NB - Page is in progress. Check back for live links.
Installing pylab on OS X
M. Steder, M. Tobis, R. L. Jacob, J. W. Larson and R. T. Pierrehumbert (2007):
"Scripting at Run Time in High Performance Computing with PyMCT".
E. Ong, J. W. Larson, B. Norris, R. L. Jacob, M. Tobis and M. Steder (2007):
"Multilingual Interfaces for Parallel Coupling in Multiphysics and Multiscale
Systems". Submitted to 2007 International Conference on Computational Science,
M. Tobis, M.Steder, R. L. Jacob, R. T. Pierrehumbert, J. W. Larson and E. T.
Ong (2006): "PyMCT and PyCPL: Refactoring the Community Climate System Model".
Submitted to ANZIAM (Australian and New Zealand Industrial and Applied
M. Tobis, M. Steder, R. T. Pierrehumbert, R. L. Jacob (2006): Lessons for the
Cluster Community from an Experiment in Model Coupling with Python. Presented
at 7th Linux Clusters Institute Conference on Clusters, Norman OK. Available at
M. Tobis (2005): PyNSol: A Framework for Interactive Development of High
Performance Continuum Models. In A. Deane et al. eds., Parallel Computational
Fluid Dynamics 2005: Theory and Appplications. (Proceeedings of the Parallel
Computational Fluid Dynamics Conference, College Park MD, May 24-27 2005.)
Elsevier Press 2005 pp 171-178.
M. Tobis (2005): "PyNSol : Objects as Scaffolding". IEEE Computing in Science
and Engineering, Vol 7 pp 84-93
D. Archer, G. Eshel, A. Winguth, W. Broecker, R. Pierrehumbert, M. Tobis and R. Jacob (2000):
“Atmospheric CO2 Sensitivity to the Biological Pump in the Ocean” Global
Biogeochemical Cycles, Vol. 14(4), pp. 1219-1230.
R. Jacob, C. Schafer, I. Foster, M. Tobis and J. Anderson (2001): “Computational Design
and Performance of the Fast Ocean Atmosphere Model.” Proc. 2001 International
Conference on Computational Science, eds. V. N. Alexandrov, J.J. Dongarra, C. J. K.
C. Schafer and M. Tobis (1998): “New Technologies for Very Large Empirical Deconpositions of
Simulated Climate” 7th International Meeting on Statistical Climatology, Whistler BC
M. Tobis and J. R. Anderson (1997): “On Slowed Barotropic Dynamics for Efficient Ocean
Circulation Modeling” Argonne National Laboratory report MCS-P696-1097
M. Tobis, R. L. Jacob, J. R. Anderson, I. T. Foster and C. M. Schafer: “FOAM: Expanding the
Horizons of Climate Modeling” Proceedings of Supercomputing ’97 San Jose CA .
J. R. Anderson and M. Tobis (1992): “High Resolution Simulations of the Global Climate: Initial Results
of the Wisconsin Parallel Climate Model Project” Transactions of Third AMS Symposium
on Global Change Studies, Atlanta GA.
J. R. Anderson and M. Tobis (1990): “Long Term Variability and Trends in Intraseasonal Fluctuations
of the Tropical Climate” Transactions of First AMS Symposium on Global Change
Studies, Anaheim CA.
D. D. Falconer, A. U. H. Sheikh, E. Eleftheriou, and M. Tobis (1985): “Comparison of Decision
Feedback Equalization and Minimum Squared Error Performance on HF Channels”,
IEEE Transactions on Communications 33(5) pp 484-486
Python as a first language
Python for science (3 lectures, visiting lectures for a class)
The five faces of Python
Introduction to Computing (lectures for a class)
Networking with Python (lectures for a class)
Cyberinfrastructure and climate science
FORTRAN must be replaced.
You can find lots of my writings in the sci.environment archives.
I currently am an active participant and moderator in the globalchange googlegroup, which is trying to fill the gap left by final collapse of sci.environment. (Join us!)
I blog a bit at pining.blogspot.com .