CUDA核心和CPU核心之间有什么区别？ [英] What is the difference between CUDA core and CPU core?

问题描述

我找不到这个问题的任何正确的答案。

I couldn't find any decent answer to this question.

我使用Cuda工作了一点，和CPU很多，我试图了解两者之间的区别，我的I5处理器有4个核心，成本为200美元，我的NVidia 660有960个核心，成本大致相同。

I worked a bit with Cuda, and a lot with the CPU, and i'm trying to understand what is the difference between the two, my I5 processor has 4 cores and cost 200$ and my NVidia 660 has 960 cores and cost about the same.

这意味着这两种类型的核心是完全不同的，如果有人能解释2个处理单元架构在能力优缺点方面的关键差异，我真的很高兴，例如Cuda核心有分支预测？

Which means that this two types of cores are completely different from one another, I would be really happy if someone could explain what are the key differences between the 2 processing units architecture in terms of abilities pros and cons, for example does Cuda cores has branch prediction ?

推荐答案

这是一个计算机架构问题，需要一个很长的答案。我会尽量保持它非常简单的风险是不准确。
你基本上是自我回答你的问题，通过要求做CUDA核心句柄分支预测的答案是否定的。
a CPU内核必须处理计算机执行的每个单独操作，计算，存储器获取，IO，中断，因此它具有巨大的复杂指令集，并且优化提取指令分支预测的速度。

也有一个大的缓存和快速时钟速率。
为了实现指令集，您需要更多的逻辑，因此与GPU相比，每个核心的成本更高。

it is a computer Architecture question which entails a long answer. I will try to keep it very simple on the risk of being inaccurate. you basically self-answered your question by asking do CUDA core handle branch prediction the answer is NO . a CPU core has to handle each single operation a computer does , calculation, memory fetching , IO , interrupts, therefore it has a huge complex instruction set, and to optimize the speed of fetching instruction branch prediction is used.
also it has a big cache and fast clock rate. To implement the instruction set you need more logic thus more transistors more cost per core compared to the GPU.

GPU核心具有更少的高速缓存存储器，更简单的指令和每个时钟更少的时钟速率，但是它们被优化以作为一组进行更多的计算。
简单指令集，缓存内存越少，每个核心的成本越低。

the GPU cores have less cache memory , simpler instruction and less clock rate per clock, however they are optimized to do more calculation as a group . the simple instructions set, the less cache memory makes them less expensive per core.

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