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Suren A. Chilingaryan 3 years ago
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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
+    
+    - 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
+	
+    - Complete:
+	- UFO / STROBOS-CODE
+	- uPIV
+	- ASTOR / NOVA
+	- KITcube 	Control System
+	- TOSKA 	Control System
+	
+
+ - 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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