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FixedThreadPool vs CachedThreadPool: the lesser of two evils
...e of choice? How Java maps threads to OS threads, how that maps threads to CPU threads etc.? I'm asking because creating 150 threads within in ONE JRE only makes sense if you have massive CPU cores/threads underneath, which most likely is not the case. Depending on the OS and RAM in use, creating mo...
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...
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
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创业测试：50个迹象表明你真该创业了 - 资讯 - 清泛网 - 专注C/C++及内核技术
...个很吓人的过程，需要大量辛勤的劳作。但是是否创业这问题日夜都在困扰着你。至于原因，或许你仅仅是不满足于自己的现状;或许你是渴望开一家属于自己的店铺或是咨询公司;再或者只是你觉得你的生活需要一个显著的变化...
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 ...
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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...
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.
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