Category: Technology

Can we afford more INCITEful spending?

January 29th, 2010

The DOE's INCITE program awarded 1.6bln CPU hours to 69 researchers. With a $400,000,000 pricetag, do you feel taxpayers are making an investment worth the interest on the debt? Taking the government out of the picture makes ten times more computing power available, while reducing costs by 90%.

Follow up:

Do you feel the DOE should decide what research is "cutting-edge", and deny resources to others? We all want nano solar cells and advancements in nuclear power. Never mind that more than a decade has passed since the last US nuclear power plant went online [source].

These federally funded supercomputing projects are great... if you are one of the 69 chosen few that is allowed to use the resource in 2010. But what about the rest of the research community? They have to wait until 2011 and complete extensive grant proposals to get their research done. A million of the hours are going to IBM to develop drivers and software for supercomputers with 10 million processors [source, page 3]. Our government already paid IBM millions to develop and build the machine at Argonne National Laboratory, now the machine is used to help IBM design an even larger monstrosity that only our federal government can afford.

The INCITE program budget request for 2010's fiscal year is over 400 MILLION dollars [source]. That divides into the 1.6 billion hours and comes out to 25 cents per awarded CPU hour. By comparison, Amazon Web Services charges 8.5 cents an hour for CPU time [source]. That is for a "cloud" resource, and is not "tightly coupled" the way a supercomputer is, but it sure beats waiting another year and hoping for a time allocation in 2011. And we the people are often willing to use our home computers to help with research as well. When volunteer computing like this is used, the cost drops another 10 fold.

If we each took a few minutes and ran one of the research projects on our home computer, for just a week, 10 fold more computing resource would be available to researchers; and we the people can decide which projects are worthy of our support. The University of California at Berkeley as developed the infrastructure that makes it easy for home users to do just that. And DeepSci.com has a service offering making it easy for researchers to utilize such volunteer computing resources.

Our country will be paying interest on the 400 million dollar INCITE funding for the rest of my lifetime. NOT doing the research is not a viable option. Doing research with 10 fold more computing power, at one tenth of the cost is the smart step needed for progress.

When Blue Waters aren't wet.

December 14th, 2009

Link: http://DeepSci.com/blog

Blue Waters is a supercomputer that will be used to tackle research challenges in proteomics, genomics, modeling of macromolecular complex structures and others that simply cannot be performed on any other available computing resources.

Follow up:


Blue Waters is a petascale supercomputer funded by the National Science Foundation and the University of Illinois. It will be under construction until 2011 and located at the University of Illinois at Urbana-Champaign.

The machine is based on IBM's POWER7 processors and will be the first to use a technology IBM calls PERCS (Productive, Easy-to-use, Reliable Computing System). Blue Waters will employ more then 200,000 processor cores and will provide more than 800 terabytes of memory.

Dec 17, 2PM Eastern time, 2hr webinar on Blue Waters supercomputer will discuss opportunities for scientists to access resources of the NSF-funded Blue Waters petascale computing system.

A permenant list of collaberators is being formed:

http://www.nigms.nih.gov/bluewaters/input

The next round of proposals are due March 17, 2010

Scientific areas of interest include, but are not limited to:

> Protein structure prediction from sequence

> Prediction of protein-ligand and protein-protein interactions

> Modeling of macromolecular complex structures by combinations of experimental methods

> Simulation of enzymatic mechanisms and their coupling to macromolecular dynamics

> Analysis and simulation of biological systems of material and information processing

> Genetics of genes, proteins, organisms and populations, and their evolutionary pathways

> Patterns of infectious disease communication and development of resistance

Each year, NSF expects to allocate computing time to 10-12 projects that simply cannot be performed on any other available computing resources. If you want to advance your research before 2011, or are not one of the lucky dozen to access the 200,000 processors, you might consider tapping in to volunteer computing resources and accessing more than 500,000 home computers. Some computing algorithms, simulations and models can be adapted to this sort of loosely-coupled architecture. http://DeepSci.com can help you do just that.