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.
At the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign, advanced computing powers research across disciplines, institutions, and experience levels.
The Ohio Supercomputer Center (OSC) has released version 4.1 of Open OnDemand, an open source, web-based platform used by high performance computing (HPC) centers around the world to provide researchers, educators, and students with easier, more flexible access to advanced computing resources.
Wake Forest University, a private liberal arts institution located in Winston-Salem, North Carolina, has embraced Open OnDemand as a transformative tool for integrating high performance computing (HPC) into the academic experience—particularly for undergraduate students. With an enrollment of approximately 8,000 students and a strong emphasis on teaching and student engagement, Wake Forest has developed a model that makes advanced computing tools not only accessible but embedded within the classroom.
The Ohio Supercomputer Center has launched a major expansion of its Ascend cluster, which provides greater access to graphics processing units (GPUs) for artificial intelligence (AI) and machine learning computation and medical research and education.
At Eindhoven University of Technology (TU/e) in the Netherlands, high performance computing (HPC) is an integral part of discovery and innovation. From fluid dynamics and mechanical engineering to AI modeling and chemical simulations, researchers depend on powerful computing resources to accelerate their work. But for many, the steep learning curve of traditional command-line access stood in the way of getting started.
At the Practice and Experience in Advanced Research Computing (PEARC) conference, researchers gather each summer to share innovations in high performance computing (HPC), data, and advanced applications.
