Friday, March 7, 2008

FORMATIONS DFCG


FORMATIONS DFCG

Prenez date avec nos séminaires de formation du 1er semestre.

Pour vous inscrire, il vous suffit de cliquer sur le(s) séminaire(s) de votre choix et de renvoyer votre bulletin d'inscription par fax ou courrier


Télécharger

le catalogue complet

Pour tout renseignement, merci de contacter Pierre Jaudoin

01 42 27 82 60

pierrejaudoin@dfcg.asso.fr

DIRECTEURS FINANCIERS

Accompagner/devenir le manager d'un centre de profit

"Couvrir à haut niveau le processus amont du CDG : vision - stratégie - planification pluriannuelle - plan d'action"

Mercredi 18 et jeudi 19 juin

Analyse financière des comptes consolidés

"Maîtriser et comprendre l'impact des normes IAS-IFRS sur l'analyse financière"

Mercredi 19 et jeudi 20 mars

Mardi 27 et mercredi 28 mai

Actualiser vos connaissances en normes IFRS

"Effectuer une revue des évolutions récentes"

Jeudi 20 mars

Lundi 9 juin

Appliquer les normes IAS-IFRS

"Pour une mise en pratique approfondie"

Vendredi 21 mars

Mardi 10 juin

Mettre en oeuvre un dispositif de contrôle interne et de maîtrise des risques

"Bâtir une méthodologie adaptée à une entreprise de taille moyenne"

Lundi 31 mars et mardi 1er avril

Lundi 2 et mardi 3 juin

Savoir évaluer une entreprise

"Comprendre et mettre en oeuvre les méthodes d'évaluation"

Lundi 31 mars et jeudi 1er avril

Jeudi 12 et vendredi 13 juin


CONTROLEURS DE GESTION

Améliorer et piloter la performance industrielle

"Concevoir et mettre en oeuvre un contrôle de gestion adapté"

Jeudi 15 et vendredi 16 mai

Mettre en oeuvre et finaliser une démarche ABC/ABM

"Le mode d'emploi pour améliorer la rentabilité de votre entreprise"

Lundi 19 et mardi 20 mai

Le contrôle de gestion informatique

"Une brique essentielle de la gouvernance des systèmes d'information"

Lundi 17 et mardi 18 mars

Mercredi 21 et jeudi 22 mai

Le contrôle de gestion sociale

"Suivre la masse salariale et piloter la performance RH"

Mardi 25 et mercredi 26 mars

Jeudi 29 et vendredi 30 mai

Pilotage de l'innovation

"Comment construire un processus d'arbitrage et mesurer les résultats"

Jeudi 27 et vendredi 28 mars

Mardi 3 et mercredi 4 juin

Traduire une stratégie en un ensemble pertinent d'indicateurs : la méthode OVAR

"Ovar : rapporcher mesure de performance et plans du comité de direction"

Mardi 25 et mercredi 26 mars

Mardi 10 et mercredi 11 juin

Mettre en oeuvre le tableau de bord stratégique et le Balanced Scorecard

"Comment construire une démarche d'alignement stratégique"

Mercredi 2 et jeudi 3 avril

Jeudi 5 et vendredi 6 juin

Thursday, March 6, 2008

Cool it

Google

Read original article. The banks of the Columbia River in Oregon used to be lined with aluminium smelters. Now they are starting to house what might, for want of a better phrase, be called data smelters. The largest has been installed by Google in a city called The Dalles. Microsoft and Yahoo! are not far behind. Google's plant consumes as much power as a town of 200,000 people. And that is why it is there in the first place. The cheap hydroelectricity provided by the Columbia River, which once split apart aluminium oxide in order to supply the world with soft-drinks cans and milk-bottle tops, is now being used to shuffle and store masses of information. Computing is an energy-intensive industry. And the world's biggest internet companies are huge energy consumers—so big that they are contemplating some serious re-engineering in order to curb their demand.

The traditional way of building data centres such as Google's is to link clusters of off-the-shelf server computers together in racks. Hundreds, even thousands, of such servers can be combined to achieve the sort of arithmetical horsepower more usually associated with a supercomputer. But the servers all require energy, of course, and so do the electronic links that enable them to work together. On top of that, once the energy has been used it emerges as heat. The advanced cooling systems required to get rid of this heat demand the consumption of more power still.

All of which is expensive. Though the price of computer hardware continues to plunge, the price of energy has been increasing. The result is that the lifetime cost of running a server now greatly outstrips the cost of buying it. A number of researchers are therefore looking for ways to operate big computer centres like the one at The Dalles more efficiently.

Horst Simon, a computer scientist at the Lawrence Berkeley National Laboratory in California, is working on something called the “climate computer”. The servers in data centres contain what are known as multicore processors. These combine a small number of powerful chips to do the calculations. Often these processors are more powerful than is strictly necessary for the sorts of jobs that data centres do. The climate computer would use arrays of less powerful, and hence less power-hungry, processors. The difference is staggering. Dr Simon and his colleagues think they can build a system that consumes a hundredth of the power of an existing data centre without too much loss of computational oomph.

Jonathan Appavoo, Volkmar Uhlig and Amos Waterland, three researchers at IBM, are taking a different approach. They have been tinkering with the architecture of the company's Blue Gene supercomputers. Blue Genes already use chips that consume much less power than do the microprocessors typically employed in data centres. They also use a specialised, energy-efficient communications system to handle the traffic between machines. This bespoke approach, IBM reckons, adds up to a machine that demands less energy per task, is more reliable, and occupies a lot less space than clusters bolted together from mass-produced servers.


Blue Gene computers are designed to excel at specialised, demanding tasks (they got their name because they were originally tested on some knotty problems in genomics). However, Dr Appavoo, Dr Uhlig and Dr Waterland think that, with a little tinkering, a network of Blue Genes could easily handle the software used by internet firms. Project Kittyhawk, as it is called, would link several thousand Blue Gene computers together to form a system with more than 60m processing cores and room to store 32 petabyes of data. A petabyte is a million gigabytes—and Kittyhawk, if it were built, would in theory be able to host the entire internet by itself without breaking sweat. What that would do to Oregon's economy remains to be seen.