PCaPAC2014 - List of Keywords (GPU)

Paper	Title	Other Keywords	Page
WCO201	Computing Infrastructure for Online Monitoring and Control of High-throughput DAQ Electronics	detector, controls, hardware, software	10
	S.A. Chilingaryan, C.M. Caselle, T. Dritschler, T. Faragó, A. Kopmann, U. Stevanovic, M. Vogelgesang KIT, Eggenstein-Leopoldshafen, Germany
	New imaging stations with high-resolution pixel detectors and other synchrotron instrumentation have ever increasing sampling rates and put strong demands on the complete signal processing chain. Key to successful systems is high-throughput computing platform consisting of DAQ electronics, PC hardware components, communication layer and system and data processing software components. Based on our experience building a high-throughput platform for real-time control of X-ray imaging experiments, we have designed a generalized architecture enabling rapid deployment of data acquisition system. We have evaluated various technologies and come up with solution which can be easily scaled up to several gigabytes-per-second of aggregated bandwidth while utilizing reasonably priced mass-market products. The core components of our system are an FPGA platform for ultra-fast data acquisition, Infiniband interconnects and GPU computing units. The presentation will give an overview on the hardware, interconnects, and the system level software serving as foundation for this high-throughput DAQ platform. This infrastructure is already successfully used at KIT's synchrotron ANKA.
	Slides WCO201 [2.948 MB]

FCO202	OpenGL-Based Data Analysis in Virtualized Self-Service Environments	software, network, hardware, synchrotron	237
	V. Mauch, M. Bonn, S.A. Chilingaryan, A. Kopmann, W. Mexner, D. Ressmann KIT, Karlsruhe, Germany
	Funding: Federal Ministry of Education and Research, Germany Modern data analysis applications for 2D/3D data samples apply complex visual output features which are often based on OpenGL, a multi-platform API for rendering vector graphics. They demand special computing workstations with a corresponding CPU/GPU power, enough main memory and fast network interconnects for a performant remote data access. For this reason, users depend heavily on available free workstations, both temporally and locally. The provision of virtual machines (VMs) accessible via a remote connection could avoid this inflexibility. However, the automatic deployment, operation and remote access of OpenGL-capable VMs with professional visualization applications is a non-trivial task. In this paper, we discuss a concept for a flexible analysis infrastructure that will be part in the project ASTOR, which is the abbreviation for “Arthropod Structure revealed by ultra-fast Tomography and Online Reconstruction”. We present an Analysis-as-a-Service (AaaS) approach based on the on-demand allocation of VMs with dedicated GPU cores and a corresponding analysis environment to provide a cloud-like analysis service for scientific users.
	Slides FCO202 [1.126 MB]

Paper

Title

Other Keywords

Page

WCO201

Computing Infrastructure for Online Monitoring and Control of High-throughput DAQ Electronics

detector, controls, hardware, software

10

S.A. Chilingaryan, C.M. Caselle, T. Dritschler, T. Faragó, A. Kopmann, U. Stevanovic, M. Vogelgesang
KIT, Eggenstein-Leopoldshafen, Germany

New imaging stations with high-resolution pixel detectors and other synchrotron instrumentation have ever increasing sampling rates and put strong demands on the complete signal processing chain. Key to successful systems is high-throughput computing platform consisting of DAQ electronics, PC hardware components, communication layer and system and data processing software components. Based on our experience building a high-throughput platform for real-time control of X-ray imaging experiments, we have designed a generalized architecture enabling rapid deployment of data acquisition system. We have evaluated various technologies and come up with solution which can be easily scaled up to several gigabytes-per-second of aggregated bandwidth while utilizing reasonably priced mass-market products. The core components of our system are an FPGA platform for ultra-fast data acquisition, Infiniband interconnects and GPU computing units. The presentation will give an overview on the hardware, interconnects, and the system level software serving as foundation for this high-throughput DAQ platform. This infrastructure is already successfully used at KIT's synchrotron ANKA.

Slides WCO201 [2.948 MB]

FCO202

OpenGL-Based Data Analysis in Virtualized Self-Service Environments

software, network, hardware, synchrotron

237

V. Mauch, M. Bonn, S.A. Chilingaryan, A. Kopmann, W. Mexner, D. Ressmann
KIT, Karlsruhe, Germany

Funding: Federal Ministry of Education and Research, Germany
Modern data analysis applications for 2D/3D data samples apply complex visual output features which are often based on OpenGL, a multi-platform API for rendering vector graphics. They demand special computing workstations with a corresponding CPU/GPU power, enough main memory and fast network interconnects for a performant remote data access. For this reason, users depend heavily on available free workstations, both temporally and locally. The provision of virtual machines (VMs) accessible via a remote connection could avoid this inflexibility. However, the automatic deployment, operation and remote access of OpenGL-capable VMs with professional visualization applications is a non-trivial task. In this paper, we discuss a concept for a flexible analysis infrastructure that will be part in the project ASTOR, which is the abbreviation for “Arthropod Structure revealed by ultra-fast Tomography and Online Reconstruction”. We present an Analysis-as-a-Service (AaaS) approach based on the on-demand allocation of VMs with dedicated GPU cores and a corresponding analysis environment to provide a cloud-like analysis service for scientific users.

Slides FCO202 [1.126 MB]