CP7154 MULTI CORE ARCHITECTURES L T P C 3 0 0 3
OBJECTIVES:
To introduce the students to the recent trends in the field of Computer Architecture and identify performance related parameters
To understand the different multiprocessor issues
To expose the different types of multicore architectures
To understand the design of the memory hierarchy
UNIT I FUNDAMENTALS OF COMPUTER DESIGN AND ILP 9
Fundamentals of Computer Design – Measuring and Reporting Performance – Instruction Level Parallelism and its Exploitation – Concepts and Challenges – Limitations of ILP – Multithreading – SMT and CMP Architectures – The Multicore era.
UNIT II MEMORY HIERARCHY DESIGN 9
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 9
Symmetric and Distributed Shared Memory Architectures – Cache Coherence Issues – Performance Issues – Synchronization Issues – Models of Memory Consistency – Interconnection Networks – Buses, Crossbar and Multi-stage Interconnection Networks.
UNIT IV MULTICORE ARCHITECTURES 9
Homogeneous and Heterogeneous Multi-core Architectures – Intel Multicore Architectures – SUN CMP architecture – IBM Cell Architecture. Introduction to Warehouse-scale computers, Cloud Computing – Architectures and Issues – Case Studies.
UNIT V VECTOR, SIMD AND GPU ARCHITECTURES 9
Vector Architecture – SIMD Extensions for Multimedia – Graphics Processing Units – Case Studies – GPGPU Computing – Detecting and Enhancing Loop Level Parallelism.
TOTAL : 45 PERIODS
OUTCOMES:
Upon completion of this course, the student should be able to
Identify the limitations of ILP and the need for multicore architectures
Discuss the issues related to multiprocessing and suggest solutions
Point out the salient features of different multicore architectures and how they exploit parallelism
Critically analyze the different types of inter connection networks
Design a memory hierarchy and optimize it
REFERENCES:
1. John L. Hennessey and David A. Patterson, “Computer Architecture – A Quantitative Approach”, Morgan Kaufmann / Elsevier, 5th edition, 2012.
2. Darryl Gove, “Multicore Application Programming: For Windows, Linux, and Oracle Solaris”, Pearson, 2011.
3. David B. Kirk, Wen-mei W. Hwu, “Programming Massively Parallel Processors”, Morgan Kauffman, 2010.
4. Wen– mei W. Hwu, “GPU Computing Gems”, Morgan Kaufmann / Elsevier, 2011