CprE 583 Adaptive
Computing Systems
Course Outline:
The emergence of high capacity reconfigurable
devices is spurring a revolution in general-purpose computing. The adaptive
computing systems can tailor and dedicate functional units and interconnect
to take advantage of application dependent dataflow. Furthermore, machines
have been proposed that dynamically change their configuration with changing
data sets and algorithm needs. The reconfigurability at pipeline level,
datapath level and memory level offer an interesting paradigm for general
purpose computing.
This course discusses the basic foundations
of reconfigurable computing, and its applications in general purpose computing
and adaptive network architectures.
Syllabus:
1. Introduction to Adaptive/Reconfigurable
Computing [1 week]
What is adaptive computing and why
is it interesting?
Computing Requirements, area, and
VLSI scaling
Instructions
Introduction to FPGA
Custom Computing Machine Overview
Comparing Computing Machines
2. FPGA Technology and Architectures
[3 weeks]
LUT devices and mapping (Look-up
Table)
ALU design
Placement and partitioning algorithms
Routing algorithms
3. Spatial Computing Architectures
[3 weeks]
Systolic Architectures and Algorithms
Systolic Structures
Bit Serial
4. Adaptive Network Architectures [3
weeks]
Static and dynamic network
Routing/embedding
Rearrangeable networks
Reconfigurable bus
5. Reconfigurable Computing Architectures
[5 weeks]
Reconfigurable coprocessor based
architectures
Compiler technology for coprocessor
based architectures --
Mapping/scheduling algorithms
Reconfigurable pipelines
Reconfigurable memories & caches
