{"id":7787,"date":"2019-12-15T03:27:59","date_gmt":"2019-12-15T03:27:59","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/high-performance-computing-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-3\/"},"modified":"2019-12-15T03:27:59","modified_gmt":"2019-12-15T03:27:59","slug":"high-performance-computing-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-3","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/high-performance-computing-aero-7th-sem-syllabus-for-vtu-be-2017-scheme-professional-elective-3\/","title":{"rendered":"High Performance Computing Aero 7th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-3)"},"content":{"rendered":"

High Performance Computing detail syllabus for Aeronautical Engineering (Aero), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17AE742), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n

For all other aero 7th sem syllabus for be 2017 scheme vtu you can visit Aero 7th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. For all other Professional Elective-3 subjects do refer to Professional Elective-3<\/a>. The detail syllabus for high performance computing is as follows.<\/p>\n

Course Objectives:<\/h4>\n

This course will enable students to<\/p>\n

    \n
  1. Understand the concepts of high performance computing<\/li>\n
  2. Acquire the knowledge of various algorithms required for parallel computing.<\/li>\n
  3. Understand the concepts of architecture.<\/li>\n<\/ol>\n

    Module 1 <\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 2 <\/h4>\n

    High-End Computer Systems: Memory Hierarchies, Multi-core Processors: Homogeneous and Heterogeneous, Shared-memory Symmetric Multiprocessors, Vector Computers, Distributed Memory Computers, Supercomputers and Petascale Systems, Application Accelerators \/ Reconfigurable Computing, Novel computers: Stream, multithreaded, and purpose-built.\t<\/p>\n

    Module 3 <\/h4>\n

    Parallel Algorithms: Parallel models: ideal and real frameworks, Basic Techniques: Balanced Trees, Pointer Jumping, Divide and Conquer, Partitioning, Regular Algorithms: Matrix operations and Linear Algebra, Irregular Algorithms: Lists, Trees, Graphs, Randomization: Parallel Pseudo-Random Number Generators, Sorting, Monte Carlo techniques.\t<\/p>\n

    Module 4 <\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 5 <\/h4>\n

    Achieving Performance: Measuring performance, identifying performance bottlenecks, Restructuring applications for deep memory hierarchies, Partitioning applications for heterogeneous resources, Using existing libraries, tools, and frameworks.\t<\/p>\n

    Course Outcomes:<\/h4>\n

    After studying the course the students will be able to<\/p>\n

      \n
    1. Apply the concepts of high performance computing<\/li>\n
    2. Develop various algorithms required for parallel computing.<\/li>\n<\/ol>\n

      Graduate Attributes (as per NBA):<\/h4>\n