GPU作为CPU的可行性？ [英] Feasibility of GPU as a CPU?

问题描述

您认为GPU作为像CUDA这样的CPU计划的未来是什么？你认为他们将成为主流，并成为行业中下一个被采用的流行？苹果正在构建一个使用GPU来完成CPU任务的新框架，并且在Nvidias CUDA的科学项目中取得了很多成功。

What do you think the future of GPU as a CPU initiatives like CUDA are? Do you think they are going to become mainstream and be the next adopted fad in the industry? Apple is building a new framework for using the GPU to do CPU tasks and there has been alot of success in the Nvidias CUDA project in the sciences. Would you suggest that a student commit time into this field?

推荐答案

首先我不认为这个问题真的属于SO。

First of all I don't think this questions really belongs on SO.

在我看来，GPU是一个非常有趣的选择，当你做基于矢量的浮点数学。然而这转化为：它不会成为主流。大多数主流（桌面）应用程序执行的浮点计算非常少。

In my opinion the GPU is a very interesting alternative whenever you do vector-based float mathematics. However this translates to: It will not become mainstream. Most mainstream (Desktop) applications do very few floating-point calculations.

它已经在游戏（物理引擎）和科学计算中获得了牵引力。如果你认为这两个是主流，那么GPU就会成为主流。

It has already gained traction in games (physics-engines) and in scientific calculations. If you consider any of those two as "mainstream", than yes, the GPU will become mainstream.

我不认为这两个是主流，因此我认为，

I would not consider these two as mainstream and I therefore think, the GPU will raise to be the next adopted fad in the mainstream industry.

如果你作为一个学生对大量基于物理的科学计算感兴趣，你应该绝对承诺时间到它（GPU是非常有趣的硬件部分）。

If you, as a student have any interest in heavily physics based scientific calculations, you should absolutely commit some time to it (GPUs are very interesting pieces of hardware anyway).

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