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2 Articles match "Algorithms","Demo"
| Related DevelopMentor Courses | MORE | | Guerrilla.NET (US) Training In this module we look at the simplified model but also highlight that parallelizing algorithms is never as simple as it might first seem. From there we will build out a.NET application using LINQ and MongoDB in a series of interactive demos using Visual Studio 2010 and C#. We will also be covering the NoRM LINQ to MongoDB library in our demos. C# : Leverage new features of C# including asynchronous methods from C# 5.0, dynamic typing from C# 4.0, and LINQ and lambda expressions from C# 3.0. assuming Silverlight 5.0 beta is available after Mix 11). and jQuery. and jQuery. DevelopMentor Courses - Tuesday, March 1, 2011 Day of.NET Threading Training At the end of an exhausting day you will take away all the slides, demos and a series of lab exercises for you to study at your leisure. We further build on these fundamentals to discuss lock free algorithms and dive into the lock free data structures in.NET 4. ? It turns out parallelizing all but the most trivial piece of code is challenging.NET 4 attempts to assist the developer by providing support in the framework to assist parallelizing algorithms through the use of parallel constructs like Parallel.For, and Parallel LINQ and a variety of concurrent data structures. DevelopMentor Courses - Friday, March 23, 2012 |
5 Articles match "Algorithms","Demo"
| The Latest from DevelopMentor | MORE | | HTML5 Background tasks using Web Workers Update: Check out these live Simple Web Worker and Chunked Web Worker demos. Using a chunking algorithm. The solution is to use a chunking algorithm. This algorithm brakes the calculation into different groups and use the setTimeout() API to execute the next chunk after a small delay. Using a chunking algorithm out background worker JavaScript looks like this: 1: var isPaused = false ; 2: 3: onmessage = function (e) {. Update: Check out these live Simple Web Worker and Chunked Web Worker demos. The following HTML page contains all the code required. The Problem Solver - Wednesday, May 2, 2012 Microsoft's Parallel Framework extensions (Pfx) isn’t always the free lunch its cracked up to be. I’ve seen numerous demos of Microsoft's Parallel Framework Extensions ( Pfx), and as you would expect they focus on showing how easy it is to make sequential code go faster on multiple cores. Whilst there is no disputing that the code that is run certainly scales as you add new processors, you can’t get away from the fact that a lot of these demos are contrived, heavy use of Thread.SpinWait to simulate lots of computation for each parallel task. One demo I’ve seen over and over again is summing the nodes of a binary tree. 0 : SumTree(root.Left)) + (root.Right == null ? .NET Mutterings - Wednesday, April 1, 2009 NET 3.5 Brings Major (Undocumented) Changes to ThreadPool My demo took almost twice as long to run as it had the last time I did this demo a few months ago. We speculated that this backoff algorithm makes sense given the new 250-thread per CPU maximum - it would take a long time to reach that if the runtime waits longer and longer to start a new thread. The 250-thread limits makes it less likely that your application will deadlock the thread pool, and the exponential backoff algorithm keeps the thread pool from creating too many threads too quickly. It was all going so smoothly. and ran it side-by-side with.NET 3.5 Kennedy. Michael C. Kennedy's Weblog - Wednesday, February 6, 2008 | -
| The Best from DevelopMentor | MORE | - HTML5 Background tasks using Web Workers
Update: Check out these live Simple Web Worker and Chunked Web Worker demos. Using a chunking algorithm. The solution is to use a chunking algorithm. This algorithm brakes the calculation into different groups and use the setTimeout() API to execute the next chunk after a small delay. Using a chunking algorithm out background worker JavaScript looks like this: 1: var isPaused = false ; 2: 3: onmessage = function (e) {. Update: Check out these live Simple Web Worker and Chunked Web Worker demos. The following HTML page contains all the code required. The Problem Solver - Wednesday, May 2, 2012 - Free Running Threads
With the rise of multi core machines it is becoming increasingly more important to write algorithms that can scale with the availability of new cores. when I first developed this demo I did so on a single core machine and this was its first outing on a dual core, so what went wrong.all my multi threading life I've been told that interlocked is far cheaper than the heavier weight mutex style of synchronization. then moved to using Interlocked.Increment and now everything was as expected for the result, but it was slower than a simple i++. All well and good so far.I .NET Mutterings - Wednesday, March 21, 2007 - Pfx, Parallel Extensions take advantage of multiple cores, but be careful.
So first task was to find some code I wanted to parallelise I frequently use a piece of logic I stole from the book "How long is a piece of string" that uses many iterations to work out the value of PI as a good async demo, so I thought I would have a go at parallelising this piece of code. Not put off I refactored the code to make the algorithm have an inner loop, thus increasing the amount of work for each parallel for iteration. Pfx has really two layers one which offers a relatively high level of abstraction, providing a Parallel.For, Parallel.Do Parallel.Do .NET Mutterings - Sunday, January 13, 2008 - Microsoft's Parallel Framework extensions (Pfx) isn’t always the free lunch its cracked up to be.
I’ve seen numerous demos of Microsoft's Parallel Framework Extensions ( Pfx), and as you would expect they focus on showing how easy it is to make sequential code go faster on multiple cores. Whilst there is no disputing that the code that is run certainly scales as you add new processors, you can’t get away from the fact that a lot of these demos are contrived, heavy use of Thread.SpinWait to simulate lots of computation for each parallel task. One demo I’ve seen over and over again is summing the nodes of a binary tree. 0 : SumTree(root.Left)) + (root.Right == null ? .NET Mutterings - Wednesday, April 1, 2009 - NET 3.5 Brings Major (Undocumented) Changes to ThreadPool
My demo took almost twice as long to run as it had the last time I did this demo a few months ago. We speculated that this backoff algorithm makes sense given the new 250-thread per CPU maximum - it would take a long time to reach that if the runtime waits longer and longer to start a new thread. The 250-thread limits makes it less likely that your application will deadlock the thread pool, and the exponential backoff algorithm keeps the thread pool from creating too many threads too quickly. It was all going so smoothly. and ran it side-by-side with.NET 3.5 Kennedy. Michael C. Kennedy's Weblog - Wednesday, February 6, 2008 %>
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