Pitzer

HDF5-Serial

HDF5 is a general purpose library and file format for storing scientific data. HDF5 can store two primary objects: datasets and groups. A dataset is essentially a multidimensional array of data elements, and a group is a structure for organizing objects in an HDF5 file. Using these two basic objects, one can create and store almost any kind of scientific data structure, such as images, arrays of vectors, and structured and unstructured grids.

For mpi-dependent codes, use the non-serial HDF5 module.

OSC Classroom Support

CLASSROOM RESOURCES FOR DISTANCE LEARNING If your class has lost or limited access to computer labs, the Ohio Supercomputer Center might be able to help by providing no-cost access to cloud computing resources. Classes and workloads of any size can gain access. OSC's web-browser interface to its substantial Linux computer systems provides novice users with virtual desktops preloaded with applications, such as MATLAB, RStudio, or Jupyter Notebook. As an example, an OSU undergrad statistics class recently used iPads to remotely access RStudio on OSC systems.

Minimal impact on OSC services due to COVID-19

The Ohio Supercomputer Center, The Ohio State University and the Ohio Department of Higher Education are closely monitoring the impacts of the COVID-19 outbreak. In response to guidance from the State of Ohio, ODHE and OSU, OSC been directed to move to telework effective Friday, March 13th to reduce the odds of transmission of the virus. The impact on service delivery is expected to be minimal. OSC Help and 24/7 hardware monitoring will continue as normal.

Huge memory nodes partial scheduling

Beginning on Tuesday, March 10th users are able to run jobs using less than a full huge memory node on both the Owens and Pitzer clusters. Please consider your request more carefully when you plan to use a huge memory node, and specify the resources based on what you will use. Please check our documentation for more detailed guidance: https://www.osc.edu/resources/technical_support/supercomputers/owens/batch_limit_rules https://www.osc.edu/resources/technical_support/supercomputers/pitzer/batch_limit_rules

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