It is a difficult task to parallelize the existing sequential algor ithm.
对已有算法进并化,一项很难工作。
To obtain high performance WFS, parallelize querying of large GML document is one of the feasible ways.
并查询大规模GML一种之有效获得高性能WFS方法。
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But also because we can parallelize work and not just work sequentially.
同时也因为我们可以并工作,而不仅仅是顺序工作。
But, even with this magic clothes dryer, you can speed things up even more if you parallelize your operation.
是,即使有了奇的干衣机,如果你并操作,还能更快地完成任务。
But each of these stages uses a different part of the CPU, meaning there is an opportunity to parallelize!
每个阶段都会使用CPU的不同部分,意味着有机会进并!
DeepSeek did some of these really cool innovations because they were limited on interconnect, but they still needed to parallelize, right?
DeepSeek之所以实现了一些非常酷的创新, 是因为他们在互连方面存在限制,仍需实现并化,对吧?
Let's say you want to do something like, let's say you want to do something like, parallelize, parallelize the different steps.
假设你想做一些事情,比如说,并化,并化不同的步骤。
However, not all language models can be easily parallelized.
然而,并非所有的语言模型都能轻易并化。
So it was a very parallelized, and it had to be very fast too, because the more games that you could simulate, the stronger the bot would be.
所以它是高度并化的, 而且必须非常快,因为你能模拟的游戏越多,机器人就会越强大。
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