Why PLINQ output is different than sequential processing and Parallel.For loop I want to add sum of square root of 10,000,000 numbers.. Here is the code for 3 cases:
I am using the below code var processed = new List<Guid>(); Parallel.ForEach(items, item => { processed.Add(SomeProcessingFunc(item));
I am looking at using Parallel.For to call into a web service that takes a while to return, however, we know we can call it many times simultaneously and it doesn\'t take that much longer than a singl
I have a database with about 5 million rows in it. I am trying to generate XML strings for the database and push them to a service. Instead of doing this one at a time, the service supports taking 100
I am planning to use Parallel.ForEach on a DataTable so that each record can be written to a file. How can we notify user the percentage/number of records that are processed.
So I was looking at http://codahale.com/how-to-safely-store-a-password/# and became curious how fastdifferent hash could be bruteforced on a somewhat powerful desktop computer and was tempted to test
I want to know what the best way to process the results of a long-running process serially but on a low-priority thread using the .NET 4.0 Parallel Extensions.
As you can guess the index of the Parallel.For() loop jumps from one value to the other开发者_如何学C. How can I estimate the amount of the work done?
I have a simulation engine that I would like to parallelize first and later develop as a web service in C#. This is an intensive simulation that requires a lot of CPU and RAM and I would like to split
I\'m currently working in a dispatcher service that processes thousands of messages delivered in different channels (email, private message, application message) using EF4 and WCF.
加载中,请稍侯......