Referral Race 2012

Hi team.

We're having a great start for the year 2012 and i want to boost it with small referral race.

Referral race is simple.

1. Crunch in our Boinc team and get at least one friend to join our Boinc team.
2. Soon as your friend is crunching regular(10 000 boinc points from cpu project and 100 000 boinc points from gpu project untill 29/02/2012) Ask your friend to email your nick and project to Akiles@windowslive.com and i will add one ticket from each friend to prize drawal. More friends to join, more tickets and better chances to win.
3. Main prize is NEW Battlefield 3 game download ticket and winner will be announced 29/02/2012.

Everyone can join and chance to win is good. I will add small prizes in the mix if i will receive more.

If you have any questions, please email Akiles@windowslive.com

Thank you
LTDAkiles
Team Captain
Email/Msn: Akiles@windowslive.com

You can join the team by searching team with "My efforts against childhood cancer".

Here is direct links to the team page in our main projects( Click bolded project name)

Milkyway@home : Milkyway@Home uses the BOINC platform to harness volunteered computing resources, creating a highly accurate three dimensional model of the Milky Way galaxy using data gathered by the Sloan Digital Sky Survey. Cpu and AMD Gpus(AMD 4830 or better,5830 or better, 6950 or better)

World Community Grid : World Community Grid brings people together from across the globe to create the largest non-profit computing grid benefiting humanity. It does this by pooling surplus computer processing power. We believe that innovation combined with visionary scientific research and large-scale volunteerism can help make the planet smarter. Our success depends on like-minded individuals - like you. Projects: GO Fight Against Malaria, Drug Search for Leishmaniasis, Computing for Clean Water, The Clean Energy Project - Phase 2, Help Cure Muscular Dystrophy - Phase2, Help Fight Childhood Cancer, Help Conquer Cancer, FightAIDS@Home, Discovering Dengue Drugs - Together - Phase 2


MalariaControl.net :

What is malariacontrol.net?

The malariacontrol.net project is an application that makes use of network computing for stochastic modelling of the clinical epidemiology and natural history of Plasmodium falciparum malaria.

Simulation modeling of malaria

The fight against malaria was given a new impetus by the call for eradication at the Gates Malaria Forum in October 2007, making more but still limited resources available for research, development, and combating malaria. To inform decisions on which new or existing tools to prioritize, we have developed a general platform for comparing, fitting, and evaluating stochastic simulation models of Plasmodium falciparum malaria, programmed in C++ (openmalaria).

We use this to inform the target product profiles for novel interventions like vaccines, addressing questions such as minimal efficacy and duration of effects needed for a vaccine to be worthwhile, and also to optimize deployment of established interventions and integrated strategies. Field trials of interventions consider effects over 1-2 years at most, but the dynamics of immunity and human demography also lead to longer term effects. We consider many different outcomes, including transmission reduction or interruption, illness, hospitalization, or death, as well as economic aspects.


GPUGRID.net is a distributed computing infrastructure devoted to biomedical research. Thanks to the contribution of volunteers, GPUGRID scientists can perform molecular simulations to understand the function of proteins in health and disease. Projects: Cancer : Unveiling mechanisms of drug resistance and malfunctions in cell signalling pathways in Cancer. Hiv/Aids : Modelling the process of how HIV maturation first starts by simulating the activation of one of its key proteins: the protease. Neural disorders : Investigating features of neurologically important proteins that have thus far evaded traditional experimental techniques. Nvidia Gpus

2012 Projects

For year 2012 projects are:


For Cpu:
World Community Grid 
Join here
Malariacontrol.net
Join Team here

For GPU(AMD):

Milkyway@home for DP gpus (48xx,58xx,69xx,79xx-series)
Join Team here
Moo!Wrapper for SP gpus (47xx or lower,57xx or lower,68xxor lower)
Join Team here

For GPU(NVIDIA):

Gpugrid
Join Team here
Primegrid
Join Team here






Almost every project have information how to install Boinc software and how to get started. If you are interested to start or want more information, please email Akiles@windowslive.com

Thank you

Merry Christmas and Happy New Year

Merry Christmas and Happy New Year.

Thanks team from this great year. Team is growing and crunching. That's why the team was created. Crunch for good cause and making the world a better place for our kids.

LTDAkiles

Please join "My efforts against Childhood Cancer" Team at Malariacontrol.net

 Please Join our teams last crunching rush of 2011 at Malariacontrol.net.

What is malariacontrol.net?

The malariacontrol.net project is an application that makes use of network computing for stochastic modelling of the clinical epidemiology and natural history of Plasmodium falciparum malaria.

Simulation modeling of malaria

The fight against malaria was given a new impetus by the call for eradication at the Gates Malaria Forum in October 2007, making more but still limited resources available for research, development, and combating malaria. To inform decisions on which new or existing tools to prioritize, we have developed a general platform for comparing, fitting, and evaluating stochastic simulation models of Plasmodium falciparum malaria, programmed in C++ (openmalaria).

We use this to inform the target product profiles for novel interventions like vaccines, addressing questions such as minimal efficacy and duration of effects needed for a vaccine to be worthwhile, and also to optimize deployment of established interventions and integrated strategies. Field trials of interventions consider effects over 1-2 years at most, but the dynamics of immunity and human demography also lead to longer term effects. We consider many different outcomes, including transmission reduction or interruption, illness, hospitalization, or death, as well as economic aspects.

Malaria occurs in an enormous variety of ecological settings, and interventions are not always universally applicable. For instance, indoor residual spraying works only with indoor-resting mosquitoes, and insecticide treated mosquito nets only with nocturnal vectors. The best combinations of interventions vary, as do optimal delivery approaches and their health system implications. There are trade-offs between high coverage and costs or feasibility of deployment. Indiscriminate deployment may lead to evolution of drug resistance or insensitivity to other interventions. To support the analysis of these elements we are assembling databases of health system descriptions, intervention costing, and vector bionomics across different malaria ecotypes.

Uncertainties inherent in simulations of complex systems are addressed using probabilistic sensitivity analyses, fitting multiple different models, and basing predictions on model ensembles not single simulations. This requires super-computing, both for statistical fitting (which must simultaneously reproduce a wide range of outcomes across different settings), and for exploring predictions. We obtain this computing power over the internet from spare capacity on the computers of volunteers (malariacontrol.net).

Meetings with potential users of these predicitons are used to promote the models and their predictions to wider communities of malariologists, planners, and policy specialists. We are also developing web-based job submission and analysis systems to increase internet access to models.
This project is supported by

 You can join here after adding project to your Boinc Manager :http://www.malariacontrol.net/team_display.php?teamid=3333

"My efforts against childhood cancer" Team Captain is user of the day @Moo!wrapper!

   "My efforts against childhood cancer" Team Captain is user of the day @ Moo!Wrapper
Because of this honor i have ordered AMD Sapphire 6950 for Moo!Wrapper Boinc crunching.
Hopefully this new gpu will generate more points and get more work done for our Boinc team "My efforts against childhood cancer". Hopefully our team will interest new boincers to join our Boinc team.

Please join My efforts against childhood cancer  Moo!Wrapper team.

If you are interested about Boinc, want more information or don't know Boinc project just for you, please email Akiles@windowslive.com and i'm happy to help.

Thank you
LTDAkiles

Waiting for Radeon HD 7950 / 7970 / 7990 and Nvidia "Kepler" 28nm

   We "crunchers" will soon get nice new gpus to crunch with. Interesting times again.
I will get most likely at least new AMD HD 7950 or 7970 and maybe Nvidia "Kepler" if it will offer good performance vs Price with good energy efficiency. Let's hope AMD and Nvidia will release quality gpus with equal performance. In that case we the consumers will win, because of the price competition. Hopefully AMD will be strong at Folding@Home and Boinc crunching.

Superlink@Technion

  Superlink@Technion helps geneticists all over the world find disease-provoking genes causing some types of diabetes, hypertension (high blood pressure), cancer, schizophrenia and many others.

   Superlink@Technion helps geneticists perform genetic linkage analysis, which is a statistical method used to associate functionality of genes with their location on chromosomes. It typically serves for detecting mutated disease-provoking genes. This analysis can be extremely computationally intensive and has been parallelized for simultaneous execution on many computers. Geneticists submit the data for the analysis via Superlink-online linkage analysis portal. The tasks are then automatically parallelized and scheduled for execution on many computers in the Technion, in the University of Wisconsin in Madison, and also on many computers all over the world.


Your computer can help geneticists perform their analysis faster! All you need to do is download and install a small client, called BOINC. The client will start the computations according to the predefined scheduling policy, which by default is configured to start jobs only at nights and during weekends. The client will pull the data and the executable from our server, perform the computations and then return the results back to the server. The program that will perform the actual computations is called Superlink. It is a well known genetic linkage analysis program developed in our laboratory, and thoroughly tested to make sure that it cannot corrupt any local data. You will also be able to configure your BOINC client to restrict the use of your computer.

My efforts against childhood cancer Team have been created there.