A recently developed, evolutionary computation approach offers researchers an alternative approach to search for models that can best explain experimental data derived from applications such as economics. Esmail Bonakdarian, Ph.D., a Franklin University assistant professor of computing sciences and mathematics, leveraged Ohio Supercomputer Center resources to test the underlying algorithm.
The Ohio Supercomputer Center has a long history of supporting industrial research, reaching back as far as the Center’s founding in 1987. Manufacturers have leveraged the Center’s computational and storage resources to design and test many products, such as electronics, fans, containers, fuel cells and wind deflectors.
A team of engineering students at The Ohio State University’s (OSU) Center for Automotive Research (CAR) recently began running aerodynamics simulations, one of the first steps in the complex process of designing, building and racing the fourth iteration of their record-breaking, alternative-fuel streamliner.
In the past decade, a series of useful molecular systems – known as phototriggers, photoswitches, photocaging groups or photoremovable protecting groups (PRPGs) – have been used in a wide variety of applications, playing a key role in the release of fragrances from household goods, as an aid in multi-step syntheses and in drug and gene delivery.
Message Passing Interface (MPI) is the dominant parallel computing model on supercomputers today, including petascale systems that are capable of executing one quadrillion operations per second. MPI allows the thousands of nodes in these large clusters to “talk” with one another over high-speed, internal networks, such as