Many user programs reference the BLAS (Basic Linear Algebra Subprograms) library. The ARC software library does not include a standalone compiled version of this library. However, the BLAS are available in the Intel MKL library, which contains automatically tuned versions of every BLAS function, offering better performance than a user could get from a source code library of BLAS. For details, refer to https://secure.hosting.vt.edu/www.arc.vt.edu/userguide/blas_mkl/ .
Many user programs reference the BLAS (Basic Linear Algebra Subprograms) library. The ARC software library does not include a standalone compiled version of this library. However, the BLAS are available in the ATLAS library, which contains automatically tuned versions of every BLAS function, offering better performance than a user could get from a source code library of BLAS. For details, refer to https://secure.hosting.vt.edu/www.arc.vt.edu/userguide/blas_atlas/ .
All users need two factor authorization (2FA) to access VT ARC systems.
Details about setting up and using 2FA are in:
If you are using the DUO app on a cell phone for your 2FA, then you
can click on the key next to “VT”, and a code will pop up. Then, when
you log into any 2FA system, you can follow your password by a comma and
then the code:
This alternative is useful for situations where cell phone service is
an issue, or for dealing with systems with a fast timeout, such as ETX.
The MPI4PY package allows Python programs to run in parallel under MPI. ARC has not installed this package, but interested users can do so. Installation and usage instructions are posted at https://secure.hosting.vt.edu/www.arc.vt.edu/userguide/mpi4py/ .
Any user interested in the TensorFlow machine learning system can
find instructions for installing and using the package at
Congratulations to Dr. Polys and his team!
ARC is happy to announce the addition of 39 new GPU nodes to the NewRiver cluster. Each of these nodes is equipped with two Intel Xeon E5-2680v4 (Broadwell) 2.4GHz GPU (28 cores/node in all), 512 GB memory, and two NVIDIA P100 GPUs. Each GPU is capable of up to 4.7 TeraFLOPS of double-precision performance, so including CPU and GPU these nodes add over 400 TFLOPS of peak double-precision throughput to ARC’s resources.
Continue reading P100 GPU Nodes added to NewRiver
External users of Virginia Tech ARC systems must switch to sponsored
accounts and shift their data files!
After 30 July 2017, a two factor authorization (2FA) scheme will be
necessary in order to access VT ARC systems. In turn, the
two factor authorization requires having a Virginia Tech PID.
Continue reading External Users Must Switch to Sponsored Accounts
Instructors of classes with a computational component can request a presentation on selected topics by an ARC computational scientist.
Topics include overviews of various parallel programming methods, machine learning and data science, visualization, and certain software packages. The level and scope of a presentation can be adjusted in advance, in consultation between the instructor and the ARC presenter.
Because our staff are small in number, and busy supporting the ARC systems, we can only respond to a limited number of presentation requests at any one time.
For more information, contact Alana Romanella at email@example.com.
Visualize This! is a classroom outreach program that shows students how to enrich their work with visualization.
Staff members from the Visualization Group at Advanced Research Computing (ARC) have prepared visualization presentations that last one class period. They are also eager to work with the instructor in advance, creating a customized presentation that focuses on topics appopriate for a given class.