blocks|key|289723|text|您将希望尽快掌握并行编程。关于消息传递，我喜欢Karniadakis+and+Kirby写的这本书。在有关分布式内存编程的OpenMP书籍中，this+one是最好的。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|289724|如果您可以访问它们，那么英特尔的线程构建模块、数学内核库和集成性能原语都是很好的选择。如果没有，有很多开源的替代方案，开始看看Netlib。|289725|哦，我几乎忘记了BOOST，这是必须的。|289726|entityMap|0|LINK|mutability|MUTABLE|url|http://www.amazon.co.uk/Parallel-Scientific-Computing-MPI-Implementation/dp/0521520800/ref=sr_1_1?s=books&ie=UTF8&qid=1290726647&sr=1-1|1|http://www.amazon.co.uk/Using-OpenMP-Programming-Engineering-Computation/dp/0262533022/ref=sr_1_2?s=books&ie=UTF8&qid=1290726727&sr=1-2|2|http://www.netlib.org/|3^0|N|L|0|1Z|8|1|0|1R|6|2|0|8|5|3|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@$A|V|B|W|1|X]|$A|Y|B|Z|1|10]]|C|$]]|$1|D|3|E|5|6|7|11|8|@]|9|@$A|12|B|13|1|14]]|C|$]]|$1|F|3|G|5|6|7|15|8|@]|9|@$A|16|B|17|1|18]]|C|$]]|$1|H|3|-4|5|6|7|19|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]|R|$5|K|L|M|C|$N|S]]|T|$5|K|L|M|C|$N|S]]]]

You'll want to get to grips with parallel programming as quickly as possible. For message-passing I like this book by <a href="http://www.amazon.co.uk/Parallel-Scientific-Computing-MPI-Implementation/dp/0521520800/ref=sr_1_1?s=books&amp;ie=UTF8&amp;qid=1290726647&amp;sr=1-1" rel="noreferrer">Karniadakis and Kirby</a>. Of the books on OpenMP, for distributed-memory programming, <a href="http://www.amazon.co.uk/Using-OpenMP-Programming-Engineering-Computation/dp/0262533022/ref=sr_1_2?s=books&amp;ie=UTF8&amp;qid=1290726727&amp;sr=1-2" rel="noreferrer">this one</a> is the best.

If you can get access to them, then Intel's Threading Building Blocks, Maths Kernel Library, and Integrated Performance Primitives are good to have. If not, there are plenty of open source alternatives, start looking at <a href="http://www.netlib.org/" rel="noreferrer">Netlib</a>.

Oh, I almost forgot <a href="http://www.netlib.org/" rel="noreferrer">BOOST</a>, which is a must.

blocks|key|3008214|text|关于像Numpy这样的数字东西，你应该同时看看这两个：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3008215|Blitz%2B%2B+http://www.oonumerics.org/blitz/|offset|length|3008216|和|3008217|Jama/TNT+http://math.nist.gov/tnt/download.html|3008218|entityMap|0|LINK|mutability|MUTABLE|url|http://www.oonumerics.org/blitz/|1|http://math.nist.gov/tnt/download.html^0|0|8|W|0|0|0|9|12|1|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@$D|V|E|W|1|X]]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@$D|10|E|11|1|12]]|A|$]]|$1|J|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]|R|$5|M|N|O|A|$P|S]]]]

In regards to numerical stuff like Numpy, you should have a look at both:

Blitz++ <a href="http://www.oonumerics.org/blitz/" rel="noreferrer">http://www.oonumerics.org/blitz/</a>

and

Jama/TNT <a href="http://math.nist.gov/tnt/download.html" rel="noreferrer">http://math.nist.gov/tnt/download.html</a>

blocks|key|292949|text|在库方面，请查看Armadillo。它暗中使用LAPACK和BLAS+(+almost+gives+you+the+full+extent+of+MATLAB's+array+manipulation+syntax+)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|292950|entityMap|0|LINK|mutability|MUTABLE|url|http://arma.sourceforge.net/|1|http://arma.sourceforge.net/docs.html#syntax^0|8|9|0|11|1Y|1|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]|$A|R|B|S|1|T]]|C|$]]|$1|D|3|-4|5|6|7|U|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]]]

On the library side, check out <a href="http://arma.sourceforge.net/" rel="nofollow noreferrer">Armadillo</a>. It <a href="http://arma.sourceforge.net/docs.html#syntax" rel="nofollow noreferrer">almost gives you the full extent of MATLAB's array manipulation syntax</a> and uses LAPACK and BLAS (ATLAS) under the hood.

blocks|key|3222383|text|这篇教程绝对很震撼，但你可能不想一开始就去解决它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3222384|http://www.parashift.com/c%2B%2B-faq/|offset|length|3222385|确保阅读STL+(标准模板库)和其他内容，使用以下站点：|3222386|http://cplusplus.com/|3222387|并且，请查看Boost库：|3222388|http://www.boost.org/|3222389|为了更好地利用C%2B%2B，你至少需要学习STL，这将为你节省大量时间，但正如parashift所提到的，如果你不使用动态绑定，C%2B%2B+OOP只使用对象编程。|3222390|entityMap|0|LINK|mutability|MUTABLE|url|http://www.parashift.com/c%2B%2B-faq/|1|2^0|0|0|X|0|0|0|0|L|1|0|0|0|L|2|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|10|8|@]|9|@$D|11|E|12|1|13]]|A|$]]|$1|F|3|G|5|6|7|14|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|15|8|@]|9|@$D|16|E|17|1|18]]|A|$]]|$1|J|3|K|5|6|7|19|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1A|8|@]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|N|3|O|5|6|7|1E|8|@]|9|@]|A|$]]|$1|P|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|Q|$R|$5|S|T|U|A|$V|W]]|X|$5|S|T|U|A|$V|I]]|Y|$5|S|T|U|A|$V|M]]]]

This tutorial absolutely rocks, but you may not want to tackle it initially.

<a href="http://www.parashift.com/c++-faq/" rel="nofollow">http://www.parashift.com/c++-faq/</a>

Make sure to read up on the STL (standard template library) and other stuff, using sites like:

<a href="http://cplusplus.com/" rel="nofollow">http://cplusplus.com/</a>

And, check out the Boost library:

<a href="http://www.boost.org/" rel="nofollow">http://www.boost.org/</a>

To make really good use of C++, you need to learn at least the STL, that alone will save you lots of time, but as parashift mentions, C++ OOP is only programming with objects, if you don't use dynamic bindings.

blocks|key|3222397|text|TRNG是一个并行随机数生成库。它允许您创建多个独立的流，并设计用于集群。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3222398|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

TRNG is a parallel random number generation library. It allows you to create multiple independent streams and was designed for use on clusters.

I have a fair hang of programming in various languages. I have been implementing my codes for research using MATLAB (during the past few months) and for the first time really noticed the difference in execution speed of MATLAB v$ C. (As much as I love the blazingly fast prototyping capabilities).

I am looking to pickup C++ and start using it in my research. I am aware of OOP and have programmed fair bit of Java (relatively long back) and C++ (even longer back). I would like to really get deep into C++ now and hence need suggestions for resources on the same:

<ul>
<li>What C++ things I need to pick up (STLs and. ) to really make good use of C++?</li>
<li>What is a good tutorial/manual to get started with?</li>
<li>What are the numerical/scientific libraries for C++? GSL? Is there a equivalent (features) of Scipy/Numpy for C++?</li>
</ul>

I shall be programming on Linux, so I shall be using g++ .

Any pointers to previous SO questions also appreciated.

(Re)Starting with C++ (for scientific computing)

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我精通各种语言的编程。我一直在使用MATLAB实现我的研究代码(在过去的几个月里)，这是我第一次真正注意到MATLAB v$ C执行速度的差异(就像我喜欢它惊人的快速原型功能一样)。我希望选择C++并开始在我的研究中使用它。我意识到了OOP，并编写了相当多的Java (相对较长的back)和C++ (甚至更长的back)。我现在真的想深入了解C++，因此需要在相同的资源上提供建议：What C++

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