云计算

Intel Cluster Ready FAQ: Software vendors (ISVs)

Why should we join the Intel Cluster Ready program?
A: By offering registered Intel Cluster Ready applications, you can provide the confidence that applications will run as they should, right away, on certified clusters. Participating in the program will help you increase application adoption, expand application flexibility, and streamline customer support.
Learn more about the Intel Cluster Ready program

Q: How do we register an application?

  • 开发人员
  • 合作伙伴
  • Linux*
  • 企业客户端
  • 云服务
  • 服务器
  • C#
  • C/C++
  • Intel® Cluster Checker
  • Intel® Cluster Ready
  • 消息传递接口
  • OpenMP*
  • Intel Cluster Checker
  • 云计算
  • 集群计算
  • 数据中心
  • 开发工具
  • 大型企业
  • 并行计算
  • Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

    Q: Why should we join the Intel® Cluster Ready program?
    A: By offering certified Intel Cluster Ready systems and certified components, you can give customers greater confidence in deploying and running HPC systems. Participating in the program will help you drive HPC adoption, expand your customer base, and streamline customer support. You will also gain access to the Intel Cluster Checker software tool and the library of pre-certified Intel Cluster Ready system reference designs.

  • 开发人员
  • 合作伙伴
  • Linux*
  • 企业客户端
  • 云服务
  • 服务器
  • C/C++
  • Fortran
  • Intel® Cluster Checker
  • Intel® Cluster Ready
  • 消息传递接口
  • OpenMP*
  • 云计算
  • 集群计算
  • 数据中心
  • 开发工具
  • 大型企业
  • 并行计算
  • Intel Cluster Ready FAQ: Customer benefits

    Q: Why should we select a certified Intel Cluster Ready system and registered Intel Cluster Ready applications?
    A: Choosing certified systems and registered applications gives you the confidence that your cluster will work as it should, right away, so you can boost productivity and start solving new problems faster.
    Learn more about what is Intel Cluster Ready and its benefits.

  • Linux*
  • 企业客户端
  • 云服务
  • 服务器
  • C/C++
  • Fortran
  • Intel® Cluster Checker
  • Intel® Cluster Ready
  • 消息传递接口
  • OpenMP*
  • 学术
  • 云计算
  • 集群计算
  • 数据中心
  • 开发工具
  • 大型企业
  • 并行计算
  • Configuring the Apache Web server to use RDRAND in SSL sessions

    Starting with the 1.0.2 release of OpenSSL*, RDRAND has been temporarily removed as a random number source. Future releases of OpenSSL will re-incorporate RDRAND, but will employ cryptographic mixing with OpenSSL's own software-based PRNG. While OpenSSL's random numbers will benefit form the quality of RDRAND, it will not have the same performance as RDRAND alone.

    Intel® Parallel Studio XE 2015 Update 2 Cluster Edition Readme

    The Intel® Parallel Studio XE 2015 Update 2 Cluster Edition for Linux* and Windows* combines all Intel® Parallel Studio XE and Intel® Cluster Tools into a single package. This multi-component software toolkit contains the core libraries and tools to efficiently develop, optimize, run, and distribute parallel applications for clusters with Intel processors.  This package is for cluster users who develop on and build for IA-32 and Intel® 64 architectures on Linux* and Windows*, as well as customers running over the Intel® Xeon Phi™ coprocessor on Linux*. It contains:

  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • 服务器
  • C/C++
  • Fortran
  • 英特尔® Parallel Studio XE Cluster Edition
  • 消息传递接口
  • OpenMP*
  • 云计算
  • Using Multiple Backends in Openstack Swift

    OpenStack Swift is a highly available, distributed, eventually consistent object/blob store. Object Storage is ideal for cost effective, scale-out storage. It provides a fully distributed, API-accessible storage platform that can be integrated directly into applications or used for backup, archiving, and data retention. For more information please refer http://docs.openstack.org/developer/swift/.

    Webcast - Accelerating Hadoop* Performance on Intel® Architecture Based Platforms

    This webcast (from IDF 2014) covers technical details and best known methods (BKMs) for optimizing big data clusters and Hadoop* workloads on Intel® Xeon® processor E5 v3 based platforms.

    Topics include:

    •  How to deploy, tune and configure the hardware and operating systems for your big data cluster

    •  How to run an Industry standard benchmark to measure the cluster performance and TCO calculation

    •  BKMs for optimizing the Hadoop framework configuration and workloads including NoSQL (HBase*, Cassandra) and in-memory analytics frameworks (Spark* / Shark)

  • Linux*
  • 服务器
  • 中级
  • Big Data
  • Hadoop*
  • clusters
  • Intel® Xeon® Processor
  • 大数据
  • 云计算
  • 集群计算
  • 大型企业
  • 订阅 云计算