CP5152 ADVANCED COMPUTER ARCHITECTURE SYLLABUS - ANNA UNIVERSITY PG REGULATION 2017

OBJECTIVES:

• To introduce the students to the recent trends in the field of Computer Architecture and identify performance related parameters.
• To learn the different multiprocessor issues.
• To expose the different types of multicore architectures.
• To understand the design of the memory hierarchy.

CP5152 ADVANCED COMPUTER ARCHITECTURE SYLLABUS

UNIT I FUNDAMENTALS OF COMPUTER DESIGN AND ILP
Fundamentals of Computer Design – Measuring and Reporting Performance – Instruction Level Parallelism and its Exploitation – Concepts and  Challenges –Exposing ILP - Advanced Branch Prediction - Dynamic Scheduling - Hardware-Based Speculation - Exploiting ILP - Instruction Delivery and Speculation - Limitations of ILP - Multithreading

UNIT II MEMORY HIERARCHY DESIGN
Introduction – Optimizations of Cache Performance – Memory Technology and Optimizations – Protection: Virtual Memory and Virtual Machines – Design of Memory Hierarchies – Case Studies.

UNIT III MULTIPROCESSOR ISSUES
Introduction- Centralized, Symmetric and Distributed Shared Memory Architectures –Cache Coherence Issues – Performance Issues –  Synchronization – Models of Memory Consistency – Case Study-Interconnection Networks – Buses, Crossbar and Multi-stage Interconnection Networks

UNIT IV MULTICORE ARCHITECTURES
Homogeneous and Heterogeneous Multi-core Architectures – Intel Multicore Architectures – SUN CMP architecture – IBM Cell Architecture. Introduction to Warehouse-scale computersArchitectures- Physical Infrastructure and Costs- Cloud Computing –Case Study- Google Warehouse-Scale Computer.

UNIT V VECTOR, SIMD AND GPU ARCHITECTURES
Introduction-Vector Architecture – SIMD Extensions for Multimedia – Graphics Processing Units – Case Studies – GPGPU Computing – Detecting and Enhancing Loop Level Parallelism-Case Studies.

TOTAL : 45 PERIODS

OUTCOMES:
Upon completion of this course, the students should be able to:

• Identify the limitations of ILP.
• Discuss the issues related to multiprocessing and suggest solutions
• Point out the salient features of different multicore architectures and how they exploit parallelism.
• Discuss the various techniques used for optimising the cache performance
• Design hierarchal memory system
• Point out how data level parallelism is exploited in architectures

REFERENCES:

1. Darryl Gove, ―Multicore Application Programming: For Windows, Linux, and Oracle Solaris‖, Pearson, 2011
2. David B. Kirk, Wen-mei W. Hwu, ―Programming Massively Parallel Processors‖, Morgan Kauffman, 2010
3. David E. Culler, Jaswinder Pal Singh, ―Parallel computing architecture : A hardware/software approach‖ , Morgan Kaufmann /Elsevier Publishers, 1999
4. John L. Hennessey and David A. Patterson, ―Computer Architecture – A Quantitative Approach‖, Morgan Kaufmann / Elsevier, 5th edition, 2012.
5. Kai Hwang and Zhi.Wei Xu, ―Scalable Parallel Computing‖, Tata McGraw Hill, NewDelhi, 2003

Anna University PG Regulation 2017 CSE Syllabus, Cp5152 Advanced Computer Architecture Syllabus, Reg 2017 CP5152 Syllabus, 1st Sem PG Advanced Computer Architecture