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Dr. Michael Manzke

Assistant Professor (Computer Science)


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
 A Shared-Memory Hybrid Graphics Cluster for Visualisation and Video Processing
 Physical Simulation on Scalable and Reconfigurable Shared-Memory Graphics Cluster
 Real-time Ray tracing on multi-core architectures
 A Scalable programmable architecture for Ray-tracing applications
 Motion Capture and Motion Capture Data Compressionon on Cell Processors

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Details Date
External Examiner with the School of Computing, Dublin City University for the BSc in Computer Applications (Software Engineering) programme. 2012-14
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
Management Committee Member to COST Action IC1005: HDRi: The digital capture, storage, transmission and display of real-world lighting 2011-2015
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 2106
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
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
German Fluent Fluent Fluent
SeanMartin and Sean Bruton and David Ganter and Michael Manzke, Using a Depth Heuristic for Light Field Volume Rendering, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Prague, Czech Republic, 25-27 February, 2019, pp8 , Conference Paper, ACCEPTED
Sean Bruton and David Ganter and Michael Manzke, Synthesising Light Field Volumetric Visualizations in Real-time Using A Compressed Volume Representation, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Prague, Czech Republic, 25-27 February, 2019, pp8 , Conference Paper, ACCEPTED
David Ganter and Martin Alain and David Hardman and Aljosa Smolic and Michael Manzke , Light-Field DVR on GPU for Streaming Time-Varying Data, Pacific Graphics , Hong Kong, 8-11 October, edited by Hongbo Fu and Abhijeet Ghosh and Johannes Kopf , The Eurographics Association, 2018, pp4 , Conference Paper, PUBLISHED  DOI
Anil Kokaram, Trinity College Dublin, Ireland Michael Manzke, Trinity College Dublin, Ireland Michaela Blott, Xilinx, Ireland Miriam Leeser, Northeastern University, USA Suhaib Fahmy, University of Warwick, UK(ed.), 28th International Conference on Field Programmable Logic and Applications (FPL) , Trinity College Dublin, Ireland, 27-31 August, 2018, 1-100 p, Proceedings of a Conference, PUBLISHED  DOI  URL
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, p1 - 1, Journal Article, PUBLISHED  DOI  URL
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
Doyle, Michael. and Luo, Shengzhou. and Manzke, Michael, Fast Hardware-Accelerated Construction of Spatial Index Structures for Visualization of Time-Varying Medical Data, MedViz and Visual Computing for Biology and Medicine Conference 2016, Bergen, Norway, 2016, pp79 - 81, Poster, PUBLISHED  URL
Colin Fowler, Efficient Data Structure and Algorithms for Real-Time Interactive Simulations, Trinity College Dublin, 2016, Thesis, PUBLISHED
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
Michael Doyle, Colin Fowler, Michael Manzke, 'HARDWARE UNIT FOR FAST SAH-OPTIMIZED BVH CONSTRUCTION', U.S. Patent and Trademark Office, 2014, Patent, SUBMITTED  Other
  

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Michael J. Doyle, Hardware Support for Power and Area Efficient Construction of High-Quality Bounding Volume Hierachies, Trinity College Dublin, 2014, Thesis, 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
Muiris Woulfe, Analogue Dynamics Engine (ADE), University of Dublin, 2005, Thesis, PUBLISHED
M. Manzke, A Computer Architect's view on Parallel Architectures, Dublin Institute of Technology, February, 2001, Invited Talk, PUBLISHED
Coghlan, Brian and Manzke, Michael, grid-ireland, ERCIM News, (45), 2001, Notes: [ERCIM The European Research Consortium for Informatics and Mathematics ], Journal Article, PUBLISHED
M. Manzke, Cluster Computing, Dublin Institute of Technology, February, 2000, 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

  

Award Date
Master in Art (jure officii) Trinity College Dublin 2004
My PhD work on cluster performance estimation led to an interest into scalable reconfigurable architectures for large scale interactive graphics applications. I moved from the Computer Architecture Group to the Graphics Vision and Visualisation Group (GV2). In this context I investigated with my PhD students and postdocs a scalable reconfigurable interface for Graphics Processing Units (GPUs) as a closely‐coupled alternative to high latency cluster solutions. We also investigated a hardware message passing protocol that interconnects clusters of field‐programmable gate array (FPGA) directly as a cost effective alternative to a share memory solution. At that point I changed my focus from scalable rasterization hardware to scalable ray‐tracing hardware because I saw this as a potential solution for future large scale interactive graphics applications. I also believe that scalable closely‐coupled systems need to execute parts of their algorithm on microprocessors and other aspects on fixed function hardware (microarchitectures). In this context we investigated hardware‐accelerated collision detection and hardware accelerated construction of SAH‐based bounding volume hierarchies for interactive ray‐tracing with particular promising results for the BVH builder. Furthermore, we investigate joint acceleration data structures for collision detection and ray tracing. This work is now integrated in Nvidia's latest GPUs. Another interest developed through my research activities as Co‐Director of the SONY TOSHIBA IBM (STI) Cell Center of Competence Europe. We investigated some computer vision problems particular Skeleton Extraction and Multiple View Reconstruction. We also worked, in close collaboration with Sony Broadcast & Professional Research Laboratories, atreal‐time Cell processor algorithm for their professional stereo camera rigs. More recently my 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. Specifically, this work deals with the problem of time‐variant and multivariate volume data sets which have become more readily available in recent years due to improved scanning technologies and simulation techniques. Such data sets are particularly difficult to deal with due to their computational complexity as well as the information overload that can arise from such visually challenging data. We employ graphics hardware and parallel computing strategies to address the performance issue, whilst information overload is dealt with using techniques from perceptually adaptive graphics, computational aesthetics and non‐photorealistic rendering which apply smart techniques to improve usability and understandability of data. I do this research in collaboration with my colleague Dr. John Dingliana. I focus on the performance issue while Dr. Dingliana deals with the perceptually adaptive graphics. Furthermore, much of my recent work focuses on low power architectures for computer graphics, deep learning, and light fields for volume rendering.