Degree Type

Dissertation

Date of Award

2010

Degree Name

Doctor of Philosophy

Department

Electrical and Computer Engineering

First Advisor

Akhilesh Tyagi

Abstract

The advance in fabrication technology hugely increases the number of available transistors

on a single chip. It allows the industry to build the entire system on a single chip which was

only realizable on a board in the past. On-chip System not only reduces the computer physical

size, but also increases the computation performance because modules/cores/intellectual properties (IPs) are packed closely together. When simply increasing the clock frequency to increase

the computer performance becomes harder because of the wire delay, putting more computation units on a single chip becomes a good alternative for improving computer performance.

Building more cores on a chip in the future is expected.

With many IPs on a chip, traditional bus is no longer able to provide enough bandwidth to

support the communication between IPs. Providing a high performance on-chip network infrastructure for the IP communication becomes a key to high performance on-chip computation.

This thesis focuses on an on-chip network supporting on-chip system.

This thesis is composed of two main parts. In the first part, a high performance deadlock

free dual-coded on-chip router using adaptive multicast routing is built. Compared with the

traditional deterministic XY unicast router, this router can reduce both packet latency and

energy consumption.

In the second part, a co-processor placement algorithm for an on-chip system built from

FPGAs with an on-chip network is proposed. The algorithm aims to place the communicating

modules as close as possible. In addition, an algorithm for sharing a FPGA by multiple co-processors and an algorithm for supporting polymorphic co-processor are proposed to increase

on-chip FPGA system throughput.

DOI

https://doi.org/10.31274/etd-180810-2018

Copyright Owner

Ka-ming Keung

Language

en

Date Available

2012-04-30

File Format

application/pdf

File Size

146 pages

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