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Considerations for tuning Your Intel® Xeon Linux*/Apache* Server

In this blog, I will discuss a list of useful Linux commands to run, to tune your system for running the Apache web service, as well as some Apache tuning configuration changes which have shown to

Authored by Thai Le (Intel) Last updated on 07/06/2019 - 17:00
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Part #1 - Tuning Java Garbage Collection for HBase

Part #1 of a multi-parts post, we will take a look on how to tune Java garbage collection (GC) for HBase focusing on 100% YCSB reads. In part #2, we will look at 100% writes and finally in part #3, we will tune Java GC for a mix of 50/50 read/writes. As already mentioned, we are using YCSB which seems to be the de facto NoSQL workload. We wont go into much details on how to install, configure...
Authored by Eric Kaczmarek (Intel) Last updated on 06/14/2017 - 16:10
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Will my Android App still run with ART instead of Dalvik?

 

With Android L, the virtual machine compiler will move to ART (Android RunTime) and only ART for 64 bit. So what do we know about ART vs Dalvik and what does it mean for App code?

Authored by Last updated on 03/11/2019 - 09:00
Blog post

Encryption/Decryption - invoking OpenSSL API through JNI calls

This blog outlines the steps needed to integrate Intel’s AES-NI instructions into an Android app via the OpenSSL library.

Authored by Neelima K. (Intel) Last updated on 06/14/2017 - 15:48
Blog post

Archived - Tips and Tricks for developing Apps with the Intel® RealSense™ SDK 2014 R1

The Intel® RealSense™ SDK has been discontinued. No ongoing support or updates will be available.

Authored by Last updated on 05/29/2018 - 09:32
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Archivado - Cómo trabajar con manos y gestos

Intel® RealSense™ SDK ha sido discontinuado. No habrá más actualizaciones ni continuará la asistencia.

Authored by Last updated on 06/06/2018 - 12:00
Blog post

Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Authored by James R. (Blackbelt) Last updated on 12/12/2018 - 18:00
Blog post

The JITter Conundrum - Just in Time for Your Traffic Jam

In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
Authored by David S. (Blackbelt) Last updated on 07/04/2019 - 20:00
Blog post

Understanding Intel® Optimizations in the Android* Runtime Compiler

The application developer generally writes a section of the application in the Java* language. This Java code is then transformed into an Android-specific bytecode, called the Dex bytecode. In the various flavors of Android’s major releases, there have been several ways to go from the bytecode format to the actual binary format that is run on the processor. For example, in the Jelly Bean* version...
Authored by Tao Wang (Intel) Last updated on 05/09/2019 - 21:50
Blog post

了解英特尔对 Android* 运行时编译器所做的优化

The application developer generally writes a section of the application in the Java* language. This Java code is then transformed into an Android-specific bytecode, called the Dex bytecode. In the various flavors of Android’s major releases, there have been several ways to go from the bytecode format to the actual binary format that is run on the processor. For example, in the Jelly Bean* version...
Authored by Tao Wang (Intel) Last updated on 05/09/2019 - 21:50