ECE 511

ECE 511 - Computer Architecture

Spring 2025

Title	Rubric	Section	CRN	Type	Hours	Times	Days	Location	Instructor
Computer Architecture	CSE521	A	69418	DIS	4	1400 - 1520	T R	3015 Electrical & Computer Eng Bldg	Rakesh Kumar
Computer Architecture	ECE511	A	69417	DIS	4	1400 - 1520	T R	3015 Electrical & Computer Eng Bldg	Rakesh Kumar

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Web Page

https://courses.grainger.illinois.edu/ece511/sp2024/

Official Description

Advanced concepts in computer architecture: design, management, and modeling of memory hierarchies; stack-oriented processors; associative processors; pipelined computers; and multiple processor systems. Emphasis on hardware alternatives in detail and their relation to system performance and cost. Course Information: Same as CSE 521. Prerequisite: ECE 411 or CS 433.

Subject Area

Hardware Systems

Course Director

Wen-mei Hwu

Description

Advanced concepts in computer architecture; design, management, and modeling of memory hierarchies, stack-oriented processors, associative processors, pipelined computers, and multiple processor systems; and focuses on hardware alternatives in detail and their relation to system performance/cost.

Notes

Same as CSE 521.

Topics

Processor design: memory hierarchy; bus, cache, and shared memory; disk arrays, pipelining and superscalar techniques; reducing branch penalties; multivector computers
Parallel array processors: SIMD computers; interconnection networks; systolic arrays
Multiprocessors: program and network properties; scalability issues; performance evaluation; caches and consistency issues; parallel programming and compilers; scheduling algorithms
Distributed-memory multicomputers: architecture; distributed shared memory; routing and network design issues; load balancing/data mapping algorithms; performance evaluation and visualization; design of parallel algorithms; scalable, multithreaded, and dataflow architectures; applications
Distributed processing: distributed operating system; load balancing algorithms

Detailed Description and Outline

Topics:

Processor design: memory hierarchy; bus, cache, and shared memory; disk arrays, pipelining and superscalar techniques; reducing branch penalties; multivector computers
Parallel array processors: SIMD computers; interconnection networks; systolic arrays
Multiprocessors: program and network properties; scalability issues; performance evaluation; caches and consistency issues; parallel programming and compilers; scheduling algorithms
Distributed-memory multicomputers: architecture; distributed shared memory; routing and network design issues; load balancing/data mapping algorithms; performance evaluation and visualization; design of parallel algorithms; scalable, multithreaded, and dataflow architectures; applications
Distributed processing: distributed operating system; load balancing algorithms