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Asynctask vs Thread in android

... For long-running or CPU-intensive tasks, there are basically two ways to do this: Java threads, and Android's native AsyncTask. Neither one is necessarily better than the other, but knowing when to use each call is essential to leveraging the s...
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How do the likely/unlikely macros in the Linux kernel work and what is their benefit?

... As regards the fragment "[...]that it is being run in a tight loop", many CPUs have a branch predictor, thus using these macros only helps the first time code is executed or when the history table is overwritten by a different branch with the same index into the branching table. In a tight loop, a...
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When to use AtomicReference in Java?

...system call, and your thread will block and be context switched out of the CPU to make way for other processes. The other option is to use an AtomicRefrence. public static AtomicReference<String> shared = new AtomicReference<>(); String init="Inital Value"; shared.set(init); //now we w...
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Python multiprocessing PicklingError: Can't pickle

... a database, writing to filesystems) then your code is likely not bound by CPU and won't take much of a hit. In fact I've found when writing HTTP/HTTPS benchmarks that the threaded model used here has less overhead and delays, as the overhead from creating new processes is much higher than the overh...
https://www.tsingfun.com/ilife/tech/1038.html 

乐视全员合伙人制的背后 - 资讯 - 清泛网 - 专注C/C++及内核技术

...论证与模型优化才最终成型。 上述人士称,在解决上述问题的过程中,乐视一直坚持了四个原则,就是希望给予员工“最具‘合伙人’精神的激励计划”、“最慷慨的激励额度”、“最彻底的价值分享”以及“最具生态...
https://www.tsingfun.com/ilife/tech/1176.html 

Apple Pay入华遇阻 只因BAT太受欢迎? - 资讯 - 清泛网 - 专注C/C++及内核技术

... 国内第三方支付平台抓住了商户的哪些痛? 要谈论这个问题,就必须关注线下商户所面临的痛点。早期移动支付的最大难点是支付媒介的缺失,这是拉卡拉们寸步难行而银联可以一家独大的关键所在。但随着O2O消费模式的普及...
https://www.tsingfun.com/ilife/tech/1165.html 

WhatsApp如何成为销售钻戒的店面? - 资讯 - 清泛网 - 专注C/C++及内核技术

...览器(主要针对安卓用户)推出了其应用的桌面版本后,该问题得以解决。 皮瑞安科夫另外有一部手机,专门用于在WhatsApp上与顾客交流,并将其跟三位销售人员的PC相连接。现在,无论他们何时与顾客交流,他们都能让办公室里...
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Node.js on multi-core machines

...ents and N processes doing heavy compute tasks and chewing up the other 15 CPUs. For scaling throughput on a webservice, you should run multiple Node.js servers on one box, one per core and split request traffic between them. This provides excellent CPU-affinity and will scale throughput nearly line...
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Mismatch Detected for 'RuntimeLibrary'

.... For example, many of the sources subtly depend upon the latest config.h, cpu.h and cpu.cpp. The "subtlety" is you won't realize you are getting an under-performing class. An example of under-performing class is BLAKE2. config.h adds compile time ARM-32 and ARM-64 detection. cpu.h and cpu.cpp adds...
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Efficient evaluation of a function at every cell of a NumPy array

...ime generated C-function as ufunc import numba as nb @nb.vectorize(target="cpu") def nb_vf(x): return x+2*x*x+4*x*x*x It easily beats np.vectorize but also when the same function would be performed as numpy-array multiplication/addition, i.e. # numpy-functionality def f(x): return x+2*x*x...