La realizzazione della Private Cloud richiede automazione, la creazione di nuovi sistemi, il deployment di nuove applicazioni, l'allocazione di maggiori risorse, tutto deve essere fatto meglio e prima. System Center Virtual Machine Manager permette di gestire il deployment della propria Private Cloud dalla fabric agli applicativi. In questa sessione entreremo nei meccanismi e nelle automazioni che Virtual Machine Manager mette a disposizione per realizzare questi obiettivi.
Data mining as a technology is used to analyze data by revealing patterns. These patterns can then be used to derive knowledge about data, and in turn this knowledge can be used to enhance application designs and the user experience. In this session, you are introduced to the data mining capabilities in SQL Server 2012 Analysis Services, and demonstrations on how to specifically develop data mining models that can be embedded into your applications. This session is guaranteed to thrill you with potential, and excite you with the ease in which it can be accomplished. Be warned that this session includes numerous demonstrations that show you how to embed data mining into your application designs. The demonstrations range from simple (involving no code!) to more sophisticated examples.
In this keynote, we will share the product roadmap, present the latest in Microsoft Project family of products and our cloud offerings and showcase plenty of demos that will get you charged for the rest of the conference! Prior to his current leadership role, Ludovic was General Manager for the Microsoft Project Business Unit, where his responsibilities led him to run product development and head the strategic direction for the Project business. Ludovic has been involved with the Microsoft Project team since 1994 in various technical leadership roles for the Project and Project Server line of products. Ludovic holds a BS in CS from ESIGELEC, an Electrical Engineering school based in France.
Contemporary computer architectures make it possible for slow code to work reasonably well. They also make it difficult to write really fast code that exploits the CPU amenities to their fullest. And the smart money is on fast code—we’re running out of cool things to do with slow code, and the battle will be on doing really interesting and challenging things at the envelope of what the computing fabric endures.
So how to write quick code, quickly? Turns out it’s quite difficult because today’s complex architectures defy simple rules to be applied everywhere. It is not uncommon that innocuous high-level artifacts have a surprisingly high impact on the bottom line of an application’s run time (and power consumed).
This talk is an attempt to set forth a few pieces of tactical advice for writing quick code in C++. Applying these is not guaranteed to produce optimal code, but is likely to put it reasonably within the ballpark.
These tips are based on practical experience but also motivated by the inner workings of modern CPUs.