"Compaq is the only supplier to develop its own Itanium-based server," she said.įor more on servers go to www.itnetwork. McDowell also announced that Compaq will soon release a server based on Itanium, Intel's long-awaited 64-bit chip. Accueil Rangement quasi-optimal du domicile Algèbre linéaire.
#Hyperplan dense windows#
She said the new servers, which run Windows or Linux, will reduce cable density - the tangle of interlinking wires that emerge from the back of networked systems. This enables businesses to add and subtract overall system power as and when it is required.Īpplication service providers typically have limited floor space in which to stack their servers and, according to McDowell, they are willing to pay a premium to pack as much processing power into as little space as possible. The market for skinny servers has grown rapidly in the past year as application service providers and e-commerce companies opt for hundreds of single and dual-processor servers to run their businesses, rather than a few large multiprocessor servers. hyperplan: French (fra) (maths) hyperplane. Dans le K -espace vectoriel K X des polynmes une indtermine, l'ensemble des polynmes divisibles par X est un hyperplan, car c'est le noyau de la forme linaire P P (0).
In 3 dimensions, the hyperplane is a regular 2-d plane. A key gizmo in Gibbards formal model of normative judgment is the thing he used to call a 'complete system of norms' (Gibbard 1986, 1990), and which, by around Gibbard 2003, evolved into the hyperplan. In 2 dimensions, the hyperplane is just a line. A hyperplane in p-dimensions is a p-1 dimensional flat subspace that lies inside the larger p-dimensional space. McDowell dubbed the market preference for ever-thinner servers as the "Calista Flockhart" trend, referring to recent newspaper reports of the increasingly skinny frame of actress Calista Flockhart, star of the Channel 4 show Ally McBeal. Dans le K -espace vectoriel des matrices carres d'ordre n coefficients dans un corps K, l'ensemble des matrices de trace nulle est un hyperplan. It is much harder to visualize how the data can be linearly separable, and what the decision boundary will look like.
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