The Intel® Quark™ Microcontroller D2000 features two UART interfaces. This document describes how to program these UART interfaces using the Intel® Quark™ Microcontroller Software Interface (QMSI).
This Intel® RealSense™ Robotics Development Kit tutorial shows you how to configure a "Hello World" external LED blink using the GPIO pins on the UP board included with the kit.
We are pleased to announce 20 how-to Intel® Technology code samples in Java. These applications are part of a series of how-to Intel® IoT Technology code sample exercises using the Intel® IoT Developer Kit, Intel® Edison development platform, APIs, and other technologies, and are designed for anyone interested in learning IoT development.
The purpose of this lab is to show how to program the Intel® Quark™ Microcontroller D2000 PWM module and Bosch* BMC150 accelerometer integrated in the Intel® Quark™ Microcontroller Developer Kit D2000 board, using Quark Microcontroller Software Interface (QMSI) and Intel® System Studio 2016 for Microcontrollers.
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
I use the following code to solve complex symmetric matrix by Pardiso and get result with few NaN with an output error = 0.
I'm using intel composer xe 13.1.3 on linux.
The purpose of this lab is to provide an introduction to the programming of the Intel® Quark™ Microcontroller D2000 using Intel® System Studio 2016 for Microcontrollers. The project used in this lab is a Button and LED sample. This sample demonstrates using D2000 GPIO capabilities, including input, output, and interrupts. The sample uses the on-board user LED and user switch present on the Intel...
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.