我的站点 一个系统软件工程师的随手涂鸦

这篇笔记摘自Professional CUDA C Programming Global memory is large, on-board memory and is characterized by relatively high latencies. Shared memory is smaller, low

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我的站点 一个系统软件工程师的随手涂鸦

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这篇笔记摘自Professional CUDA C Programming Global memory is large, on-board memory and is characterized by relatively high latencies. Shared memory is smaller, low

CONTENT

This site nanxiao.me states the following, "Posted by nanxiao on 一月 3, 2017 in CUDA编程笔记." We noticed that the webpage stated " 这篇笔记摘自 Professional CUDA C Programming." It also stated " Global memory is large, on-board memory and is characterized by relatively high latencies. Shared memory is smaller, low-latency on-chip memory that offers much higher bandwidth than global memory. You can think of it as a program-managed cache. Shared memory is generally useful as. An intra-block thread communication channel. A program-managed cache for global memory data." The header had cuda as the highest ranking keyword. It was followed by gpu, 年终总结, and 简讯 which isn't as ranked as highly as cuda. The next words the site used was speedcrunch.

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