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diff --git a/section_research.tex b/section_research.tex index 5f28637..70ce6f9 100644 --- a/section_research.tex +++ b/section_research.tex @@ -1,7 +1,7 @@ %\subtitle{Research and Technology}{\faSuitcase} \subtitle{Research and development}{\faSuitcase} -While the focus of my research is computing technologies, the developed instrumentation enabled major scientific break-throughs achieved by KATRIN~\cite{katrin2019limit} and ASEC~\cite{chili2010thunderstorm} collaborations. +While the focus of my research is computing technologies, the developed instrumentation enabled major scientific break-throughs achieved by the KATRIN~\cite{katrin2019limit} and ASEC~\cite{chili2010thunderstorm} collaborations. Below are referenced selected peer-reviewed publications which are either authored by me and my students or where we made a significant contribution. \begin{verycomplexevents} @@ -15,33 +15,33 @@ Below are referenced selected peer-reviewed publications which are either author \datedeventsection{\since{2011}}{High-bandwidth data acquisition and data-driven control}{} % \research {starting} {} {} {Adoption of}{high-performance and cloud computing for online data processing} \research {\ivl{2018}{2019}} {UFO,PyHST} {} {Fine-tuning}{of tomographic reconstruction algorithms through micro-benchmarking and performance modeling~\cite{csa2020rtip}} - \research {\ivl{2016}{2017}} {} {CMS} {Participated}{in a case study on applications of GPUs in Level-1 track trigger for the next upgrade of the \refexp{CMS} experiment~\cite{mohr2017cms}} - \technology {\ivl{2016}{2017}} {UFO} {KARA} {Designed}{a full chain of instrumentation for synchrotron imaging beamlines with possibility of online reconstruction and image-based feedback loop~\cite{kopmann2017ufo,stevanovic2015concert}} + \research {\ivl{2016}{2017}} {} {CMS} {Participated in a}{case study on applications of GPUs in the Level-1 track trigger for the next upgrade of the \refexp{CMS} experiment~\cite{mohr2017cms}} + \technology {\ivl{2016}{2017}} {UFO} {KARA} {Designed a}{platform for synchrotron imaging beamlines with a possibility of online reconstruction and an image-based feedback loop~\cite{kopmann2017ufo,stevanovic2015concert}} \research {\ivl{2015}{2016}} {Alps} {KARA} {Researched}{low-latency communication mechanisms for data-driven control applications~\cite{vogelgesang2016dgma}} %dritschler2014using \technology {\ivl{2014}{2015}} {Alps} {KARA} {Implemented}{fast DMA drivers with GPUDirect / DirectGMA support~\cite{rota2015dma}} \research {\ivl{2013}{2014}} {UFO,PyHST} {KARA,ESRF} {Reviewed}{asymptotically fast methods of tomographic reconstruction well-fitted for GPU architectures~\cite{rshkarin2015}} \research {\ivl{2011}{2013}} {UFO} {KARA} {Researched}{software architectures for online processing of image streams~\cite{vogelgesang2012ufo}} - \technology {\ivl{2011}{2013}} {Alps} {KARA} {Developed}{streaming data acquisition platform for scientific cameras~\cite{caselle2013camera}}% (readout, debugging, storage) / :readout framework, camera drivers, absraction, streaming storage, scripting & debugging + \technology {\ivl{2011}{2013}} {Alps} {KARA} {Developed a}{streaming data acquisition platform for scientific cameras~\cite{caselle2013camera}}% (readout, debugging, storage) / :readout framework, camera drivers, absraction, streaming storage, scripting & debugging \datedeventsection{\since{2007}}{Parallel architectures, performance analysis, and software optimization}{verycomplexevents} \technology {\ivl{2020}{2021}} {CCPi} {UoM} {Applied}{methods of approximate computing to enable reconstruction of large datasets using memory-intensive regularization methods~\cite{ametova2021neutron}} - \research {\ivl{2017}{2018}} {PyHST} {} {Researched}{performance imbalances and hidden parallelism in GPU architectures; proposed how they can be exploited to speed-up tomographic reconstruction~\cite{csa2018sbac}} % Balancing part is new, everything else was done earlier... + \research {\ivl{2017}{2018}} {PyHST} {} {Researched}{performance imbalances and a hidden parallelism in GPU architectures and how they can be exploited to speed-up tomographic reconstruction~\cite{csa2018sbac}} % Balancing part is new, everything else was done earlier... \technology {\ivl{2014}{2017}} {UFO} {KARA} {Investigated}{viable compromises between reconstruction quality and parallelization capabilities of tomographic algorithms~\cite{ashkarin2015}} \technology {\ivl{2013}{2014}} {UFO} {} {Developed}{parallel algorithms for $\mu$PIV (micro-particle velocimetry)~\cite{cavadini2018upiv}} - \technology {2010} {MRSES} {ASEC} {Leveraged}{PoweXCell architecture for MRSES feature selection algorithm (5000x speed-up compared to MATLAB prototype)} - \technology {\ivl{2009}{2010}} {PyHST} {KARA,ESRF} {Optimized}{PyHST tomographic reconstruction framework~\cite{csa2011pyhst}} - \technology {\ivl{2009}{2010}} {DictHW} {} {Implemented}{a digital image correlation and tracking algorithm for GPUs} %(10x speed-up) - \technology {\ivl{2007}{2008}} {XMLBench} {} {Carried out}{a performance study of open-source XML frameworks~\cite{csa2009xmlbench}} + \technology {2010} {MRSES} {ASEC} {Leveraged the}{PoweXCell architecture for an MRSES feature selection algorithm (5000x speed-up compared to a MATLAB prototype)} + \technology {\ivl{2009}{2010}} {PyHST} {KARA,ESRF} {Optimized the}{PyHST tomographic reconstruction framework~\cite{csa2011pyhst}} + \technology {\ivl{2009}{2010}} {DictHW} {} {Implemented a}{digital image correlation and tracking algorithm for GPUs} %(10x speed-up) + \technology {\ivl{2007}{2008}} {XMLBench} {} {Carried out a}{performance study of open-source XML frameworks~\cite{csa2009xmlbench}} \datedeventsection{\since{1999}}{Digitization, data organization, and distributed control systems}{verycomplexevents} \research {\since{2019}} {KaaS} {KATRIN} {Researching}{cloud technologies for highly heterogeneous control systems in large-scale scientific experiments [in preparation]} % KATRIN paper to be added, ADEI-cloudificatin separated as stand-alone point \research {\ivl{2015}{2017}} {WAVe} {KARA} {Researched}{remote visualization techniques for large and time-resolved tomographic volumes~\cite{ntj2017wave,losel2020biomedisa}} % Compression could be continuation of this (19/20) \research {\ivl{2013}{2015}} {ADEI} {ASEC} {Researched}{emerging web technologies for management and visualization of terabyte-scale archives with time-series} % This is about ADEI2 attempts (but no publication) % \technology {2014} {ADEI} {Edelweiss} {Integrated}{Edelweiss CouchDB database in ADEI ecosystem} - \technology {\ivl{2011}{2014}} {ADEI} {ASEC} {Converted}{KATRIN data management system into a full flagged platform for time-series exploration and analysis} % ADEI analysis, etc. - \technology {\ivl{2008}{2010}} {ADEI} {KATRIN} {Developed}{data management components of KATRIN control system~\cite{csa2010adei}} % Lets assume it includes ADEI/Control - \technology {\ivl{2007}{2008}} {} {KATRIN} {Stabilized}{KATRIN slow control system for production use~\cite{katrin2015detector}} - \technology {\ivl{2005}{2006}} {ADAS} {ASEC} {Developed}{a data acquisition system for particle detector networks~\cite{csa2009sevan}} + \technology {\ivl{2011}{2014}} {ADEI} {ASEC} {Converted the}{KATRIN data management system into a full flagged platform for time-series exploration and analysis} % ADEI analysis, etc. + \technology {\ivl{2008}{2010}} {ADEI} {KATRIN} {Developed}{data management modules of the KATRIN control system~\cite{csa2010adei}} % Lets assume it includes ADEI/Control + \technology {\ivl{2007}{2008}} {} {KATRIN} {Stabilized the}{KATRIN slow control system for production use~\cite{katrin2015detector}} + \technology {\ivl{2005}{2006}} {ADAS} {ASEC} {Developed a}{data acquisition system for particle detector networks~\cite{csa2009sevan}} \research {\ivl{2002}{2004}} {ADAS} {ASEC,KATRIN} {Researched}{network protocols for heterogeneous slow control systems~\cite{eppler2004opc}} \technology {\ivl{1999}{2001}} {} {} {Evaluated}{hardware-accelerated neural networks for trigger applications~\cite{vardanyan2001sand}} \end{verycomplexevents} |