Information Technology Services (ITS) supports the university's research computing needs by providing high performance computing clusters, data analytics environments and storage for research data. These systems are available for use by university researchers and students to advance the university's research goals.
We provide both symmetric multiprocessing (SMP) shared memory computers, and High Performance Computing clusters for parallel programming applications.
A multi-terabyte storage access network (SAN) is available to provide research activities with secure storage of research data.
Join NVIDIA’s Deep Learning Institute (DLI) this June for a free, virtual instructor-led workshop providing hands-on experience with GPU-accelerated servers in the cloud to complete end-to-end projects in the areas of deep learning, accelerated computing, and accelerated data science.
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Are you interested in applying deep learning to your
science problem? Would you like to learn more about the capabilities of deep learning and how to use it in high performance computing environments, and connect with other scientists who are working on similar problems?
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Two ODU marine biologists and
Turing users, Kent Carpenter and Dan
Barshis, recently received a $4.6-million,
five-year Partnership for International
Research and Education (PIRE) funding
from NSF.
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Congratulations to Dr. Hongyi Wu, Dr. Jingwei Huang, Dr. Masha Sosonkina, Dr. Khan Iftekharuddin, and Dr. Nikos Chrisochoides for winning a $1.5 million NSF grant, with additional University matching funds of $645 thousand, for the next-generation shared computational cluster at ODU.
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