Dr Chris Crispin-Bailey

Latest Items

Read about ACAGS Award

SuperScalar Operand Stack

Limerick-York University

Collaboration with Cybula Ltd

When Moore's Law Gets

TooHot to Handle (Article)

Introduction

I am Dr Chris Crispin-Bailey, a Lecturer In the University of York Department of Computer Science, and a member of the Advanced Computer Architectures Group. Receiving my PhD in 1996, I have subsequently been involved with more than 30 bids and proposals totalling over £34million of funding applications, with £4million successfully obtained to date.

My previous positions include a 'Teaching Research-Fellowship', and Senior Lecturer with roles suchas course-leader, course validation panel membership, external examiner for Advanced MSc courseprogrammes, and director of a DTI funded research centre.

I teach topics recently including Digital Architectures, Circuits and Systems (DACS), Chips to Systems (CTS) and Hardware Architecture Projects (HAPR). I also manage the JavaBreadBoard project- a free e-learning toolset for electronics.

Research

My current research activities include several new and/or ongoing projects which I lead. (See links below)

	JAVA BREADBOARD A free electronics toolset, developed by York CS staff and students, 1000+ downloads per month from our own portal and non-affiliated mirror sites.
	CAMELEON FPGA PLATFORM Working toward a 1-Billion Gate Resource for advanced digital architectures research, with UK and International collaboration partners.
	NOVEL PROCESSOR DESIGN CPU Design and synthesis is a core area of my research. The implementation of multicore processors is increasingly of interest here.
	Advanced Microarchitecture Sumulation Modelling of Novel Processor systems. Using a bespoke simulator I am modelling the impact of novel architectures, and code optimisation strategies, with the aim of developing new low-power/area cost multicore paradigms
	SPHERE (Dai ChengLiang) (Signal Processing in Hardware for EEG Recording and Extrapolation) In this project we seek to investigate power/area/speed tradeoffs for essential processing aspects of neural data after acquisition, with applications such as subject-monitoring, intelligent-prosthetics, and so-on. This research project undertaken by Dai Chengliang, a PhD student member of ACAG. The work is an inter-group collaboration with University of Newcastle
	DARC (Antonio Arnone) ( Dark silicon Architectures for Register-less Computing) PhD Researcher Anyonio Arnone is researching dark silicon - the area of a chip that is typically unusable in a given moment due to thermal heat density. We are currently working on ways to translate program code into hardware cores to achieve large power reductions for program execution.
	NAT The Neural Activity Tracker is a device under development for commercial applications n the biomedical research area. We are working with the University of Aberdeen and Cybula Ltd on this project.

ADDITIONAL BACKGROUND

My research portfolio also includes several previous major achievements (full list), including the Directorship of the DTI-funded AMADEUS Virtual Research Centre, hosted by the University of York, with a budget of over £3.4 million, with funding split 50/50 between government and private UK industry partnerships. Other projects I have led or co-supervised include VIDEOWARE, UFO, HIPIC, among others. In total I have been associated with in-excess of £33m of research funding applications to date (1996-2011), resulting in around £4m in awards (averaging roughly £2m/£260k per year). This includes, most recently a £12m bid to the Technology Strategy Board for an Innovation Knowledge Centre for Green ICT technologies, in association with a number of colleagues.

My core research areas include multicore architectures, stack machines, code optimisation, code translation, ubiquitous systems hardware and applications, VLSI, VHDL, and FPGA technologies, and use of electronic learning tools. Application areas include digital technology for sustainability, embedded and pervasive smart environments, Biomedical electronics applications, and high performance and future-scalability of computer systems.