UB Today Alumni Magazine Online - Winter 2003
FeaturesAlumni ProfilesClassnotesCalendarThe MailFinal WordEditor's Choice


Features
High-speed science
Makin' That Hi–Hat Sing and Other Tales of an Interactive Computer Composer
Hollywood 101




Related Links
Center for Computational Research
Dell Computers



  Modeling injuries to help survivors of shaken-baby syndrome

  patra
  Dr. Abani Patra makes use of the Dell cluster’s exceedingly fast connections to study pediatric brain injury in greater detail.

Even in an emergency room, where tragedy is a daily occurrence, the diagnosis of shaken-baby syndrome still jolts the most seasoned health-care workers. Prevention efforts have shown success, but an estimated 1,400 infant deaths occur annually in the U.S.; experts believe the actual incidence may be much higher. The ability to best care for and treat the small victims who survive may depend, in part, on work now under way with UB's Dell computer cluster.

The Applied Computational Mathematics and Mechanics Research team led by Abani Patra, UB associate professor of mechanical and aerospace engineering, develops computational techniques to use supercomputers to study complex, often violent physical phenomena, such as volcanic eruptions or the function of automobile safety seats for children during car crashes.

"Engineering analysis boils down to creating good mathematical models to represent the physics," Patra explains. "The Dell cluster enables us to construct more accurate numerical approximations and to examine more modeling assumptions."

While modeling simple, one-time injuries has many things in common with injuries caused by shaken-baby syndrome, Patra says modeling the latter is more complex because of the type and mechanisms of tissue damage that result from the repeated shaking of the brain.

By revealing more about the biomechanics and how such injuries are sustained, Patra's work, along with that of collaborators at Pennsylvania State University, is contributing to the development of better diagnoses of the syndrome and may one day lead to improved treatment for survivors, about half of whom experience significant lifelong problems, including blindness, eye damage, seizures, developmental delays and paralysis.

Before the arrival of the Dell cluster on campus, Patra and his UB colleagues had to make what he describes as "gross simplifications" about the many complex phenomena that occur inside the skull while pediatric brain injury is being sustained.

"We've had to grossly simplify details of brain geometry, like what happens to the connections between blood vessels and brain tissue," he says. "We've had to neglect the effect of the complex interactions with the cerebro-spinal fluid and had to simplify how all these different components interact. Our hope is now that we have access to a much faster computer the number and severity of our assumptions will be sharply reduced," he adds.

Patra explains, "For distributed memory computing, we 'cut up' the problem into discrete pieces on which each processor can work simultaneously yet independently."

Once each of the 600 Pentium-4 processors in the Dell cluster has finished its piece of the problem, the scientists use the cluster's Myrinet network to integrate all of the individual solutions, eventually producing a much more accurate representation of what happens inside the baby's head.

Patra says that loosely coupled phenomena, such as the calculation of the odds that a flipped coin will land on its head, can be done on computers with loose interconnections between processors, since each flip of the coin is an independent action and, in like fashion, information does not have to be exchanged between individual processors.

By contrast, pediatric brain injury, he explains, is an example of physical phenomena that can be studied in sufficient detail only on machines that have very fast connections between individual processors, which is a key function of parallel computing and the new Dell cluster.

"The cluster," he notes, "immediately allows us to work on the computational scale, where the cutting-edge work is being done in terms of methods we can develop to more efficiently create accurate simulations."

return to High-speed science main page


ArchivesGuestbook/FeedbackHomeAlumni HomeUB Home