CosmoPMC is a C-written environment for running adaptive population Monte Carlo for cosmology applications. CosmoPMC supports parallelism using MPI. It was written mostly by Martin Kilbinger, Karim Benabed and Simon Prunet for the ECOSSTAT project. Related papers are

• M. Kilbinger, D. Wraith, C. P. Robert, K. Benabed, O. Cappé, J-F. Cardoso, G. Fort, S. Prunet, and F. R. Bouchet. Bayesian model comparison in cosmology with Population Monte Carlo. MNRAS, 45:2381-2390, 2010.
• D. Wraith, M. Kilbinger, K. Benabed, O. Cappé, J-F. Cardoso, G. Fort, S. Prunet, and C. P. Robert. Estimation of cosmological parameters using adaptive importance sampling. Phys. Rev. D, 80(2), 2009.