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CSE3304: HIGH PERFORMANCE EMBEDDED COMPUTING
Core/Elective: Elective Semester: 3 Credits: 4
Course Description

This course introduces the design aspects of high performance embedded systems. Multiprocessor architecture and software structure

Course Objectives

To know principles, concepts and practice of High Performance embedded systems.
To know Processor evaluation techniques
Understand multiprocessor architecture
Understand hardware/software co-design

Profile

1. The landscape of HPEC - Example applications - Design methodologies - Embedded Systems Design flows - Models of computation - Parallelism and computation - Reliable system design - CE architectures

2. Evaluating processors - RISC and DSP processors - Parallel execution mechanisms - Super scalar, SMID and Vector processors- Variable performance CPU architectures - CPU Simulation - Automated CPU Design

3. Code generation and back-end compilation - Memory oriented optimizations - Program performance analysis - Models of computation and languages

4. Multiprocessor Architectures - Multiprocessor design techniques - Processing elements - Interconnection networks - Memory systems - Physically distributed systems and networks - multiprocessor design methodologies and algorithms

5. Multiprocessor software - RT multiprocessor operating systems - services and middleware for embedded multiprocessors - Hardware/Software co-design - performance analysis - Hardware/Software Co-Synthesis algorithms - Hardware/Software Co-Simulation

REFERNCES

1.Wayne Wolf "High-Performance Embedded Computing: Architectures, Applications, and Methodologies" Morgan Kaufmann(2006) ISBN-13: 978-0123694850
2. Larry L Peterson “Computer Networks: A Systems Approach” Morgan Kaufmann (2007) ISBN-13: 978-0123705488


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