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- Data processing group (PDV)
- - Application fields
- - Computing infrastructure (networks, databases, virtualization, and cloud platforms) for scientific large-scale research
- - Data managment systems for energy storage research, neutrino physics, cosmic ray physics, meteorology, and fusion power
- - DAQ and slow control systems for Neutrinophysics and dark matter searches
- - Distributed DAQ and control systems for high-bandwidth instrumentation in photon science
- - Real-time image processing applications in photon science and Material science
- - Highly parallel and reduced precision algorithms for high-speed synchrotron tomography
- - Smart scientific cameras for image-based data analysis
- - Technologies
- - High performance computing
- - Heterogeneous computing with CPUs, GPUs, FPGAs, and custom accelerators
- - Reduced-precision computations and hardware-aware techniques
- - Parallel programming with CUDA and OpenCL
- - Performance analysis and software optimization
- - High-bandwidth data acquisition, online data processing, and low-latency control
- - Linux kernel development, PCI drivers, Scatter-gather DMA engines, etc.
- - High-speed distributed storage with iSER, DRBD, Raid, and Linux AIO
- - Low-latency Infiniband and Ethernet networking using RDMA and ROCe technologies
- - GPU interconnects with NVIDIA GPUDirect and AMD DirectGMA
- - Data-intensive Cloud Platform
- - Data-intensive work-loads on OpenShift
- - GPU and desktop conteinerization
- - Scientific Workflow Engines
- - Experimental control, data management, and automation
- - Slow control platforms from EPICS and National Instruments
- - Database technologies: relational (MSSQL, MySQL), document (MongoDB), time series (InfluxDB), image/matrices (TileDB)
- - Web-based data visualization with Spark, Jupyter, and WebGL
- - IT infrastructure for scientific experiments and cloud-based services
- - RHEL/CentOS and OpenSuSE platforms. Automation with Ansible
- - Distributed file-systems: GlusterFS, GlusterBlock, CePH, BeeGFS.
- - Virtualization with VMWare, oVirt, and KVM
- - CRI-O/Docker containers, OpenShift/Kubernetes orchestration, Helm package management
- - Projects (open & closed)
- - Open-source software
- - ADEI+Bora: Advanced Data Extraction Infrastrucure / data management for time-series data
- - WAVe: Web-based Visualization of Volumes
- - ALPS: Advanced Linux PCI Services / FPGA-development support and drivers
- - UFO: Pipelined parallel image-processing framework
- - UCA: Universal camera abstraction library
- - Concert: Control system for synchrotron tomography
- - Parallel algorithms and software
- - Fast parallel back-projection
- - Micro partical imaging velocemetry (uPIV)
- - GPU-based track trigger study for high energy physics
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- - Current:
- - KaaS Katrin as a Service
- - KATRIN SCS Katrin slow control and data acquisition system
- - Weather Tower Data management for meteorologic instruments
- - ROOF Online tomographic recontruction for object tracking
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- - Complete:
- - UFO / STROBOS-CODE
- - uPIV
- - ASTOR / NOVA
- - KITcube Control System
- - TOSKA Control System
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- - Technology transfer
- - none
- - Which infrastructure do we operate that is worth mentioning with the image on the website?
- - KaaS (Katrin as a Service): Cloud Platform for KATRIN experiment (production)
- - Parallel computing lab
- - Heterogeneous Computing Cluster with GPUs, FPGAs, and accelerators
- - High-speed Network Fabrics: 200 GBit/s Ethernet and Infiniband
- - Real-time Storage Systems with SSDs and magnetic storage
- - DAQ + slow control lab
- - FPGA-based DAQ systems
- - KATRIN test setup – A test system for the KATRIN Detector data acquisition system
- - NI based slow control systems
- - Cloud computing lab (future)
- - Results:
- - GPU Computing
- - Reviewing GPU architectures to build efficient back projection for parallel geometries
- - Balancing Load of GPU Subsystems to Accelerate Image Reconstruction in Parallel Beam Tomography
- - Investigation of the flow structure in thin polymer films using 3D µPTV enhanced by GPU
- - Evaluation of GPUs as a level-1 track trigger for the High-Luminosity LHC
- - An Open Source GPU Accelerated Framework for Flexible Algebraic Reconstruction at Synchrotron Light Sources
- - GPU-optimized Direct Fourier Method for On-line Tomography
- - A GPU-Based Architecture for Real-Time Data Assessment at Synchrotron Experiments
- - UFO
- - UFO – A Scalable Platform for High-Speed Synchrotron X-ray Imaging
- - Real-time image-content-based beamline control for smart 4D X-ray imaging
- - High-throughput data acquisition and processing for real-time X-ray imaging
- - UFO: A scalable GPU-based image processing framework for on-line monitoring
- - A PCIe DMA architecture for multi-gigabyte per second data transmission
- - Ultra-fast streaming camera platform for scientific applications
- - Data management and Control
- - WAVE: A 3D Online Previewing Framework for Big Data Archives
- - Focal-plane detector system for the KATRIN experiment
- - Advanced data extraction infrastructure: Web based system for management of time series data
- - Applications
- - Ground-based observations of thunderstorm-correlated fluxes of high-energy electrons, gamma rays, and neutrons (most cited ASEC paper)
- - Catalog of 2017 Thunderstorm Ground Enhancement (TGE) events observed on Aragats
- - Improved upper limit on the neutrino mass from a direct kinematic method by KATRIN
- - Parasitoid biology preserved in mineralized fossils
- - KITcube – a mobile observation platform for convection studies deployed during HyMeX
- - The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data.
- - Ultra-fast detector for wide range spectral measurements
- - Ultrafast linear array detector for real-time imaging
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