Evaluation and simulation of event building techniques for a detector at the LHC

The main objectives of future experiments at the Large Hadron Collider are the search for the Higgs boson (or bosons), the verification of the Standard Model and the search beyond the Standard Model in a new energy range up to a few TeV. These experiments will have to cope with unprecedented high data rates and will need event building systems which can offer a bandwidth of 1 to 100GB/s and which can assemble events from 100 to 1000 readout memories at rates of 1 to 100kHz. This work investigates the feasibility of parallel event building sys- tems using commercially available high speed interconnects and switches. Studies are performed by building a small-scale prototype and by modelling this proto- type and realistic architectures with discrete-event simulations. The prototype is based on the HiPPI standard and uses commercially available VME-HiPPI interfaces and a HiPPI switch together with modular and scalable software. The setup operates successfully as a parallel event building system of limited size in different configurations, with different input data and different data flow management schemes. Realistic parameters of 40MB/s for the link speed and of 100us for the overhead have been measured and the total throughput is scalable with the number of destinations. The prototype measure- ments lead to a parametrized model of a parallel event building system which is implemented in a simulation program. This is used to simulate large-scale systems including a realistic model of the ATLAS event building system with realistic event size distributions from off-line simulations. The influence of different parameters and the scaling behaviour are investigated. Different data flow management schemes for destination assignment and traffic shaping are studied as well as a two-stage event building system

The connection machine

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.Bibliography: leaves 134-157.by William Daniel Hillis.Ph.D

Aeronautical Engineering: A continuing bibliography with indexes

This bibliography lists 512 reports, articles and other documents introduced into the NASA scientific and technical information system in April 1982

An agent-based visualisation system.

This thesis explores the concepts of visual supercomputing, where complex distributed systems are used toward interactive visualisation of large datasets. Such complex systems inherently trigger management and optimisation problems; in recent years the concepts of autonomic computing have arisen to address those issues. Distributed visualisation systems are a very challenging area to apply autonomic computing ideas as such systems are both latency and compute sensitive, while most autonomic computing implementations usually concentrate on one or the other but not both concurrently. A major contribution of this thesis is to provide a case study demonstrating the application of autonomic computing concepts to a computation intensive, real-time distributed visualisation system. The first part of the thesis proposes the realisation of a layered multi-agent system to enable autonomic visualisation. The implementation of a generic multi-agent system providing reflective features is described. This architecture is then used to create a flexible distributed graphic pipeline, oriented toward real-time visualisation of volume datasets. Performance evaluation of the pipeline is presented. The second part of the thesis explores the reflective nature of the system and presents high level architectures based on software agents, or visualisation strategies, that take advantage of the flexibility of the system to provide generic features. Autonomic capabilities are presented, with fault recovery and automatic resource configuration. Performance evaluation, simulation and prediction of the system are presented, exploring different use cases and optimisation scenarios. A performance exploration tool, Delphe, is described, which uses real-time data of the system to let users explore its performance