英特尔并行工作室 2011 - 并行求和
我有一个看起来像这样的串行代码：
sum = a;
sum += b;
sum += c;
sum += d;
我想将其并行化为类似的东西：
temp1 = a + b and in the same time temp2 = c + d
sum = temp1 + temp2
如何使用英特尔并行工作室工具来做到这一点？
谢谢！！！
I have a serial code that looks something like that:
sum = a;
sum += b;
sum += c;
sum += d;
I would like to parallelize it to something like that:
temp1 = a + b and in the same time temp2 = c + d
sum = temp1 + temp2
How do I do it using Intel parallel studio tools?
Thanks!!!
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假设所有变量都是整型或浮点类型，则并行化此代码绝对没有意义（从由不同线程/核心执行的意义上来说），因为开销将远远高于从中获得的任何好处。此示例中适用的并行性是在单个 CPU 上的多个计算单元和/或矢量化级别。如今，优化编译器已经足够复杂，可以自动利用这一点，而无需更改代码；但是，如果您愿意，可以显式使用临时变量，如问题的第二部分所示。
如果您只是出于好奇而询问：英特尔 Parallel Studio 提供了多种并行化代码的方法。例如，让我们将 Cilk 关键字与 C++11 lambda 函数一起使用：
不要指望从中获得性能（见上文），除非您使用具有计算量大的重载
operator+的类。Assuming that all variables are of integral or floating point types, there is absolutely no sense to parallelize this code (in the sense of executing by different threads/cores), as the overhead will be much much higher than any benefit out of it. The applicable parallelism in this example is at the level of multiple computation units and/or vectorization on a single CPU. Optimizing compilers are sophisticated enough nowadays to exploit this automatically, without code changes; however if you wish you may explicitly use temporary variables, as in the second part of the question.
And if you ask just out of curiosity: Intel Parallel Studio provides several ways to parallelize code. For example, let's use Cilk keywords together with C++11 lambda functions:
Don't expect to get performance out of that (see above), unless you use classes with a computational-heavy overloaded
operator+.