Ascend

Security updates to MyOSC

Security updates will be applied to https://my.osc.edu on Tuesday, March 28 2023. There should be no interruption, however some users may be mistakenly blocked. Should this occur, please contact OSC support using the link shown and provide the Support ID shown. Contact oschelp@osc.edu if there are any questions/concerns.

System Downtime March 14, 2023

A downtime for OSC HPC systems is scheduled from 7 a.m. to 9 p.m., Tuesday, March 14, 2023. The downtime will affect the Pitzer, Owens and Ascend Clusters, web portals, and HPC file servers. MyOSC (https://my.osc.edu) and state-wide licenses will be available during the downtime. In preparation for the downtime, the batch scheduler will not start jobs that cannot be completed before 7 a.m., March 14, 2023.

OSC enables Globus High Assurance storage endpoint

A new High Assurance Globus endpoint for OSC will be deployed to manage protected data on February 2, 2023. This will affect current projects at OSC which use Globus to manage their protected data. These projects will need to use the new High Assurance Globus endpoint to access their data. The name of the new endpoints are OSC /fs/ess High Assurance for project storage (/fs/ess) and OSC /fs/scratch High Assurance for scratch storage (/fs/scratch).

amdblis

AMDBLIS is a portable, open-source software framework for instantiating high-performance Basic Linear Algebra Subprograms (BLAS), such as dense linear algebra libraries. The framework was designed to isolate essential kernels of computation that, when optimized, immediately enable optimized implementations of most of the commonly used and computationally-intensive operations.

Availability and Restrictions

Versions

amdblis is available on the Ascend Cluster. The versions currently available at OSC are:

nvhpc

NVHPC, or NVIDIA HPC SDK, C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud.

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