Anton, special purpose supercomputer for molecular simulations

A special purpose supercomputer, Anton, is being made to accelerate the modelling of protein folding and provide a thousandfold increase in performance for complex molecular simulations.

The effort is being led by David E. Shaw, a billionaire computer scientist. In the 1990s, Mr. Shaw was one of the most successful of an elite group of technologists pursuing computer-based trading strategies on Wall Street. Several years ago Mr. Shaw, who is also a major investor in Schrdinger, a chemical simulation software firm, stepped away from day-to-day management of his investment firm, D. E. Shaw & Company. He is now chief scientist of D. E. Shaw Research. It could be used to investigate problems of great scientific interest, like the folding of protein molecules, and in the design of drugs based on the simulated biological activity of different molecules.

Note: This is what billionaires and near billionaires should be doing funding grand technological and scientific research projects that could create huge advances for civilizations capabilities. Fund high leverage, high risk and high potential world changing projects. SENS still needs another billionaire or two and Robert Freitas and Ralph Merkle need one to enable rapid develop of their diamond mechanosynthesis work.

Anton is described in an ACM paper

The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macro-molecules could in principle provide answers to some of the most important currently outstanding questions in the fields of biology, chemistry, and medicine. A wide range of biologically interesting phenomena, however, occur over timescales on the order of a millisecond—several orders of magnitude beyond the duration of the longest current MD simulations.

We describe a massively parallel machine called Anton, which should be capable of executing millisecond-scale classical MD simulations of such biomolecular systems. The machine, which is scheduled for completion by the end of 2008, is based on 512 identical MD-specific ASICs that interact in a tightly coupled manner using a specialized highspeed communication network. Anton has been designed to use both novel parallel algorithms and special-purpose logic to dramatically accelerate those calculations that dominate the time required for a typical MD simulation. The remainder of the simulation algorithm is executed by a programmable portion of each chip that achieves a substantial degree of parallelism while preserving the flexibility necessary to accommodate anticipated advances in physical models and simulation methods.

Simulations of processes like the folding of proteins into three-dimensional structures or the interactions between proteins or between a protein and a drug molecule hold out the promise of advancing science and drug development. However, each simulation must be validated by experimental scientists in a laboratory setting. Thus one of the principal advantages of increased speed in simulations that now take thousands of hours on the fastest supercomputers is to speed the time to the laboratory.

Scientists said the real value of Anton might not be known until they find out what the machine can do. “Only after Anton van Leeuwenhoek used his microscope did he see protozoa in the pond water,” said Roger Brent, director of the Molecular Sciences Institute, an independent research laboratory in Berkeley, Calif.

In molecular dynamics (MD), you must divide time into discrete 1-femtosecond time steps.

If the time steps are too long, individual atoms run into each other, get higher energy configurations, and everything becomes unstable. For each individual step, you must compute the interaction between all pairs of particles, determined by molecular force fields. Then you must move each atom a tiny bit and repeat the process a huge number of times.

Two approaches to protein-folding simulation include simulating many short trajectories and simulating one very long MD trajectory. While both approaches are complementary, Shaw’s group practices the second approach, which requires enormous amount of parallelism. To reach their goal of simulating a full millisecond requires an enormous increase in speed — 10,000 times more speed than single-processors, and 1000 times the speed of the best existing parallel implementations. “We are several orders of magnitude from where we need to be,” said Shaw.

Shaw’s lab has also created specialized software, dubbed Desmond, for MD. It’s developed to run on Anton but the algorithm can be adapted to run on computational clusters

Shaw cautioned that we don’t know enough about the accuracy of molecular force fields, and that maybe after 100 or so microseconds, a small inaccuracy in the force field calculation “would lead to a very fast way of getting the wrong answer.”

From HPCwire review of the Newport conference

3 thoughts on “Anton, special purpose supercomputer for molecular simulations”

  1. I do not think that war with Iran is the best way for the USA to achieve its goals.

    Iran needs key parts from the USA and allies. The lack of such parts is preventing/hindering the proper repair and maintenance of oil infrastructure.

    That being said, those countries that you list are not strong allies of Iran and would not fight with them. Iran has strong control over elements in Lebanon and influence over some of the Palestinians.

    Opportunistically other countries would for ways to benefit from any US/Iran conflict.

    An attack by the US on Iran would be from an unwillingness to be patient and clever using more subtle means.

    Iran is working towards a nuclear bomb. I think even if they get it that this is a risk that can be managed. But then again I do not live in Tel Aviv or Jerusalem or New York. I think it would be a huge miscalculation on the part of Iran to use a nuclear weapon. If either the US or Israel were hit with a nuke, Iran and several other arab countries would be destroyed.

    It also shows an unwillingness to use deterrence etc… from reigning in a nuclear Iran. If the current US administration feels that they cannot trust the next administration to do what they think should be done in the endgame of Iran completing a bomb then they have to act before the end of 2008 to ensure a disruption of Iran’s progress to a nuclear bomb.

    I think improving technology for remote detection of nuclear material and weapons is possible and that a nuclear Iran can be managed.

    The current administration has a different calculation. If the chance of WMDs in Iraq was too great a risk then the real risk of WMD in Iran would be too great a risk.

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