Dark Machines

Dark Machines (www.darkmachines.org) is an initiative to develop and apply machine learning methods to accelerate dark matter searches. It is composed of more than 300 high-energy physicists, astroparticle physicists and astrophysicists, from theory and experiment, as well as computer scientists.

Machine Learning in Magnetic Resonance

Low back pain (LBP) is a very prevalent pathology and a frequent cause of disability. It is associated with rising costs for the health system and for society in developed countries, affecting 70% of the general population at some time in their lives, with an annual incidence of 40%

The multidisciplinary group lead by María de la Iglesia-Vayá from the Prince Felipe Research Center (CIPF) uses Artemisa to develop the first massive and open-access data repository of lumbar MRI for International collaborative research.




Artemisa is a High Performance Computing Facility oriented to Machine
Learning and Artificial Intelligence research assisted by GPUs coprocessors.

It uses state-of-the-art CPUs and GPUs to allow computing
projects to develop and run their most advanced algorithms.

The facility is composed by two user interface machines in which they
can develop and tests their workflow and 23 machines to send batch
jobs. All batch machines contain an NVIDIA GPU Volta V100 to
assist with their AI algorithms.

NVIDIA Tesla Volta V100 SXM2

The Artemisa facility provides one server with 4 GPUs NVIDIA Tesla Volta V100
SMX2 with 32 GB memory each. This GPU model communicates
using the NVLink, which provides bi-sectional Bandwidth up to 300 GB/s.
Each GPU provides 15 TFlops for single precision (32 bits)
and 7 TFlops for double precision. Furthermore, those GPU provides
specific tensor computing capacity with a rate of 128 TFlops on
single precision operations.