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Intel® Parallel Studio XE 2017 Update 2 Readme

Deliver top application performance and reliability with Intel® Parallel Studio XE 2017. This C++ and Fortran software development suite simplifies the design, build, debug, and tune of applications that take advantage of scalable MPI, thread and vector parallel processing to boost application performance.
Authored by Gergana S. (Intel) Last updated on 02/24/2017 - 13:22
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Free App Testing on Intel-Based Android Devices with Testdroid Cloud

Testing your Android apps is one of the big challenges of being an Android developer. Luckily, there are lots of online services that can help you test your apps remotely on a variety of devices.

Authored by Bancroft, Joshua A Last updated on 02/24/2017 - 12:55
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Win a Trip to Barcelona - Enter the Connect and Enrich Android App Challenge

Want to win one of ten trips to Barcelona, along with a ticket to Mobile World Congress 2015 and a spot to present at the Mobile Premier Awards?

Authored by Bancroft, Joshua A Last updated on 02/24/2017 - 12:55
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Now Available: Android SDK x86 System Image with Google APIs

If you've used the Android SDK, you've probably noticed that Intel Atom x86 system images for the emulator have been availab

Authored by Bancroft, Joshua A Last updated on 02/24/2017 - 12:53
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现已推出:采用 Google API 的 Android SDK x86 系统映像

如果您使用过 Android SDK,可能会注意到,面向模拟器的英特尔凌动 x86 系统映像已经推出一段时间。如果系统映像无法访问 Google API,您可能会感到非常沮丧。

Authored by Bancroft, Joshua A Last updated on 02/24/2017 - 12:53
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Intel® Distribution for Python 2017 Update 2 Readme

Intel® Distribution for Python powered by Anaconda gives you ready access to tools and techniques for high performance to supercharge all your Python applications on modern Intel platforms.

Authored by Gergana S. (Intel) Last updated on 02/22/2017 - 16:59
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面向英特尔® 并行计算中心的新闻和

Authored by Horta, Areli Last updated on 02/15/2017 - 11:03
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Noticias de los Intel® Parallel Computing Centers

Authored by Horta, Areli Last updated on 02/15/2017 - 10:59
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News for Intel® Parallel Computing Centers

Authored by admin Last updated on 02/14/2017 - 10:49
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BigDL:一种面向 Apache Spark 的分布式深度学习库

As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
Authored by Tao W. (Intel) Last updated on 02/14/2017 - 00:03
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