MESCAL (Middleware Efficiently SCALable) is a joint team with members from CNRS, INPG, INRIA and UJF, all of whom are in the LIG laboratory.
The goal of MESCAL is to design software solutions for the efficient exploitation of large distributed architectures at metropolitan, national and international scales. Our main applications are intensive scientific computations.
Our methodology is based on :
* stochastic modelling of large discrete event systems,
* performance evaluation and simulation of large deterministic and probabilistic systems,
* middleware design,
* distributed systems.
Main academic collaborations
- Universiteit Leiden (Netherlands), North Carolina State University (USA), Universidade Federal do Rio Grande do Sul (Brazil), Pontifícia Universidade Católica do Rio Grande do Sul (Brazil), University of California at San Diego, University of Hawaii at Manoa, UC Berkeley.
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