ADVANCED COMPUTER ARCHITECTURES
Course Code:18CS733
CIE Marks:40
Number of Contact Hours/Week:3:0:0
SEE Marks:60
Total Number of Contact Hours:40
Exam Hours:03
CREDITS –3
Course Learning Objectives: This course (18CS733) will enable students to:
- Describe computer architecture.
- Measure the performance of architectures in terms of the right parameters.
- Summarize parallel architecture and the software used for them
Module 1
Theory of Parallelism: Parallel Computer Models, The State of Computing, Multiprocessors and Multicomputer, Multivector and SIMD Computers, PRAM and VLSI Models, Program and Network Properties, Conditions of Parallelism, Program Partitioning and Scheduling, Program Flow Mechanisms, System Interconnect Architectures, Principles of Scalable Performance, Performance Metrics and Measures, Parallel Processing Applications, Speedup Performance Laws. For all Algorithm or mechanism, any one example is sufficient.Chapter 1 (1.1to 1.4), Chapter 2( 2.1 to 2.4) Chapter 3 (3.1 to 3.3)
RBT: L1, L2
Notes will be uploaded soon
Module 2
Hardware Technologies 1: Processors and Memory Hierarchy, Advanced Processor Technology, Superscalar and Vector Processors, Memory Hierarchy Technology, Virtual Memory Technology. For all Algorithms or mechanisms, any one example is sufficient.Chapter 4 ( 4.1 to 4.4)
RBT: L1, L2, L3
Notes will be uploaded soon
Module 3
Hardware Technologies 2: Bus Systems, Cache Memory Organizations, Shared Memory Organizations, Sequential and Weak Consistency Models, Pipelining and Superscalar Techniques, Linear Pipeline Processors, Nonlinear Pipeline Processors. For all Algorithms or mechanisms any one example is sufficient.Chapter 5 (5.1 to 5.4) Chapter 6 (6.1 to 6.2)
RBT: L1, L2, L3
Notes will be uploaded soon
Module 4
Parallel and Scalable Architectures: Multiprocessors and Multicomputers, Multiprocessor System Interconnects, Cache Coherence and Synchronization Mechanisms, Message-Passing Mechanisms, Multivector and SIMD Computers, Vector Processing Principles, Multivector Multiprocessors, Compound Vector Processing, Scalable, Multithreaded, and Dataflow Architectures, Latency-Hiding Techniques, Principles of Multithreading, Fine- Grain Multicomputers. For all Algorithms or mechanisms any one example is sufficient.Chapter 7 (7.1,7.2 and 7.4) Chapter 8( 8.1 to 8.3) Chapter 9(9.1 to 9.3)
RBT: L1, L2, L3
Notes will be uploaded soon
Module 5
Software for parallel programming: Parallel Models, Languages, and Compilers ,Parallel Programming Models, Parallel Languages and Compilers, Dependence Analysis of Data Arrays. Instruction and System Level Parallelism, Instruction Level Parallelism, Computer Architecture, Contents, Basic Design Issues, Problem Definition, Model of a Typical Processor, Compiler-detected Instruction Level Parallelism ,Operand Forwarding ,Reorder Buffer, Register Renaming ,Tomasulo‟s Algorithm. For all Algorithms or mechanisms any one example is sufficient.Chapter 10(10.1 to 10.3) Chapter 12( 12.1 to 12.9)
RBT: L1, L2, L3
Notes will be uploaded soon
Course Outcomes: The student will be able to :
Explain the concepts of parallel computing and hardware technologies Compare and contrast the parallel architectures
Illustrate parallel programming concepts
Question Paper Pattern:
The question paper will have ten questions. Each full Question consisting of 20 marks
There will be 2 full questions (with a maximum of four sub questions) from each module.
Each full question will have sub questions covering all the topics under a module.
The students will have to answer 5 full questions, selecting one full question from each module.
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