Vertaling van "intel math kernel library" in Japans
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インテル MKL
インテル マス・カーネル・ライブラリー
Intel Math Kernel Library
Additionally, if you are using the Intel MKL cluster software, your link line is function-domain specific (see Working with the Intel Math Kernel Library Cluster Software).
Intel Math Kernel Library: Specify the desired library version from the drop-down box.
[Intel Math Kernel Library (インテル マス・カーネル・ライブラリー)]: ドロップダウン・ボックスから使用するライブラリー・バージョンを指定します。
Related Information To reference how to use the library in your application, use this guide in conjunction with the following documents: The Intel Math Kernel Library Reference Manual, which provides reference information on routine functionalities, parameter descriptions, interfaces, calling syntaxes, and return values.
Organizations can now combine the power of the Intel Math Kernel Library (MKL) and Anaconda's Python-based data science to build the high performance analytic modeling and visualization applications required to compete in today's data-driven economies.
Intel Math Kernel Library (Intel MKL) is a library of optimized math routines for science, engineering, and financial applications.
Intel Math Kernel Library (Intel MKL) とは、インテルが開発している、科学・工学・金融アプリケーション向けに提供される最適化(高速化)された数学ルーチンを含むライブラリである。
Getting Help and Support Getting Help and Support Intel Math Kernel Library 11.2 Update 1 User's Guide Getting Help and Support Intel provides a support web site that contains a rich repository of self help information, including getting started tips, known product issues, product errata, license information, user forums, and more.
ヘルプとサポートについて インテルでは、使い方のヒント、既知の問題点、製品のエラッタ、ライセンス情報、ユーザーフォーラムなどの多くのセルフヘルプ情報を含むサポート Web サイトを提供しています。
Some common libraries, such as the Intel Math Kernel Library (Intel MKL) and Intel Performance Primitives (Intel IPP) will be available in CPU versions as well as target versions.
Building a Custom Dynamically Linked Library/Shared Object Building a Custom Dynamically Linked Library/Shared Object Intel Math Kernel Library 11.2 Update 1 User's Guide Building Custom Shared Objects Custom shared objects reduce the collection of functions available in Intel MKL libraries to those required to solve your particular problems, which helps to save disk space and build your own dynamic libraries for distribution.
Improving Performance for Small Size Problems Improving Performance for Small Size Problems Intel Math Kernel Library 11.2 Update 1 User's Guide Improving Performance for Small Size Problems The overhead of calling an Intel MKL function for small problem sizes can be significant when the function has a large number of parameters or internally checks parameter errors.
Static Libraries in the lib\intel64 Directory Static Libraries in the lib\intel64 Directory Intel Math Kernel Library 11.2 Update 1 User's Guide Static Libraries in the lib/intel64 Directory Some of the libraries in this directory are optional.
Using the ILP64 Interface vs. LP64 Interface Using the ILP64 Interface vs. LP64 Interface Intel Math Kernel Library 11.2 Update 1 User's Guide Using the ILP64 Interface vs. LP64 Interface The Intel MKL ILP64 libraries use the 64-bit integer type (necessary for indexing large arrays, with more than 231-1 elements), whereas the LP64 libraries index arrays with the 32-bit integer type.
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