The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*, R, and Matlab*. for highly efficient data access.
We demonstrate how to create a Sierpinski Carpet in OpenCL 2.0
Soon Ultrabooks will become widely available and will come with new features. Developers will want to know what tools they can use to take advantage of the new capabilities. There will be two main components of the new, supporting OS: the traditional Desktop interface and the New Windows* 8 User Interface (UI). This blog will cover the following topics:
Teach Parallelism to Undergraduates Using Interactive Game Demos