In this tutorial, we demonstrate some possible ways to optimize an application to run on the Intel® Xeon Phi™ processor
The Microsoft Azure* IoT Gateway SDK gives you a myriad of tools that allow you to enable gateway devices in multiple ways. It can also enable almost any device with an internet connection to become a gateway. It works for both Windows* and Linux* development environments that have the ability to compile C and C++ code.
This series explains the math and the numeric. The author presented variations on the theme of particle-based fluid simulation and included a model of thermal convection and combustion so that the system can also model flames. He showed two numerical approaches—integral and differential—compared their relative merits, and presented a hybrid approach that exploits the benefits of each approach while avoiding their pitfalls. The result is a fast (linear in the number of particles) and smooth fluid simulation capable of simulating wispy fluids like flames and smoke.
This paper will show you how to use an Intel® NUC to connect sensors on an Arduino 101* (branded Genuino 101* outside the U.S.) to the Amazon Web Services (AWS)* IoT service. You’ll see how to read real-time sensor data from the Arduino 101, view it locally on the Intel® NUC, and send it to AWS IoT where the data can be stored, visualized and processed in the cloud. We’ll use Node-RED* on the Intel® NUC to create processing flows to perform input, processing and output functions that drive our application.
In this paper, we walk through a 3D Animation algorithm example and describe some techniques and methodologies that may benefit your next vectorization endeavors. We also integrate the algorithm with SIMD Data Layout Templates (SDLT), which is a feature of Intel® C++ Compiler, to improve data layout and SIMD efficiency. Includes code sample.
Financial service customers need to improve financial algorithmic performance for models such as Monte Carlo, Black-Scholes, and others. SIMD programming can speed up these workloads. In this paper, we perform data layout optimizations using two approaches on a Black-Scholes workload for European options valuation from the open source Quantlib library.