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Parallel Implementation of Backward Substitution in Gaussian Elimination to Solve Systems of Linear Equations
21 July 08 05:42 AM | norman | 4 comment(s)
I just uploaded another paper on Parallel Computing . This time I implemented parallel algorithm in the backward Substitution portion of the Gaussian ELimination algorithm to solve Systems of Linear Equations. I used C++ and the MPI Library from the Microsoft...
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General Strategy in Seeking Solution to a Computational Problem (An Algorithm Design Technique)
01 June 08 03:44 PM | norman | 3 comment(s)
The basic general strategy is: Replace a difficult problem with an easier one that has the same solution (or closely related solution) . In other words, transform the representation of your difficult problem into a different representation that is easier...
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Going Parallel? See how big your Serial Fraction First!
29 May 08 03:26 PM | norman | 2 comment(s)
As promised in my earlier post , here I'd like to talk about Amdahl's Law , thru which you'll get the formal idea that speed up by parallelism only really works for certain kind of problems. Problems which algorithms to solve have small serial...
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n processors won't make your program runs n times faster
28 May 08 03:47 PM | norman | 2 comment(s)
Let say it takes 6 minutes to do a computation on a set of data in a single processor. Then you have 3 processors altogether. Would your task finish in 2 minutes (6 divided by 3)? NO IT WON'T! Why? Because your algorithm is a sequential algorithm...
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Foster's Methodology: A Parallel Algorithm Design Methodology
28 May 08 08:06 AM | norman | with no comments
Last time I talked about the several kinds of parallelism , now I'd like to talk about the methodology we can use in designing a parallel algorithms, The Foster's Methodology. First, let's define first a Unit of Computation and call it a Task...
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Probabilistic Neural Networks works better for classification problems
02 May 08 04:30 PM | norman | 4 comment(s)
If you have checked out my paper about the using of Feed-Forward Backpropagation Neural Networks , here's another approach that I used. It is called the Probabilistic Neural Networks . This approach can forecast the onset of Diabetes Mellitus with...
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My Papers on Algorithm Design & Analysis and in Computational Intelligence
26 April 08 08:46 AM | norman | 6 comment(s)
I'd like to sparks and encourage scientific culture in our community. So, I created a new folder called " papers " in our geeks site download section. Here, you can upload (and download) papers, writings that have a more academia style ...
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What is Scientific Computing? What is Computational Science?
16 April 08 02:54 PM | norman | 5 comment(s)
In addition to .NET and programming in general, I will also write about the area of my upcoming thesis: Scientific Computing. I will start easy. As always. First, by defining what is Scientific Computing. Traditionally, it is called Numerical Analysis...
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Oversimplified Mathematical View to Understand the beauty of OOP
05 December 07 01:50 AM | norman | 4 comment(s)
This is my oversimplifed Mathematical view of OOP so that we can understand the beauty of OOP. Where its power really is. Let's define: X is a set of real world concepts that matters. Z is a set of Software objects (usually defined via class). OOP...
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What makes you a good developer? A talk for Microsoft Student Partners
19 November 07 04:14 AM | norman | 8 comment(s)
Last Friday I was invited by Microsoft Indonesia Academic DPE Team to deliver a talk in front of new Microsoft Student Partners (previously known as Microsoft Student Ambassadors) from various universities in Java & Kalimantan. They asked me to deliver...
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