Software Validation Infrastructure for the Atlas High-Level Trigger Validation and Infrastructure for the ATLAS High-Level Trigger

Lima, D. E. Ferreira de; Adorisio, C.; Ask, S.; Beauchemin, P. H.; Bell, P. J.; Biglietti, M.; Coccaro, A.; Ehrenfeld, W.; Faulkner, Peter; George, S.; Gonçalo, R.; Hamilton, A.; Igonkina, O.; Kirk, J.; Kwee, R.; Mašík, J.; Mincer, A. I.; Monticelli, F.; Damazio, D. Oliveira; Omachi, C.; Panikashvili, N.; Reale, V. Perez; Potter, C. J.; Granados, Fernando Quinonez; Reinsch, A.; Patarroyo, Diego Julián Rodríguez; Seixas, J. M.; Sinev, N. B.; Strom, D.; Sutton, M. R.; Venturi, A.; Winklmeier, F.; Zhao, L.

doi:10.22323/1.070.0084

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…To complete the mixing analysis, we proposed limiting expressions of the JS metric in the case of general Gaussian distributions that share the same β-parameter. These estimates can become handy in practical cases as these distributions, together with the KL and JS divergences, are used in many areas of applied mathematics, and in particular in data analysis [28][29][30][31]. Finally, we discussed the challenging problem of mixing with chemical reactions, deleting most of the memory, and proposed two consistent ways of addressing the problem at hand.…”

Section: Discussionmentioning

confidence: 99%

On the role of composition entropies in the statistical mechanics of polydisperse systems

Paillusson¹,

Pagonabarraga²

2014

J. Stat. Mech.

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Polydisperse systems are commonly encountered when dealing with soft matter in general or any non simple fluid. Yet their treatment within the framework of statistical thermodynamics is a delicate task as the latter has been essentially devised for simple -non fully polydispersesystems. In this paper, we address the issue of defining a non ambiguous combinatorial entropy for these systems. We do so by focusing on the general property of extensivity of the thermodynamic potentials and discussing a specific mixing experiment. This leads us to introduce the new concept of composition entropy for single phase systems that we do not assimilate to a mixing entropy. We then show that they do not contribute to the thermodynamics of the system at fixed composition and prescribe to substract ln N ! from the free energy characterizing a system however polydisperse it can be. We then re-derive general expressions for the mixing entropy between any two polydisperse systems and interpret them in term of distances between probability distributions and show that one of these metrics relates naturally to a recent extension of Landauer's principle. We then propose limiting expressions for the mixing entropy in the case of mixing with equal proportion in the original compositions and finally address the challenging problem of chemical reactions.

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Section: Discussionmentioning

confidence: 99%

On the role of composition entropies in the statistical mechanics of polydisperse systems

Paillusson¹,

Pagonabarraga²

2014

J. Stat. Mech.

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The ATLAS High Level Trigger infrastructure, performance and future developments

Winklmeier

2009

2009 16th IEEE-NPSS Real Time Conference

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Abstract-The ATLAS High Level Trigger (HLT) is a distributed real-time software system that performs the final online selection of events produced during proton-proton collisions at the Large Hadron Collider (LHC). It is designed as a two-stage event filter running on a farm of commodity PC hardware. Currently the system consists of about 850 multi-core processing nodes that will be extended incrementally following the increasing luminosity of the LHC to about 2000 nodes depending on the evolution of the processor technology. Due to the complexity and similarity of the algorithms a large fraction of the software is shared between the online and offline event reconstruction. The HLT Infrastructure serves as the interface between the two domains and provides common services for the trigger algorithms. The consequences of this design choice will be discussed and experiences from the operation of the ATLAS HLT during cosmic ray data taking and first beam in 2008 will be presented. Since the event processing time at the HLT is directly related to the number of processing nodes required, special emphasis has to be put on monitoring and improving the performance of the software. Both open-source as well as custom developed tools are used for this task and a few usecases will be shown. Finally, the implications of the prevailing industry trend towards multi-and many-core processors for the architecture of the ATLAS HLT will be discussed. The use of multi-processing and multi-threading techniques within the current system will be presented. Several approaches to make optimal use of the increasing number of cores will be investigated and the practical implications of implementing each approach in the current system with hundreds of developers and several hundred thousand lines of code will be examined.

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Software Validation Infrastructure for the Atlas High-Level Trigger Validation and Infrastructure for the ATLAS High-Level Trigger

Cited by 2 publications

References 4 publications

On the role of composition entropies in the statistical mechanics of polydisperse systems

On the role of composition entropies in the statistical mechanics of polydisperse systems

The ATLAS High Level Trigger infrastructure, performance and future developments

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