 3 Hrs. Objectives: • To introduce Software Measurement concepts • To introduce Software Testing Process • To emphasis on Software Testing strategies • To introduce Software Quality management principles & metrics. UNIT I: Principles of Measurement: Representation Theory of Measurement, Measurement and models, Measurement Scales, Classification of Software Measures, Determining what to measure, Applying Framework, Software Measurement Validation, Four principles of Investigation, Planning Formal Experiments, What is a good data, How to define/collect data, How to Store and Extract data. UNIT II : Internal Product attributes Measurement Size: Aspects of software size, length, reuse, functionality, complexity Structure: Types of structural measures, control-flow structures, Modularity and information flow attributes, Object-oriented metrics, Data structure, Difficulties with general complexity measures, Halstead’s Software Science. UNIT III: Software Measurement Programs and Principles of Testing: What is a metric plan?, Goal-Question-Metric model, Measurement tools, Measurement in small, Measurement in Large systems.
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Page 37 and 38: Text Books: 1. Andrew S. Tanenbaum
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Page 43 and 44: Understanding quality attributes, a
Page 45 and 46: 2. Submit a IDL definition for a fe
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2003 Course - K. K. Wagh Education Society

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