现在的服务器网络数据收发与存储没有不做缓存的。如果公司的重要数据存储在磁盘中，且数据接近静态但每天局有部更新而且也有大量访问，不做缓存不能发挥机器的高性能。
Sviluppo multithread
Intel® MKL with Numpy, Scipy, Matlab, C#, Python, NAG and more
The following article explains on using Intel® MKL with Numpy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
How to spawn a statement in Cilk Plus
This blog discusses how to "spawn a statement" in Cilk Plus and some pragmatic considerations for doing so.
Cilk Plus has two ways to create parallelism:
Why is Cilk™ Plus not speeding up my program? (Part 1)
In this article, I discuss some common performance pitfalls in Cilk™ Plus programs that prevent users from seeing speedups in their code, and describe some techniques for avoiding these pitfalls.
Choosing the right threading framework
This is the second article in a series of articles about High Performance Computing with the Intel Xeon Phi. The Intel Xeon Phi is the first commercial product of Intel to incorporate the Many Integrated Core architecture. In this article I will present various frameworks for unleashing the power of multiple threads on the Xeon Phi. We will also have a look at interesting properties and advantages / disadvantages of each framework.
Measuring performance in HPC
This is the first article in a series of articles about High Performance Computing with the Intel Xeon Phi. The Intel Xeon Phi is the first commercial product of Intel to incorporate the Many Integrated Core architecture. In this article I will present the basics of the Xeon Phi architecture, the programming models and what we can do to measure the performance in cycles for micro benchmarks.
What's new? Update 3 - Intel® Advisor XE 2013
Intel® Advisor XE 2013
Intel® Advisor XE 2013 guides developers to add parallelism to their existing C/C++, Fortran, or C# programs.
New in Update 3!
· Improved assistance window
Useful Links for Intel® Inspector XE 2013 and Intel® Inspector for Systems 2013
Here are some helpful links:
Important Knowledge Base Articles for Intel® Inspector XE 2013
Intel® Threading Building Blocks, OpenMP ou threads nativas?
Artigo publicado originalmente por: Michael Voss (Intel)
Windows* 8 OS: Написание многопоточных приложений для магазина Windows* с помощью Intel® Threading Building Blocks - теперь c DLL.
Эта статья описывает, как построить простое приложение для магазина Windows используя Intel® Threading Building Blocks (Intel® TBB).
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