I coded it in the assumption that asynchronous and parallel processing would be the same Asynchronous processing and parallel processing are quite different. If you don’t understand the difference, I think you should first read more about it (for example what is the relation between Asynchronous and parallel programming in c#?). Now, what you want … Read more
My approach to bulk operations with chunking is to use a partitioning spliterator wrapper, and another wrapper which overrides the default splitting policy (arithmetic progression of batch sizes in increments of 1024) to simple fixed-batch splitting. Use it like this: Stream<OriginalType> existingStream = …; Stream<List<OriginalType>> partitioned = partition(existingStream, 100, 1); partitioned.forEach(chunk -> … process the … Read more
You could use events to sync. Like this: private static ManualResetEvent resetEvent = new ManualResetEvent(false); public static void Main() { ThreadPool.QueueUserWorkItem(arg => DoWork()); resetEvent.WaitOne(); } public static void DoWork() { Thread.Sleep(5000); resetEvent.Set(); } If you don’t want to embed event set into your method, you could do something like this: var resetEvent = new ManualResetEvent(false); … Read more
You might look into Jobs or runspaces. Here is an example of Jobs: $block = { Param([string] $file) “[Do something]” } #Remove all jobs Get-Job | Remove-Job $MaxThreads = 4 #Start the jobs. Max 4 jobs running simultaneously. foreach($file in $files){ While ($(Get-Job -state running).count -ge $MaxThreads){ Start-Sleep -Milliseconds 3 } Start-Job -Scriptblock $Block -ArgumentList … Read more
. I sent an email to OpenMP developers about this subject, the answer I got: For signed int, the wrap around behavior is undefined. If we allow !=, programmers may get unexpected tripcount. The problem is whether the compiler can generate code to compute a trip count for the loop. For a simple loop, like: … Read more
It’s kinda true, but not really at all. What do I mean with that? First, let’s get your documentation question out of the way. The following is from paragraph ยง3.13 of the PowerShell version 3.0 Language Specification: If a command writes a single object, its successor receives that object and then terminates after writing its … Read more
Use joblib’s Parallel module to do that, its a great library for parallel execution. Lets say we have a list of urls named urls and we want to take a screenshot of each one in parallel First lets import the necessary libraries from selenium import webdriver from joblib import Parallel, delayed Now lets define a … Read more
If I understand you well, you want to limit the number of simultaneous requests? There is a object inside asyncio named Semaphore, it works like an asynchronous RLock. semaphore = asyncio.Semaphore(50) #… async def limit_wrap(url): async with semaphore: # do what you want #… results = asyncio.gather([limit_wrap(url) for url in urls]) updated Suppose I make … Read more
As Ken said, it can’t, but with 2.6’s multiprocessing module, it’s pretty easy to parallelize computations. import multiprocessing try: cpus = multiprocessing.cpu_count() except NotImplementedError: cpus = 2 # arbitrary default def square(n): return n * n pool = multiprocessing.Pool(processes=cpus) print(pool.map(square, range(1000))) There are also examples in the documentation that show how to do this using … Read more
Here is a RateLimiter class that you could use in order to limit the frequency of the asynchronous operations. It is a simpler implementation of the RateLimiter class that is found in this answer. /// <summary> /// Limits the number of workers that can access a resource, during the specified /// time span. /// </summary> … Read more