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.
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：
For my first blog entry on the Intel® Energy Checker SDK, I will show how to write an ESRV support library which will simulate a power draw slightly more sophisticated than the stock esrv_simulated_device library of the SDK. To give a bit of context, remember that ESRV is the SDK tool in charge of driving a power analyzer and sampling the power and energy readings. This data is then made available to software (SW) using the SDK API. One of the key benefits of processing this way is to completely decouple SW from the burden of measuring power.
Your first encounter with the Intel® IPP library can be overwhelming, due to the number of functions contained within. At Intel we sometimes even "proudly" make statements like "over 12,000 functions in 16 domains" in our marketing literature!
Don't be overwhelmed by such chest-beating marketing statements! (Not that many engineers ever would take them seriously.)