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This dissertation focuses on the analysis, design and implementation of data-parallel memory system for Tiled Stream Processor.
论文的研究工作着眼于分片式流处理器的数据并行存储系统的分析、设计和实现。
While that little port isn't a big problem for most visual jobs, it's a hassle for parallel computing that works the CPU, GPU, and memory all in close association.
虽然这个小小的接口对大部分显示工作来说并不是什么大问题,但它却无法应付CPU、GPU和内存紧密结合的并行运算。
Kanerva's memory algorithm could do several marvelous things that parallel what our own minds can do.
卡内尔瓦的记忆算法能做一些可媲美于人类思维的不可思议的事情。
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