Resources

Intel built a Zoo! OK, it's an Analytics Zoo, so you can build BigDL applications using an end-to-end analytics + AI platform, with built-in deep learning models, on top of Apache Spark and BigDL.

Intel® DAAL has optimized a collection of practical algorithms for this powerful ML technique, enabling state-of-the-art accuracy for a variety of regression and classification tasks.

Data organization is no longer restricted to storage and memory. The Persistent Memory Development Kit (PMDK) can be used to write applications that take advantage of persistent memory.

Whether you are a game artist/designer, gameplay programmer, or game engine programmer, Intel® Graphics Performance Analyzers provide the game developer tools that enable smooth game experiences.

Identify and solve the most common performance problems with the Intel® VTune™ Amplifier Performance Analysis Cookbook!

Optimize a million-plus lines of code, using multiple threads for an interconnected mesh of devices? Dinyar Dastoor shares his personal thoughts on these challenges and the Intel® System Studio 2018 solution.

Intel's Dinyar Dastoor gets personal and provides actionable steps that can help you bring your idea to market. Learn how to seamlessly import your prototype applications from Arduino Create* to Intel® System Studio.

JuliaPro* with Intel® Math Kernel Library—and the Celeste Project*—shows why Julia is the first high-productivity language to scale well on clusters.

Learn how to quickly and efficiently compress and decompress data for cloud, mobile, and client applications, and how workload characteristics can decide which algorithm to use.

Intel® Data Analytics Acceleration Library provides optimized building blocks for data analysis and machine learning on Intel® platforms, and is used by data miners to produce optimum models.