blocks|key|5862365|text|因为正交计算已经失败了。我们应该去quantum。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|5862366|entityMap|0|LINK|mutability|MUTABLE|url|http://en.wikipedia.org/wiki/Quantum_computing^0|H|7|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Because orthogonal computing has failed. We should go <a href="http://en.wikipedia.org/wiki/Quantum_computing" rel="nofollow noreferrer">quantum</a>.

blocks|key|3750392|text|提高处理器的速度会使操作温度过高，以至于会在您的办公桌上烧出一个洞。芯片制造商遇到了他们无法绕过的某些限制……比如光速。并行计算将允许他们在不引起火灾的情况下提高计算机的速度。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3750393|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|$]]

Increasing the speed of processors would make the operating temperature so extremely high it would burn a hole in your desk. The makers of the chips are running up against certain limitations they can't get around... like the speed of light, for instance. Parallel computing will allow them to speed up the computers without starting a fire.

blocks|key|2497059|text|老实说，我真的不知道，但我的猜测是，晶体管在某一时刻不会变得更小，需要并行分布的处理能力。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2497060|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|$]]

I honestly don't really know, but my guess would be that transistors at some point could get no smaller requiring processing power to be spread out in parallel.

blocks|key|2489871|text|晶体管和cpus之类的东西变得越来越小，速度越来越快。遗憾的是，用于计算的热量和电压成本正在上升。热量和电压问题与实际的物理尺寸最小值一样令人担忧。一个100+1ghz的芯片会吸收太多的电压和太热，但100个1+1ghz的芯片不会有太大的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2489872|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|$]]

Transistors and cpus and whatnot are getting smaller and smaller and faster and faster. Alas, the heat and voltage costs for computing are going up. The heat and voltage issues are as much of a concern as the actual physical size minimums. A 100ghz chip would suck up too much voltage and get too hot but 100 1ghz chips would have less of an issue with this.

blocks|key|3750501|text|这是一个奇怪的问题。摩尔定律不需要任何东西，它只是对计算能力发展的观察，它并没有规定计算能力必须以一定的速度增长。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3750502|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|$]]

That is an odd question. Moore's law doesn't necessitate anything it is just an observation of the progression of computing power, it doesn't dictate that it must increase at a certain rate.

blocks|key|2489925|text|摩尔定律描述了由于在电路板上增加更多的晶体管，芯片的性能实际上翻了一番的趋势。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2489926|由于器件的尺寸没有增加(如果有什么不同的话，那就是相反)，那么很明显，由于芯片技术变得越来越小，制造工艺变得越来越好，这些额外的晶体管的空间才会变得可用。|2489927|然而，到了某个时候，晶体管就不能再最小化了。由于所产生的热量和所涉及的制造成本，将芯片尺寸增加到超过某一点也变得不可能。|2489928|这些限制需要一种提高性能的手段，而不仅仅是生产更复杂的芯片。|2489929|其中一种方法是在并行架构中使用更便宜、更简单的芯片，另一种方法是从传统的集成芯片转移到像量子计算这样的东西-根据量子计算的定义，量子计算就是并行处理。|2489930|值得注意的是，这个问题的标题更多地涉及定律的观察结果(性能提高)，而不是实际的定律本身，这在很大程度上是关于晶体管计数的观察。|2489931|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|P|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|Q|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|R|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|S|8|@]|9|@]|A|$]]|$1|L|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|M|$]]

Moore's law describes the trend that performance of chips effectively doubles due to the addition of more transistors to a circuit board.

Since devices are not increasing in size (if anything the reverse is true) then clearly the space for these additional transistors only becomes available due to chip technology becoming smaller and manufacturing becoming ever better.

At somepoint however you reach the stage where transistors cannot be minimized any further. It also becomes impossible to increase the size of chips beyond a certain point due to the amount of heat generated and the manufacturing costs involved.

These limits necessitate a means of increasing performance beyond simply producing more complex chips. 

One such method is to employ cheaper and less complex chips in parallel architectures, another is to move away from the traditional integrated chip to something like quantum computing - which by it's very definition is parallel processing.

It's worth noting that the title of this question relates more to the observed results of the law (performance increase) rather than the actual law itself which was largely an observation about transistor count.

blocks|key|586129|text|一个词--+Heat。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|586130|由于无法在当前的晶体管水平上散热，工程师们正在利用他们不断增长的晶体管预算来创建更多的内核，而不是创建更复杂(和更热)的流水线和更快的处理器。|586131|摩尔定律并没有完全失效--+moore's+law+is+about+transistor+density+at+a+given+cost。碰巧的是，由于各种原因(如营销)，工程师决定使用他们的晶体管预算来增加时钟周期。现在他们决定(因为热问题)开始使用晶体管进行并行，加上64位计算和降低功耗。|586132|entityMap|0|LINK|mutability|MUTABLE|url|http://blog.wired.com/gadgets/2008/09/battling-the-co.html|1|http://en.wikipedia.org/wiki/Moore's_law^0|6|4|0|0|0|E|1J|1|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|W|8|@]|9|@$A|X|B|Y|1|Z]]|C|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]]]

One word - <a href="http://blog.wired.com/gadgets/2008/09/battling-the-co.html" rel="noreferrer">Heat</a>. 

Due to an inability to dissipate heat at current transistor levels, engineers are using their every growing transistor budgets to create more cores instead of creating more complex (and hot) pipelines and faster processors.

Moore's law is not at all dead - <a href="http://en.wikipedia.org/wiki/Moore&#39;s_law" rel="noreferrer">moore's law is about transistor density at a given cost</a>. It just so happens that for various reasons (like marketing) engineers decided to use their transistor budget to increase clock cycle. Now they decided (because of the heat issue) to start using the transistors for parallelism, plus 64bit computing and reducing power consumption.

blocks|key|2489958|text|我想这是对free+lunch+is+over文章的引用|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2489959|基本上，关于晶体管密度的摩尔定律的原始版本仍然有效。但是，一个重要的推导法则，即处理速度每xx个月翻一番，已经碰壁了。|2489960|因此，我们面临的未来是，处理器速度只会略有提高，但我们将拥有更多的内核和缓存。|2489961|entityMap|0|LINK|mutability|MUTABLE|url|http://www.gotw.ca/publications/concurrency-ddj.htm^0|5|I|0|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@]|C|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]]]

I think it is a reference to the <a href="http://www.gotw.ca/publications/concurrency-ddj.htm" rel="noreferrer">free lunch is over</a> article 

basically, the original version of Moore's law, about transistor density, still holds. But one important derived law, about processing speed doubling every xx months, has hit a wall. 

So we are facing a future where processor speeds will go up only slightly but we will have more core's and cache to play with.

blocks|key|586145|text|摩尔定律使得并行计算成为必要，因为Moore's+law+is+on+the+verge+of/is+dead。因此，考虑到这一点，如果在IC上塞入晶体管变得越来越难(由于其他地方提到的一些原因)，那么剩下的选择就是添加更多的处理器作为并行处理或go+Quantum。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|586146|entityMap|0|LINK|mutability|MUTABLE|url|http://www.techworld.com/opsys/news/index.cfm?newsid=3477^0|H|12|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Moore's law necessitates parallel computing because <a href="http://www.techworld.com/opsys/news/index.cfm?newsid=3477" rel="nofollow noreferrer">Moore's law is on the verge of/is dead</a>. So taking that into consideration, if it is becoming harder and harder to cram transistors onto an IC (due to some of the reasons noted elsewhere) then the remaining options are to add more processors ala Parallel processing or go Quantum.

blocks|key|586159|text|真正的答案是完全非技术性的，并不是说硬件解释不是很奇妙。摩尔定律越来越不是一种观察，而更多的是一种期望。这种对计算机呈指数级增长的期望已经成为该行业的驱动力，这就需要所有的并行。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|586160|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|$]]

The real answer is completely un-technical, not that the hardware explanations aren't fantastic. It's that Moore's Law has become less and less of an observation, and more of an expectation. This expectation of computers growing exponentially has become the driving force of the industry, which necessitates all the parallelism.

blocks|key|3750724|text|摩尔定律表明，与成本相比，集成电路中晶体管的数量每年呈指数级增长。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3750725|从历史上看，这在一定程度上是由于晶体管尺寸的减小，较小的晶体管切换速度也更快。因为更快的晶体管符合摩尔定律，所以时钟速度提高了。所以有一种混淆，摩尔定律意味着更快的处理器，而不仅仅是更宽的处理器。|3750726|对于经济生产的硅，散热导致速度提高最高可达3+GHz左右。|3750727|因此，如果你想要更便宜的计算，添加更多更慢的电路会更容易。因此，当前最先进的商用处理器是多核的-它们正在变得更广泛，但速度并不快。|3750728|Graphene+film+transistors需要更少的功率，并且在30+GHz左右执行，理论上限制在0.6+THz左右。|offset|length|3750729|当石墨烯技术在几年内成熟到商品化水平时，预计会有另一场翻天覆地的变化，没有人会关心使用并行内核来提高性能，而是回到狭窄、快速的内核。另一方面，并发计算对于它自然适合的问题仍然很重要，所以您仍然需要知道如何处理多个执行单元。|3750730|entityMap|0|LINK|mutability|MUTABLE|url|https://www.technologyreview.com/computing/21889/?a=f^0|0|0|0|0|0|P|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|W|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|X|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@$J|10|K|11|1|12]]|A|$]]|$1|L|3|M|5|6|7|13|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|O|$P|$5|Q|R|S|A|$T|U]]]]

Moore's law says that the number of transistors in an IC relative to cost increases exponentially year on year.

Historically, this was partly due to a decrease in transistor size, and smaller transistors also switched faster. Because you got faster transistors in step with Moore's law, clock speed increased. So there's a confusion that say Moore's law means faster processors rather than just wider.

Heat dissipation caused the speed increase to top out at around 3 GHz for economically produced silicon. 

So if you want more cheap computation, it's easier to add more, slower circuits. So the current state-of-the-art commodity processors are multi-core - they are getting wider, but no faster.

<a href="https://www.technologyreview.com/computing/21889/?a=f" rel="nofollow noreferrer">Graphene film transistors</a> require less power, and are performing at around 30 GHz, with theoretical limits at around 0.6 THz.

When graphene technology matures to commodity level in a few years, expect there to be another sea change and no-one will care about using parallel cores for performance, and go back to narrow, fast cores. On the other hand, concurrent computing will still matter for the problems it is a natural fit for, so you'll still have to know how to handle more than one execution unit though.

blocks|key|2490051|text|摩尔定律只是说，价格合理的集成电路上的晶体管数量每两年就会翻一番。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2490052|关于速度、晶体管密度或管芯大小的观察结果都与原始观察结果有些正交。|2490053|这就是为什么我认为摩尔定律不可避免地导致了并行计算：|2490054|如果你一直把晶体管的数量翻一番，你打算怎么处理它们呢？|2490055|2490056|More+instructions!|unordered-list-item|2490057|Wider+data+types!|2490058|Floating点数学！|2490059|More+caches+(L1，L2，L3)！|2490060|微操作！|2490061|More流水线指令多数据！|2490062|2490063|最终，当你实现了所有你能想到的使用这些额外晶体管的技巧时，你最终会想:为什么我们不在新推出的芯片上做两次这些很酷的技巧呢？|2490064|巴达宾。轰隆一声。多核是不可避免的。|2490065|2490066|顺便说一句，我认为目前具有多个相同CPU核心的CPU的趋势最终也会平息下来，未来的真正处理器将拥有单个主核、一组通用核心和一组特殊用途的协处理器(如图形卡，但与CPU和缓存在一起)。|2490067|IBM+Cell处理器(在PS3中)已经有点像这样了。它有一个主核和七个“协同处理单元”。|2490068|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|17|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|18|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|19|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|1A|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|1B|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|1C|8|@]|9|@]|A|$]]|$1|L|3|M|5|K|7|1D|8|@]|9|@]|A|$]]|$1|N|3|O|5|K|7|1E|8|@]|9|@]|A|$]]|$1|P|3|Q|5|K|7|1F|8|@]|9|@]|A|$]]|$1|R|3|S|5|K|7|1G|8|@]|9|@]|A|$]]|$1|T|3|U|5|K|7|1H|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1J|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|1K|8|@]|9|@]|A|$]]|$1|10|3|-4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|1M|8|@]|9|@]|A|$]]|$1|13|3|14|5|6|7|1N|8|@]|9|@]|A|$]]|$1|15|3|-4|5|6|7|1O|8|@]|9|@]|A|$]]]|16|$]]

Moore's law just says that the number of transistors on a reasonably priced integrated circuit tends to double every 2 years.

Observations about speed or transistor density or die size are all somewhat orthogonal to the original observation.

Here's why I think Moore's law leads inevitably to parallel computing:

If you keep doubling the number of transistors, what are you going to do with them all?

<ul>
<li>More instructions!</li>
<li>Wider data types!</li>
<li>Floating Point Math!</li>
<li>More caches (L1, L2, L3)!</li>
<li>Micro Ops!</li>
<li>More pipeline stages!</li>
<li>Branch prediction!</li>
<li>Speculative execution!</li>
<li>Data Pre-Fetch!</li>
<li>Single Instruction Multiple Data!</li>
</ul>

Eventually, when you've implemented all the tricks you can think of to use all those extra transistors, you eventually think to yourself: why don't we just do all those cool tricks TWICE on the came chip?

Bada bing. Bada boom. Multicore is inevitable.

<hr>

Incidentally, I think the current trend of CPUs with multiple identical CPU cores will eventually subside as well, and the real processors of the future will have a single master core, a collection of general purpose cores, and a collection of special purpose coprocessors (like a graphics card, but on-die with the CPU and caches).

The IBM Cell processor (in the PS3) is already somewhat like this. It has one master core and seven "synergistic processing units".

blocks|key|3750784|text|这是因为我们都沉迷于提高处理器的速度。多年的训练让我们年复一年地期待更多的处理能力。但是，密集封装的晶体管造成的物理限制最终限制了时钟速度，因此必须从不同的角度来提高时钟速度。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3750785|它不一定是这样的。英特尔凌动处理器的成功表明，处理器可能只会变得更小、更便宜。处理器公司将试图让我们保持“更大、更快”的速度，以保持他们的利润。我们将是自愿的参与者，因为我们总会找到一种方法来使用更多的能量。|3750786|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

It's because we're all addicted to increasing speed in our processors. Years of conditioning have led us to expect more processing power, year after year. But the physical constraints caused by densely packed transistors have finally put a limit on clock speeds, so increases have to come from a different perspective.

It doesn't have to be this way. The success of the Intel Atom processor shows that processors could just get smaller and cheaper instead. The processor companies will try to keep us on the "bigger, faster" treadmill though, to keep their profits up. And we'll be willing participants, because we'll always find a way to use more power.

blocks|key|578151|text|摩尔定律仍然有效。晶体管数量仍在增加。问题是找出一些有用的东西来处理所有这些晶体管。我们不能仅仅通过使流水线更深更宽来不断增加指令级并行性，因为证明指令之间独立性所需的电路在需要证明其独立性的指令数量上进行了极大的扩展。我们不能因为太热就一直调高时钟频率。我们可以继续增加缓存大小，但我们已经达到了回报递减的地步。晶体管剩下的唯一用途似乎是在芯片上放置更多的核心，这意味着工程师的工作就是弄清楚如何处理晶体管，而现在程序员必须弄清楚如何处理所有这些核心。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|578152|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|$]]

Moore's law still holds. Transistor counts are still increasing. The problem is figuring out something useful to do with all those transistors. We can't just keep increasing the instruction level parallelism by making pipelines deeper and wider because the circuitry necessary to prove independence between instructions scales terribly in the number of instructions you need to prove independence of. We can't just keep cranking up clock speeds because of heat. We could just keep increasing cache size, but we've hit a point of diminishing returns here. The only use left for the transistors seems to be putting more cores on a chip, which means that the engineer's job of figuring out what to do with the transistors is just pushed up the abstraction ladder, and now programmers have to figure out what to do with all those cores.

blocks|key|3750827|text|有趣的是，问题中提出的并行计算是“必要的”的想法受到了Amdahl定律的质疑，该定律基本上是说，除非你的程序是100%25可并行化的，否则拥有并行处理器只能做到这一点(在现实世界中从来不是这样的)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3750828|例如，如果你有一个程序，它在一个处理器上需要20分钟，并且是50%25可并行化的，而你购买了大量的处理器来加快速度，那么你运行的最短时间仍然超过10分钟。这忽略了成本和其他涉及的问题。|3750829|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|H|8|@]|9|@]|A|$]]]|E|$]]

Interestingly, the idea proposed in the question that parallel computing is "necessitated" is thrown into question by Amdahl's Law, which basically says that having parallel processors will only get you so far unless 100% of your program is parallelizable (which is never the case in the real world).

For example, if you have a program which takes 20 minutes on one processor and is 50% parallelizable, and you buy a large number of processors to speed things up, your minimum time to run would still be over 10 minutes. This is ignoring the cost and other issues involved.

blocks|key|578158|text|我不认为摩尔定律需要并行计算，但它确实需要最终远离纯粹的小型化。存在多种解决方案。其中一个是并行计算，另一个是协同处理(这是实现的，但与并行计算不是一回事。协同处理是指将工作卸载到特殊用途的CPU，如GPU、DSP等。)|type|unstyled|depth|inlineStyleRanges|entityRanges|data|578159|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|$]]

I don't think Moores law necessitates parallel computing, but it does necessiate an eventual shift away from pure miniturization. Multiple solutions exist. One of them is Parallel computing, another is co-processing (which is realted, but not the same thing as parallel computing. co-processing is when you offload work to a special purpose CPU such as a GPU, DSP, etc..)

This was a question in one of my CS textbooks. I am at a loss. I don't see why it necessarily would lead to parallel computing. Anyone wanna point me in the right direction?

Why does Moore's Law necessitate parallel 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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这是我的一本CS课本上的一个问题。我不知所措。我不明白为什么它必然会导致并行计算。有谁能给我指个方向吗？

问为什么摩尔定律需要并行计算？
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