340 Matching Results

Using Intel® C++ Compiler with the Eclipse* IDE on Linux*

This article describes how to integrate and use the Intel(R) C++ Compiler for Linux* with the Eclipse* IDE
Authored by Georg Zitzlsberger (Intel) Last updated on 08/27/2015 - 07:57

Android* 姜饼人版本英特尔® 凌动™ x86 系统镜像安装指南——推荐


本文档将全程指导您安装安卓* 姜饼人版本英特尔® 凌动™ x86 镜像,您可以使用该镜像进行基于英特尔x86架构的开发。无论您使用哪种操作系统,下列步骤都是一样的。


Authored by hernan-alijo (Intel) Last updated on 08/27/2015 - 00:58

Intel® INDE 2015 Update 2 Beta Program

An introduction to the new Beta features integrated into Intel(R) INDE 2015 Update 2. Includes instructions for registering for the Beta Program, support, and more.
Authored by KARTHIYAYINI C. (Intel) Last updated on 08/26/2015 - 21:39

Quick Installation Guide for OpenCL™ Development on Windows* with Intel® INDE

Intel® INDE provides a comprehensive tool set for developing applications targeting both CPU and GPUs, enriching the development experience of an OpenCL developer.

Authored by Robert I. (Intel) Last updated on 08/24/2015 - 14:14

Начало работы с Intel® Energy Profiler для Android

Отправлено: Bill B. (Intel) 20 февраля 2015 г.

Authored by ALEXEY K. (Intel) Last updated on 08/21/2015 - 00:28

2014 Intel Cup National Collegiate Software Innovation Contest Winners

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Authored by Hai Shen (Intel) Last updated on 08/11/2015 - 23:47

Connect a GPRS modem to Intel® Edison

This article tries to explain how to establish a data network (using ppp) by connecting a GPRS shield

Authored by Raghu Kona (Intel) Last updated on 08/11/2015 - 12:26

Intel® Parallel Computing Center at Indiana University

The Indiana University Intel® Parallel Processing Center (Intel® PCC) is a multi-component interdisciplinary center. The initial activities involve Center Director Judy Qiu, an Assistant Professor in the School of Informatics and Computing, and Distinguished Professor of Physics Steven Gottlieb. Qiu will be researching novel parallel systems supporting data analytics and Gottlieb will be adapting...
Authored by admin Last updated on 08/04/2015 - 10:57

Intel® Parallel Computing Center at Princeton University, Princeton Neuroscience Institute and Computer Science Dept.

Intel® Xeon Phi™ coprocessors, based on Many-Integrated-Core (MIC) architecture, offer an alternative to GPUs for deep learning, because its peak floating-point performance and cost are on par with a GPU, while offering several advantages such as easy to program, binary compatible with host processor, and direct access to large host memory. However, it is still challenging to fully take...
Authored by admin Last updated on 08/04/2015 - 10:45

Intel® Parallel Computing Center at King Abdullah University of Science and Technology

The Intel® Parallel Computing Center (Intel® PCC) at King Abdullah University of Science and Technology (KAUST) aims to provide scalable software kernels common to scientific simulation codes that will adapt well to future architectures, including a scheduled upgrade of KAUST’s globally Top10 Intel-based Cray XC40 system.
Authored by admin Last updated on 08/04/2015 - 10:43
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