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Dr. Michael Manzke

Assistant Professor (Computer Science)
Non College Properties
      
Profile Photo

Dr. Michael Manzke

Assistant Professor (Computer Science)
Non College Properties


Dr. Michael Manzke is an Assistant Professor in Computer Science at TCD since 1999 and a member of the GV2 group. He received his PhD from TCD in 2006 and has published over 30 peer reviewed publications in journals and conference proceedings e.g. ACM Transactions on Graphics (TOG) and International Journal of Computer Vision (IJCV). Furthermore, he filed 4 patents. Dr. Manzke's focusses on high performance low power graphics architectures and algorithms. This work is equally applicable to computer vision problems. Interactive Computer Graphics and Computer Vision applications require systems that deliver high performance while consuming very small amounts power. This is increasingly important for ubiquitous mobile applications such as augmented reality. He and his team of researchers address these research questions by investigating microarchitectures and algorithms that are specifically designed for Visual Computing computation. He works closely with industry partners such as Xilinx, Dolphin Interconnect Solutions, Intel, Sony, Toshiba, IBM, and Movidius on these problems. Dr. Manzke is supervising and supervised in total 13 team members: Postdocs(3), PhD(8), and Research Engineers(2). He has received 8 grants from Science Foundation Ireland, IRCSET, Enterprise Ireland, and Irish Research Council with a total amount of €1,826,319 and a total amount allocated to the candidate of €1,155,159.
  Computer architecture   Computer graphics, Meta computing   Computer Science/Engineering   Digital systems, representation   Distributed systems   High performance computing   Image synthesis   Kalman Filter   Modelling, modelling tools, 3D modelling   Networks and telecommunications research   Peripherals technologies   Signal processing   Systems control, Modelling, Neural networks   Systems Engineering   Systems/Control
Project Title
 A Shared-Memory Hybrid Graphics Cluster for Visualisation and Video Processing
From
2004
To
2007
Summary
In July 2004, SFI awarded Michael Manzke of the CAG, Dr Carol O'Sullivan of the ISG and Dr Anil Kokaram of the Electronic and Electrical Engineering Department a Basic Research Grant. As principal investigator, Dr Carol O'Sullivan leads this research effort that investigates "A Shared-Memory Hybrid Graphics Cluster for Visualisation and Video Processing".
Funding Agency
Science Foundation Ireland
Programme
Basic Research Grant
Project Title
 Physical Simulation on Scalable and Reconfigurable Shared-Memory Graphics Cluster
From
2005
To
2009
Summary
Funding Agency
IRCSET
Project Title
 Real-time Ray tracing on multi-core architectures
From
2006
To
2009
Summary
Investigating efficient multi threading/parallelisation of graphics and rendering algorithms and their application to real time raytracing on next generation multi-core cpu architectures.
Funding Agency
IRCSET
Project Title
 A Scalable programmable architecture for Ray-tracing applications
From
2008
To
2011
Summary
This project investigates scalable and programmable architecture for Ray-tracing applications
Funding Agency
Enterprise Ireland
Programme
CFTD/2008/202
Project Title
 Motion Capture and Motion Capture Data Compressionon on Cell Processors
From
2008
To
2010
Summary
This Enterprise Ireland Innovation Partnership project with Sony Toshiba and IBM in concerend with motion capture and motion capture data compression on Cell processors.
Funding Agency
Enterprise Ireland
Programme
IP//2007/505
Project Type
Innovation Partnership

Page 1 of 2
Details Date
International Papers Committee (IPC) High-Performance Graphics 2023 - 2026
External Examiner with the School of Computing, Dublin City University for the BSc in Computer Applications (Software Engineering) programme. 2012-14
Management Committee Member to COST Action IC1005: HDRi: The digital capture, storage, transmission and display of real-world lighting 2011-2015
International Papers Committee (IPC) High-Performance Graphics
CTO QUATERNION LABS Limited 2010-2013
Co-Director SONY TOSHIBA IBM (STI) Cell Center of Competence Europe 2008
Program Chair: Workshop on Computer Architecture Education WCAE, held in conjunction with the 42nd Annual International Symposium on Microarchitecture 2009
International Program Committees (IPC): International Conference on Computer Graphics Theory and Applications GRAPP 2007-2011
International Program Committees (IPC): Workshop on Computer Architecture Education WCAE 2004-2011
International Program Committees (IPC): 4th International SCI-Europe Conference 2001
International Program Committees (IPC): Graphics and Virtual Reality 2011
Journal Referee: IEEE Transactions on Visualization and Computer Graphics 2014
Journal Referee: IEE Proceedings Computers & Digital Techniques 2004
Journal Referee: Journal of Systems and Software 2005
Journal Referee: Computer Graphics Forum 2007
Journal Referee: IEEE Embedded Systems Letters 2011
Journal Referee: Neurocomputing 2011
Organising Commitee: Industry Programme Chair - Eurographics 2005
Organising Commitee: 2nd SCI Summer School 2001
Organising Commitee: 1st SCI Summer School 2000
Steering Committee: 4th International SCI-Europe Conference 2001
Reviewer: Natural Sciences and Engineering Research Council of Canada's Strategic Project Grants (SPG) program 2009
Reviewer: Siggraph Asia 2009 Courses Program 2009
Reviewer: Euro-Par 2008 2008
Reviewer: Web3D 2008 2008
Reviewer: WSCG 2011
General co-Chair, 28th International Conference on Field-Programmable Logic and Applications (FPL) 2018
Event Chair, EGSR - 27th Eurographics Symposium on Rendering 2016
Local Arrangements Chair, High-Performance Graphics 2016
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
German Fluent Fluent Fluent
Details Date From Date To
ACM SIGGRAPH and SIGARCH
M. J. Doyle and C. Tuohy and M. Manzke, Evaluation of a BVH Construction Accelerator Architecture for High-Quality Visualization, IEEE Transactions on Multi-Scale Computing Systems, 2017, p83 - 94, Journal Article, PUBLISHED  DOI  URL
Colin Fowler, Michael J. Doyle, and Michael Manzke, Adaptive BVH: an evaluation of an efficient shared data structure for interactive simulation, Proceedings of the 30th Spring Conference on Computer Graphics, Conference on Computer Graphics (SCCG '14), Smolenice, Slovakia, ACM, 2014, pp37 - 45, Conference Paper, PUBLISHED  DOI
David Ganter and Michael Manzke, An Analysis of Region Clustered BVH Volume Rendering on GPU, Computer Graphics Forum, 38, (8), 2019, p13 - 21, Journal Article, PUBLISHED  DOI  URL  URL
Michael Doyle, Colin Fowler, Michael Manzke, A Hardware Unit for Fast SAH-optimised BVH Construction, ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings, 32, (4), 2013, p139:1 - 139:10, Journal Article, PUBLISHED  DOI
Muiris Woulfe and Michael Manzke, A hybrid fixed-function and microprocessor solution for high-throughput broad-phase collision detection, EURASIP Journal on Embedded Systems, 2017, (1), 2016, p1 - 15, Journal Article, PUBLISHED  TARA - Full Text  DOI
Michael Doyle, Colin Fowler, Michael Manzke, 'HARDWARE UNIT FOR FAST SAH-OPTIMIZED BVH CONSTRUCTION', U.S. Patent and Trademark Office, 2014, Patent, SUBMITTED  Other
Cem Direkoglu, Rozenn Dahyot, Michael Manzke, On using Anisotropic Di ffusion for Skeleton Extraction, International Journal of Computer Vision, 100, (2), 2012, p170 - 189, Journal Article, PUBLISHED
Michael Manzke, Ross Brennan, Keith O'Conor, John Dingliana and Carol O'Sullivan, A scalable and reconfigurable shared-memory graphics architecture, International Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH 2006 Sketches), Boston, 30 July - 3 August, 2006, pp182 - 182, Conference Paper, PUBLISHED  TARA - Full Text  DOI  URL  URL
Seán Martin, Seán Bruton, David Ganter, and Michael Manzke, Synthesising Light Field Volume Visualisations Using Image Warping in Real-Time, Communications in Computer and Information Science, VISIGRAPP 2019, Prague, 25-27 February 2019, edited by Cláudio A. et al. , 1182, Springer International Publishing, 2020, pp30 - 47, Conference Paper, PUBLISHED  DOI
Seán Bruton, David Ganter, and Michael Manzke, Fast Approximate Light Field Volume Rendering: Using Volume Data to Improve Light Field Synthesis via Convolutional Neural Networks, Communications in Computer and Information Science, VISIGRAPP 2019, Prague, 25-27 February 2019, edited by Cláudio A. et al. , 1182, Springer International Publishing, 2020, pp338 - 361, Conference Paper, PUBLISHED  DOI
  

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M. Manzke, Cluster Computing, Dublin Institute of Technology, February, 2000, Invited Talk, PUBLISHED
M. Manzke, A Computer Architect's view on Parallel Architectures, Dublin Institute of Technology, February, 2001, Invited Talk, PUBLISHED
B. Skaali, M. Manzke, and B. Coghlan, SCI Hardware Support Tools , SCI Summer School 2000, Trinity College Dublin, Ireland, October, 2000, Invited Talk, PUBLISHED
Muiris Woulfe and Michael Manzke, Field-Programmable Physics Processor (FP³), Xilinx Academic Forum Ireland (XAFI 2006), Citywest, 22 June 2006, edited by Dave Carroll , Xilinx, 2006, Poster, PRESENTED
Coghlan, Brian and Manzke, Michael, grid-ireland, ERCIM News, (45), 2001, Notes: [ERCIM The European Research Consortium for Informatics and Mathematics ], Journal Article, PUBLISHED
Michael J. Doyle, Hardware Support for Power and Area Efficient Construction of High-Quality Bounding Volume Hierachies, Trinity College Dublin, 2014, Thesis, PUBLISHED
Fine-Davis, M., Welcome Address, Mental Health and the Workplace: Challenges and Opportunities, Trinity College, Dublin, 13 March, 2000, Conference Paper, PRESENTED

  


Award Date
Master in Art (jure officii) Trinity College Dublin 2004
Introductory remarks: I turned 65 this year and could have retired in October, but decided to work another year until October 2027. Consequently, I couldn"t apply for further research funding or take on additional duties. This application process should evaluate whether my achievements over the last 27 years at Trinity warrant the promotion to an associate professor. I have a somewhat unusual biography. During and after my primary engineering degree, I worked in industry for about 10 years before pursuing a PhD at Trinity at the age of 37. As part of my degree, I spent a year as an intern at Philips. During that time, I also worked on my dissertation. I developed and evaluated a method for measuring high-voltage electrostatic discharge (ESD) on integrated circuits (ICs). I achieved this by measuring these discharges with a scanning electron microscope (SEM). This method allowed Philips to evaluate protective circuits on their ICs. In the subsequent years, I worked in the semiconductor industry on quartz crystals that generate timing signals for computers, but for most of these years, I worked on large-scale process control systems for the bulk chemical industry, the pharmaceutical industry, and clean rooms in the semiconductor industry. In 1998, I started as a research assistant and PhD student on an EU project in computer science at Trinity. The project was concerned with a high-speed interconnect for personal computers (PC). This interconnect allowed for the configuration of clusters of PCs that were closely coupled and could share their memory. In 1999, I successfully applied for a three-year contract as a lecturer, and in 2000 I was appointed as a permanent lecturer in the Department of Computer Science. From the second year of my PhD, I had a full teaching load and supervised PhD students. My many years of experience in advanced control theory for real-time systems influenced my thesis topic. I designed and evaluated a distributed Kalman filter that was implemented over a cluster of PCs, a mathematical algorithm that estimates the true state of a changing compute system by combining a physical prediction with noisy performance counter measurements of the PCs and the interconnect. This allowed me to determine the computational state of the PC cluster in real-time. Other topics that influenced my research were reconfigurable chips, such as Field-Programmable Gate Arrays (FPGAs), Computer Graphics, and Computer Vision. Interactive Computer Graphics and Vision applications provided my postdocs, my PhD students, and me with problems that are computationally very demanding and need to be solved in real-time. FPGAs allowed us to design and evaluate novel integrated circuits for Computer Graphics and Vision hardware without the need to manufacture IC chips. The main thrust of my research is focused on hardware and software for high-performance real-time Computer Graphics and Vision systems. In 2018, for the first time, consumer graphics processing units (GPUs) for Real-time ray tracing became commercially available. Ray tracing can synthesize photorealistic images. These GPUs had integrated circuits that we published in 2013. Previously, we had worked on ray tracing for many years. More recently, our work addresses the problem of real-time interactive visualisation of 3D scientific data, namely volumetric datasets, which are ubiquitous in many application domains such as Medicine, Biology, Biomechanics, Neuroscience, Fluid Dynamics and Veterinary Medicine. Furthermore, our work focuses on low-power architectures for computer graphics, deep learning, and light fields for volume rendering. Much of this work was done in collaboration with industry. We also tried to commercialise some of our research.