Shivaji University, Maharashtra, Computer Engineering Semester 7, Advanced Computer Architecture Syllabus

Unit - 1 Introduction

1.1 State of Computing

1.2 Multiprocessor and Multicomputer

1.3 Multivector and SIMD Computers

1.4 Architectural Development Tracks

1.5 Trends in Power and Energy in Integrated Circuits

1.6 Trends in Cost

Unit - 2 Principles Of Pipelining And Vector Processing

2.1 Pipelining

2.2 Linear Pipelining

2.3 Classification of Pipeline Processors

2.4 Interleaved memory organizations

2.5 Performance evaluation factors

2.6 Vector processing concepts characteristics

2.7 Cray type vector processor design e.g. Array processors Systolic arrays

Unit - 3 Different parallel processing architectures

3.1 Introduction to Associative memory processors

3.2 Multithreaded architecture –principles of multithreading

3.3 Latency hiding techniques

3.4 Scalable coherent multiprocessor model with distributed shared memory

Unit - 4 Distributed Memory Architecture

4.1 Loosely coupled and tightly coupled architectures

4.2 Cluster computing as an application of loosely coupled architecture

4.3 Examples – CM*

Unit - 5 Data-Level Parallelism in Vector, SIMD and GPU Architectures

5.1 Introduction Vector Architecture SIMD Instruction Set Extensions for Multimedia Graphics Processing Units Detecting and Enhancing LoopLevel Parallelism

5.2 Crosscutting Issues Mobile versus Server GPUs and Tesla versus Core i7

Unit - 6 Program and Network Properties

6.1 Conditions of parallelism Data and Resource Dependences

6.2 Data dependency analysis Bernstein’s condition

6.3 Hardware and Software Parallelism

6.4 Grain Sizes and Latency

6.5 Grain Packing and Scheduling