Durante os dias 25 e 26 de Março, o grupo de Software da Intel organizou um Hackathon para o desenvolvimento de apps para dispositivos móveis com HTML5, com foco em apps educacionais. O evento foi realizado na UNESP em São Paulo, e permitiu a participação remota via Internet de desenvolvedores de outros estados e cidades brasileiras.
This is an update to the Software Occlusion Culling sample. This update consists of new features and optimizations which have reduced the total cull time and the total frame time by a factor of 4X and 2X respectively. Below is a screen shot of the updated sample.
Here is a list of the new features / updates that are included in this version of the sample:
Here are my entries for the Perceptual Challenge submitted a few Wednesday's ago. To add more value to the Show&Tell, I thought I’d also include my lessons learned while making each of these apps.
Intel(R) Math Kernel Library (Intel(R) MKL) has full support for the Intel(R) Xeon Phi(TM) Co-processor and supports the following compute models, one of which has the capability to use both multicore host and many-core co-processors at the same time. Here is a short summary of the execution models. In this article, we will describe data sizes and parallel programming / offload techniques best benefit from a particular MKL execution model: