Intel® Core™ Processors

OPTIMIZING STORAGE SOLUTIONS USING THE INTEL® INTELLIGENT STORAGE ACCELERATION LIBRARY

With the growing number of devices connected to the Cloud/Internet, data is being generated from many different sources including smartphones, tablets, and Internet of Things devices. The demand for storage is growing every year.  The combination of the Intel® Xeon® processor family and the Intel® Intelligent Storage Library (Intel® ISA-L) can provide developers with the tools to process data securely and quickly and even reduce storage space requirements.

  • Developers
  • Linux*
  • Microsoft Windows* 8.x
  • Unix*
  • Cloud Services
  • Networking
  • Server
  • C/C++
  • Beginner
  • Intermediate
  • Intel® Intelligent Storage Acceleration Library (ISA-L)
  • Intel® Intelligent Storage Acceleration Library
  • Storage
  • library
  • server
  • Cloud Computing
  • Development Tools
  • Enterprise
  • Intel® Atom™ Processors
  • Intel® Core™ Processors
  • Open Source
  • Optimization
  • Parallel Computing
  • Storage
  • Threading
  • Vectorization
  • 使用英特尔® 智能存储加速库优化存储解决方案

    随着越来越多的设备连接到云/互联网,出现了各种不同的源(包括智能手机、平板电脑和物联网设备)生成数据。 存储需求逐年攀升。  英特尔® 至强™ 处理器产品家族和英特尔® 智能存储库(英特尔® ISA-L)的结合为可发人员提供了安全、快速处理数据,甚至降低存储空间需求的工具。

    在中国,英特尔与奇虎 360 科技有限公司合作将英特尔 ISA-L 集成至其存储解决方案。 这使得其性能提升了 10 倍,存储空间需求降低了 2/3。 阅读案例研究

    英特尔® ISA-L 可帮助加速和优化任何设备(从小型的办公 NAS 设备到企业级存储系统)上基于英特尔® 架构 (IA) 的存储。   本库中提供的函数可在存储可恢复性、数据完整性、数据安全性提供帮助,并可加速数据压缩机制。  本文从较高的层面对英特尔 ISA-L 的函数进行了概述。

    英特尔 ISA-L 在存储应用中使用了以下函数:

  • Linux*
  • Unix*
  • Cloud Services
  • Server
  • C/C++
  • Beginner
  • Intermediate
  • Intel® Intelligent Storage Acceleration Library
  • Storage
  • library
  • server
  • Cloud Computing
  • Development Tools
  • Enterprise
  • Intel® Atom™ Processors
  • Intel® Core™ Processors
  • Open Source
  • Optimization
  • Parallel Computing
  • Threading
  • Vectorization
  • Parallel Programming with C#

    By Bruno Sonnino

    Multicore processors have been around for many years, and today, they can be found in most devices. However, many developers are doing what they’ve always done: creating single-threaded programs. They’re not taking advantage of all the extra processing power. Imagine you have many tasks to perform and many people to perform them, but you are using only one person because you don’t know how to ask for more. It’s inefficient. Users are paying for extra power, but their software is not allowing them to use it.

  • Developers
  • Students
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Windows*
  • C#
  • Beginner
  • Intermediate
  • Intel® VTune™ Amplifier XE
  • Intel® VTune™ Amplifier
  • Intel® Atom™ Processors
  • Intel® Core™ Processors
  • Parallel Computing
  • Chromebooks and the new Citrix* Receiver for Chrome

    For any of you still thinking of the Chromebook™ notebook computer as just a consumer browsing device, think again. It's no longer just notebook computers running the Chrome OS™ operating system, it's also Chromebox™ computing devices, ChromeBase,*  and more - indicating form factor is not a blocking issue. And with virtualization, these systems can run Windows apps on Chrome OS from Microsoft* Office* to intense graphic apps with minimal impact on latency or power drain. 

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