...struction (多指令) Single Data (单数据) SISD (单指令流单数据流) MISD (多指令流单数据流) Multiple Data (多数据) SIMD (单指令流多数据流) MIMD (多指令流多数据流) 11..SISD SISD体系结构 体系结构 SISD计算机是传统的顺序执行的计算机...
基于8个网页-相关网页
MMX的主要技术特点是:单指令、多数据(Single Instruction Mutli-Data,SIMD)技术是它的基础,MMX使得多条信息可由一条单一的指令来处理,它与IA(Instruction Arc...
基于2个网页-相关网页
单指令流多数据流 SIMD ; Single Instruction Multiple Data ; SIS-MDS SingleInstructionStream,MultipleDataStream ; Single Instruction stream and Multiple Data stream
多指令流多数据流 MIMD ; Multiple Instruction Stream Multiple Data Stream ; multiple instructions on multiple data
单指令多数据流 SIMD ; SIMDSingle Instruction Multiple Data ; single-instruction multiple-data streams
单指令多数据 SIMD ; Single Instruction Multiple Data ; AltiVec SIMD ; Single Program Multiple Data
多指令多数据 MIMD ; Multiple Instruction Multiple Data
多指令多数据流 MIMD ; multiple instruction multiple-data ; multiple-instruction multiple-data ream
多指令多数据玲构 mimd archictecture ; multiple instruction multiple data architecture
多指令多数据龙 mimd machine ; multiple instruction multiple data stream machine
多数据库系统 MDBS
随着更多数据的出现,这是一段你们可能已经看过的片段。
More data to come, so this is a clip that some of you might have seen in section already.
1995年,中央情报局举办了一场比赛,看谁能收集到关于布隆迪的最多数据。
In 1995 the CIA held a contest to see who could compile the most data about Burundi.
亚里士多德的观点持续了很长一段时间,但最终随着更多数据的出现,它开始瓦解。
The Aristotelian view held for a long time, but eventually, it started to crumble in the light of more data.
And the Aristotelian view held for a long time, but eventually it started to crumble in the light of more data.
而亚里士多德的观点在很长时间里得到了认同,但最终还是崩溃了,在越来越多的数据面前。
That means--his calculations are very different than the ones I have because he has a much longer sample period.
那表明。。。他的计算结果与我的大相径庭,因为它数据的取样跨度比我的长多了。
You can take a problem that might be relatively intuitive to solve but when you scale this thing up as is increasingly the case in the web, in large data systems, and so forth, you actually have to now think smart, you actually have to think efficiently and you have to solve this problem effectively.
你可以把一个问题用比较直观的方法解决,但如果你把此类问题的数量增大,正如越来越多的互联网,和大规模数据系统中出现的问题等等,你应该考虑怎样才能更简便,怎样才能更高效,你应该用行之有效的方法处理问题。
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