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See detailUL HPC Tutorial: Parallel computations with OpenMP/MPI
Varrette, Sébastien UL; Plugaru, Valentin UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 5 (1 UL)
See detailUL HPC Tutorial: (Advanced) Prototyping with Python
Parisot, Clément UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 11 (3 UL)
See detailUL HPC Tutorial: Bio-informatics workflows and applications
Plugaru, Valentin UL; Diehl, Sarah UL; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 10 (2 UL)
See detailUL HPC Tutorial: HPC Containers with Singularity
Plugaru, Valentin UL; Varrette, Sébastien UL; Diehl, Sarah UL et al

Presentation (2018, June)

Detailed reference viewed: 19 (1 UL)
See detailUL HPC Tutorial: HPC workflow with sequential jobs
Cartiaux, Hyacinthe UL; Varrette, Sébastien UL; Plugaru, Valentin UL et al

Presentation (2018, June)

Detailed reference viewed: 9 (2 UL)
See detailUL HPC Tutorial: Statistical Computing with R
Ginolhac, Aurélien UL; Emeras, Joseph; Varrette, Sébastien UL et al

Presentation (2018, June)

Detailed reference viewed: 30 (11 UL)
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See detailUL HPC users'session: Mastering big data
Bisdorff, Raymond UL

Presentation (2018, June 13)

We illustrate in this presentation an optimized HPC implementation for outranking digraphs of huge orders, up to several millions of decision alternatives. The proposed outranking digraph model is based ... [more ▼]

We illustrate in this presentation an optimized HPC implementation for outranking digraphs of huge orders, up to several millions of decision alternatives. The proposed outranking digraph model is based on a quantiles equivalence class decomposition of the underlying multicriteria performance tableau. When locally ranking each of these ordered components, we may readily obtain an overall linear ranking of big sets of decision alternatives. The proposed optimization strategies tackles algorithmic refinements of the ranking algorithm, reducing the size of python data objects, typing the data for efficient cython and C compilation, efficient sharing of static data via global python variables, using a multiprocessing task queue, and, last but not least, use the efficient UL HPC equipements. [less ▲]

Detailed reference viewed: 22 (2 UL)
See detailUlmen im Mittelalter
Kreutz, Bernhard René UL

in Ulmen, Ortsgemeinde (Ed.) Chronik Ulmen (2000)

Detailed reference viewed: 36 (0 UL)
See detailDer Ulmener Burgfrieden von 1399 in seinem historischen Kontext
Kreutz, Bernhard René UL

in Hirbodian, Sigrid; Jörg, Christian; Klapp, Sabine (Eds.) et al Pro multis beneficiis. Festschrift für Friedhelm Burgard. Forschungen zur Geschichte der Juden und des Trierer Landes (2012)

Detailed reference viewed: 18 (0 UL)
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Peer Reviewed
See detailUltimate strengths of FRC rectangular columns subjected to simulated seismic loading: Experimental database and new models
Cai, Gaochuang UL; Degee, Herve

in Archives of Civil and Mechanical Engineering (2017)

While there are many experimental investigations focusing on seismic behaviour of fibre reinforced concrete (FRC) columns, the studies regarding the accuracies and conservativeness of existing seismic ... [more ▼]

While there are many experimental investigations focusing on seismic behaviour of fibre reinforced concrete (FRC) columns, the studies regarding the accuracies and conservativeness of existing seismic strength models of FRC columns are limited. This paper presents a seismic research database of 322 FRC columns obtained from a comprehensive literature investigation. The characteristic of the database and the effects of main variables on the seismic strengths of FRC columns are analyzed in detail, the accuracies of existing strength models of FRC column are also examined as well. In addition, using the database, considering the effects of fibre and other structural factors on FRC columns, Priestley et al. shear and CFB-FIP moment models are modified respectively. Results show that the two proposed strength models both present better evaluation than other models. On the other hand, a detailed method for assessing the potential failure mode of FRC column subjected to seismic loads is also suggested using the two strength models. The comparative results verify the feasibilities and accuracies of the assessment method in FRC columns. [less ▲]

Detailed reference viewed: 8 (0 UL)
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Peer Reviewed
See detailUltra-Broadband Bow-tie Antenna
Moonshiram, Anusha UL; Marso, Michel UL

in NNGT International Journal on Networking and Communication (2015), 4

An ultra-broadband bow-tie with a VSWR < 2 from 5 to 60 GHz is revealed. The bow-tie antenna shows frequency independence properties and resonates periodically at multiples of its resonance frequency of 7 ... [more ▼]

An ultra-broadband bow-tie with a VSWR < 2 from 5 to 60 GHz is revealed. The bow-tie antenna shows frequency independence properties and resonates periodically at multiples of its resonance frequency of 7.7 GHz with the return loss always less than -10 dB. The antenna is linearly polarized and has a maximum directivity of 6 dBi in both the elevation and azimuth planes in the farfield. The antenna is a symmetrical design with straight ends and a flare angle of 90°. It is a simple metal layer on top of a substrate layer which is fed on the metal layer right at the center with closely spaced coplanar striplines. The flare angle and the straight-end of the bow-tie antenna are varied and the 90° straight-end bow-tie antenna is compared with three other bow-tie antennas with flare angle of 60° and round-ends. All four bow-tie antennas have a low VSWR. The E-fields, H-fields and impedance plots of the ultra-broadband bow-tie antenna are shown. The impedance plot is in fact the impedance of frequency independent antennas of 189Ω or 60π across all frequencies. [less ▲]

Detailed reference viewed: 102 (4 UL)