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Node.js and CPU intensive requests
... larger you just make the main server a node cluster and reverse proxy the CPU intensive tasks to other servers built for milti-threaded processing.
– Evan Plaice
Jan 24 '12 at 21:53
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Which would be better for concurrent tasks on node.js? Fibers? Web-workers? or Threads?
...it a lot. But soon I found out that it lacked badly the ability to perform CPU-intensive tasks. So, I started googling and got these answers to solve the problem: Fibers, Webworkers and Threads (thread-a-gogo). Now which one to use is a confusion and one of them definitely needs to be used - afteral...
关于我们 · App Inventor 2 中文网，少儿编程陪伴者
...一名学生，升级VIP会员后，可以随时随地在线编程，遇到问题提问都能及时得到详细解答，我的App开发技能得到了极大的提升！另外，我享受到VIP学生价格优惠，非常划算！ ...
Is “IF” expensive?
...truction reordering, at the compiler level, and also to some extent on the CPU level (for an out-of-order CPU, of course). Nice detailed answer though.
– jalf
Nov 24 '08 at 20:58
5...
Why is volatile not considered useful in multithreaded C or C++ programming?
...g is to use a memory barrier, which indicates both to the compiler and the CPU that no memory access may be reordered across this point. Placing such barriers around our volatile variable access ensures that even non-volatile accesses won't be reordered across the volatile one, allowing us to write ...
大数据时代的数据化运营 - 资讯 - 清泛网 - 专注C/C++及内核技术
...下，我们在运营中看到可以获得有效数据的原始数据不是问题，去除无效和虚假的数据才是关键。
相信做发行的同行都知道，在实践中，会遇到通过某些渠道或者是CPS，或者是广告渠道，他们一定会有大量的虚假的数据在里面...
How is the fork/join framework better than a thread pool?
...f thread pools and Fork/Join are alike: Both want to utilize the available CPU power the best they can for maximum throughput. Maximum throughput means that as many tasks as possible should be completed in a long period of time. What is needed to do that? (For the following we will assume that there...
TCP 的那些事儿（下） - 更多技术 - 清泛网 - 专注C/C++及内核技术
... 算法
但是上面的这个算法在重传的时候会出有一个终极问题——你是用第一次发数据的时间和ack回来的时间做RTT样本值，还是用重传的时间和ACK回来的时间做RTT样本值？
这个问题无论你选那头都是按下葫芦起了瓢。 如下图所...
SQL SELECT speed int vs varchar
...... obviously non-float are smaller than strings and floats, and thus more CPU friendly in assembly.
String to string comparison in all languages is slower than something that can be compared in 1 instruction by the CPU. Even comparing 8 byte (64bit) on a 32bit CPU is still faster than a VARCHAR(2)...
Scanner vs. StringTokenizer vs. String.Split
... faster than any of two viz. StringTokenizer or String.split.
But the CPU utilization for all the three is nearly the same. So we also need a method which is less CPU intensive, which I am still not able to find.
share...