At Miami University, faculty can access a wealth of high performance computing (HPC) resources, from the Miami Redhawk Cluster housed at the Oxford, Ohio, institution’s campus to state-supported resources at the Ohio Supercomputer Center (OSC) and beyond.
Researchers, developers, system administrators, engineers, and students who share an interest in the MVAPICH open-source library for high performance computing (HPC) are gathering at the Ohio Supercomputer Center (OSC) Monday, Aug. 17, through Wednesday, Aug. 19, for the 14th meeting of the MVAPICH Users Group (MUG).
When Professor Feng (George) Yu traveled from Youngstown State University
When researchers and clinicians at Perth Children’s Hospital in Western Australia began exploring how large language models (LLMs) could support clinical research, the promise of advanced artificial intelligence (AI) tools quickly collided with the realities of working with highly sensitive data.
At Wright State University, a public university in Dayton, Ohio, faculty and students are using the Ohio Supercomputer Center (OSC) to support hands-on coursework and data-driven research across campus.
At Ohio University, students and researchers are using the Ohio Supercomputer Center (OSC) to take on increasingly complex, data-intensive work—from simulating medical research problems to creating digital art with artificial intelligence.
When the University of Otago – Ōtākou Whakaihu Waka set out to modernize access to its high performance computing (HPC) resources, the goal wasn’t to grow infrastructure — it was to remove barriers.
The Ohio Supercomputer Center (OSC) has released version 4.2.2 of Open OnDemand—an open-source web portal used by high performance computing (HPC) centers to offer researchers and students easy access to computational resources—to comply with new U.S. digital accessibility regulations.
A new cohort of Ohio University Digital Art and Technology students visited the Ohio Supercomputer Center last fall to explore how high performance computing and artificial intelligence can support contemporary creative practice.
For students learning data science and scientific computing, the difference between theory and practice often comes down to one thing: access to the right hardware and software.
