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authorSuren A. Chilingaryan <csa@suren.me>2021-03-11 23:33:08 +0100
committerSuren A. Chilingaryan <csa@suren.me>2021-03-11 23:33:08 +0100
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-Variants
-========
-1. GPU computing for high-speed tomographic reconstruction~\cite{csa2011pyhst}
-2. Optimization of synchtrotron tomography with GPU computing~\cite{csa2011pyhst}
-3. Collaborated with researchers from ESRF facility on high-speed tomographic reconstruction and improved performance of PyHST software by factor of 30~\cite{csa2011pyhst}.
-
-Variants
-========
-1. Approximate computing to enable reconstruction of large datasets using memory-intensive
-regularization methods
-2. Applied methods of approximate computing to enable reconstruction of large datasets using memory-intensive
-regularization methods
-3. Collaborated with scientists from University of Manchester on optimization of their tomography software: suggested methods of approximate computing to enable also reconstruction of large datasets
-
-
-Doubts - contribution unclea
-=======
-1. A case study on application of GPUs in L1 track trigger for the next upgrade of CMS experiment
-2. Superivised a case study on application of GPUs in L1 track trigger for the next upgrade of CMS experiment
-3. Superivised aspects of low-latency FPGA-to-GPU communication in a case study on application of GPUs in L1 track trigger for the next upgrade of CMS experiment
-
-Doubts - contribution unclea
-=======
-1. Streaming data acquisition platform for control systems with image-based feedback loops
-3. Participated in the development of streaming data acquisition platform aimed at control systems with image-based feedback loops and was responsible for the software part
-
-
-Unclear?
-========
-1. Hidden parallelism in GPU architectures
-2. Researched hidden parallelism in GPU architectures