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.
Carbon nanotubes (CNTs) attract great attention for their strong potential in applications involving aerospace/naval materials, nano-electrical products, optical devices, chemical sensors, catalyst supports, water/gas treatments, drug carriers and artificial tissues.
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
In April, physicists working on the ALICE project (short for A Large Ion Collider Experiment) began recording data from collisions within the Large Hadron Collider, operated by the European Laboratory for Nuclear Research (CERN) near Geneva, Switzerland.
Samuel Shepard, Ph.D., a researcher in the University of Toledo bioinformatics lab of Associate Professor Alexei Fedorov, recently developed an algorithm for the prediction of certain genomic sequences, known as exons and introns, using midrange sequences of 20-50 nucleotides in length.
As a computational linguist, Ohio State University Professor Chris Brew merges computer science with the scientific study of language and communication.
In the near future, the world’s fastest supercomputers will incorporate millions of processing elements, a substantial increase in scale over the high performance computing systems in use at leading research centers today. At the same time, however, the rates at which users can access data storage devices, such as hard disks, are not increasing at the same rate.
