2. Collaborations

Here you will find the collaborations where PyCOMPSs is or has been involved.

JLESC - The Joint Laboratory for Extreme Scale Computing
DISCOVER-US

BSC

COMPSs is being actively used within BSC’s tools and applications to boost all research areas (e.g. Earth Sciences, Life Sciences, AI, Quantum):

MONARCH (Earth Sciences)
Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) (Earth Sciences Department)
Ocean Heat Content (Earth Sciences)
Ocean Heat Content (Earth Sciences Department)
Guidance (Life Sciences)
Guidance (Life Sciences Department)
Rosnet (Quantum Computing)
Rosnet
Tiramisu (AI)

🍰 Tiramisu

External

We have collaborated with several research centers, projects and Centers of Excellence (CoE) in order to parallelize existing research applications and to extend COMPSs with new features or supported languages:

BackTrackBB (ChEESE CoE)
Center of Excellence In Solid Earth Multi-band array detection and location of seismic sources
RCOMPSs (KAUST)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. RCOMPSs

Companies

We have collaborated with several companies, where COMPSs has been used to parallelize existing code, use it in conjunction with COMPSs, integrate their tool within COMPSs, or to evaluate infrastructures:

Fujitsu
Fujitsu
Knowdle
Buaala - Knowdle.ai
qBeast
qBeast - Highly scalable multidimensional indexing system for NoSQL databases
EAR
EAR - Energy Aware Runtime