multithreading

问题 I'm totally fresh about threading and GUIs, therefore I couldn't figure out exactly where to call this EventQueue.invokeLater() method. Am I supposed to call it in every event listeners and something else? What are those "things" to call this method? If so, is there any alternative way to call-once-apply-everywhere method so that It won't take bunch of lines to tuck them to the Event dispatch thread? Thank you. 回答1: therefore I couldn't figure out exactly where to call this EventQueue

问题 I am running code in a loop for multiple iterations on a dedicated CPU with RT priority and want to observe its behaviour over a long time. I found a very strange periodic behaviour of the code. Briefly, this is what the code does: Arraythread { while(1) { if(flag) Multiply matrix record time; reset flag; } } mainthread { for(30 mins) { set flag; record time; busy while(500 μs) } } Here are the details about the machine I am using: CPU: Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz L1 cache: 32K

问题 I am running code in a loop for multiple iterations on a dedicated CPU with RT priority and want to observe its behaviour over a long time. I found a very strange periodic behaviour of the code. Briefly, this is what the code does: Arraythread { while(1) { if(flag) Multiply matrix record time; reset flag; } } mainthread { for(30 mins) { set flag; record time; busy while(500 μs) } } Here are the details about the machine I am using: CPU: Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz L1 cache: 32K

问题 I am running code in a loop for multiple iterations on a dedicated CPU with RT priority and want to observe its behaviour over a long time. I found a very strange periodic behaviour of the code. Briefly, this is what the code does: Arraythread { while(1) { if(flag) Multiply matrix record time; reset flag; } } mainthread { for(30 mins) { set flag; record time; busy while(500 μs) } } Here are the details about the machine I am using: CPU: Intel(R) Xeon(R) Gold 6230 CPU @ 2.10 GHz L1 cache: 32K

问题 In Julia v1.1, assume that I have a very large text file (30GB) and I want parallelism (multi-threads) to read eachline, how can I do ? This code is an attempt to do this after checking Julia's documentation on multi-threading, but it's not working at all open("pathtofile", "r") do file # Count number of lines in file seekend(file) fileSize = position(file) seekstart(file) # skip nseekchars first characters of file seek(file, nseekchars) # progress bar, because it's a HUGE file p = Progress

问题 In Julia v1.1, assume that I have a very large text file (30GB) and I want parallelism (multi-threads) to read eachline, how can I do ? This code is an attempt to do this after checking Julia's documentation on multi-threading, but it's not working at all open("pathtofile", "r") do file # Count number of lines in file seekend(file) fileSize = position(file) seekstart(file) # skip nseekchars first characters of file seek(file, nseekchars) # progress bar, because it's a HUGE file p = Progress

问题 In Julia v1.1, assume that I have a very large text file (30GB) and I want parallelism (multi-threads) to read eachline, how can I do ? This code is an attempt to do this after checking Julia's documentation on multi-threading, but it's not working at all open("pathtofile", "r") do file # Count number of lines in file seekend(file) fileSize = position(file) seekstart(file) # skip nseekchars first characters of file seek(file, nseekchars) # progress bar, because it's a HUGE file p = Progress

问题 I use Python 2.7 and I have a task to write a function that calculates factorial using multiple threads. I tried to do that using traditional recursive approach, like def factorial(n): if n < 1: return 1 else: return n * factorial(n - 1) But it seems that this way doesn't suite for multithreading. Are there any ways to calculate factorial using multiple threads? 回答1: In multi-threading applications it is best to minimize the data dependencies that exists between the different threads. In the

问题 I use Python 2.7 and I have a task to write a function that calculates factorial using multiple threads. I tried to do that using traditional recursive approach, like def factorial(n): if n < 1: return 1 else: return n * factorial(n - 1) But it seems that this way doesn't suite for multithreading. Are there any ways to calculate factorial using multiple threads? 回答1: In multi-threading applications it is best to minimize the data dependencies that exists between the different threads. In the

问题 I want every app to be able to send data to my service. Therefore I need inter process communication. Every page I can find proposes to use Messenger, AIDL or Intents (BroadcastReceiver). So far what I could figure out by building some test apps is that BroadcastReceiver is extremely slow and messages can get lost without notification if sending with multiple threads inside while(true) loop. AIDL and Messenger are not only complicated to implement (service is needed, binder,...) but can