cpu-usage

问题 I am programming a app that has to do a operation with high cpu usage on a longer time the operation is startet like a service but the android system kills the app because of the high cpu usage so what can I do to reduce the cpu usage ? and make the system not to stop my service ? service : import java.io.BufferedWriter; import java.io.File; import java.io.FileWriter; import android.app.Service; import android.content.ContentResolver; import android.content.Intent; import android.database

问题 AFAIK, it is possible to assign a thread to a CPU core in Linux. (see this). But, my question is can I achieve this functionality using boost and if it is possible, then how? Please, also not that OS can decide which is better for me, but assume that I want to control this behavior in my design. 回答1: Boost is meant to be a cross platform library while the question you linked to points toward a OS specific implementation which to my knowledge is the only way to do what you are asking. 回答2: In

问题 I have a application using SOLR to query 2 million+ document and sort by time. Query URL param like this /select?sort=p_review_date desc&rows=10&start=0&q=*:* , parameter start is variable value, every request increased 10. When i make performance stress testing, the SOLR server CPU usage close to reach to 100%. Question: 1.What causes high CPU usage? 2.Is there a way to make low CPU usage, such as cache or other configuration. This is a part section for query cache configuration in

问题 We use redis for some data in our app, and it's totally great. I noticed however occasional cpu and memory spikes on the redis-server process. This is the Giraffe dashboard from both our production and staging environments. Staging is obviously much less busy, but production isn't terribly busy either normally... This seems to correlate with the background saving, but not with all of them. Only a handful of those create this spike. Perhaps all do, and it's only down to the measurement

问题 Google's Machine types page states that: For the n1 series of machine types, a virtual CPU is implemented as a single hardware hyper-thread on a 2.6 GHz Intel Xeon E5 (Sandy Bridge), 2.5 GHz Intel Xeon E5 v2 (Ivy Bridge)...etc Assuming that a single physical CPU core with hyper-threading appears as two logical CPUs to an operating system, then if the n1-standard-2 machine that is described as 2 virtual CPUs and 7.5 GB of memory, then this essentially means 1 CPU core, right? So if I'm trying

问题 I've been trying to move away from using the PerformanceCounter class for monitoring a process's CPU usage since it seems it requires a decent amount of CPU when the process count gets decently high (when monitoring a lot of processes). My first approach was to take the WMI route using Win32_PerfFormattedData_PerfOS_Processor class and the PercentProcessorTime property, but there seems to be an issue when trying to calculate the CPU usage over multiple cores (the max value it's returning is

问题 1) Exclusive time is the time spent in the method 2) Inclusive time is the time spent in the method plus the time spent in any called functions 3) We refer to calling methods as "parents" and called methods as "children." Reference Link : Click here Question here is : what are difference between Incl CPU Time & Incl Real CPU Time ? Excl CPU Time & Excl Real CPU Time ? in my one example trace file for Method1() : Incl CPU Time = 242 msec & Incl Real CPU Time = 5012 msec i can not identify

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 6 years ago . What do you count as a CPU intensive task. In terms of ... an algorithm/code for example (not so much a use case like video editing

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 6 years ago . What do you count as a CPU intensive task. In terms of ... an algorithm/code for example (not so much a use case like video editing

问题 I am working on multiprocessing in Python. For example, consider the example given in the Python multiprocessing documentation (I have changed 100 to 1000000 in the example, just to consume more time). When I run this, I do see that Pool() is using all the 4 processes but I don't see each CPU moving upto 100%. How to achieve the usage of each CPU by 100%? from multiprocessing import Pool def f(x): return x*x if __name__ == '__main__': pool = Pool(processes=4) result = pool.map(f, range