Contributions of the week (Week 4)

During this week I made some contributions in the applications and cluster part of the project. I consider very important to know the things we can do.

I added some information about finding passwords and encryption keys using a supercomputer here

I also contributed with some instructions of how to configure the cluster to help all users (either normal or root) to navigate it here

Contributions of the week (week 3)

This week I did a lot of contributions to the wiki:

I added a series of steps people must follow if they want to compile CUDA and to see some of the example code of all the folders and files of CUDA.
What I added was also helpful in the installation of the necessary tools that make CUDA work correctly in a computer.
This is very important because people can now see and modify the example code of CUDA and they can understand how it works.

Here is the link to the wiki

My nominations:

Roberto Martinez
Ramon Esteban
Juan Carlos Espinoza

CUDA

CUDA is a programming model and parallel computing platform invented by NVIDIA. It works increasing the power of the GPU (Graphics Processing Unit) and it can help increase dramatically the performance of the computer or device where it is installed. It is useful in simulation models, it helps them to be more realistic and exact. Because it is useful in simulation models it can help to reduce the cost of an important project. It has a lot of uses, here I'm going to describe some of them:

1. Blood flow simulation and identification of hidden plaque in arteries

2. Reduction of analysis time of air traffic flow

3. Visualization and large performance boost of nanoscale molecular dynamics (NAMD)

4. Image Analysis and Video Forensics

5. Matlab GPU computing

Almost every major consumer video application has been accelerated by CUDA (Applications such as products from Adobe, Sony, MotionDSP, etc)

It has also been helpful in scientific research because it can accelerate molecules from a simulation program and it can help in new discoveries. It is used by many reserchers, doctors and pharmaceutics over the world.

It is also useful in the financial market, with applications such as Numerix and CompatiblL. It is used in many financial institutions.

 Because of CUDA there are now a large amount of GPU clusters installed around the world, and many different companies are using it.

GPU computing is fully supported by all major operating systems.

Bibliography

CUDA Applications

Contributions of the week (week 2)

During this week I made some posts about the installation of the Hamachi application for those users having mac:

Why hamachi?
Hamachi is a tool that can help us to simulate a Local Area Network (LAN). It lets you securely extend LAN-like networks to distributed teams and workers, therefore, it may be useful because it can help us to work in teams without necessarily being on the same place.

Here is a link to the wiki where I added the information

And here are the contributions I made for the wiki:

I also helped with the translation of some things in this page related to cuda and hamachi.

Because there are a lot of students that have a mac computer, I considered important for them to know how to install it.

Nominations of the week:

Juan Carlos (Because he added the principal information of hamachi to the wiki)
Cecilia (Because she made a program that created recursive threads and that simulated the infection of a virus)

Bibliography:

Installation of hamachi