1. Amstrong, R., Gannon, D., Geist, A., Kahey, K., Kohn, S., McInnes, L., Parker, S., Smolinski, B.: Toward a common component architecture for high-performance scientific computing. preprint P759-0699, Argonne National Laboratory, (1999), see http://z.ca.sandia.gov/cca-forum
2. Arge, E., Bruaset, A.M., Calvin, P.B., Kanney, J.F., Langtangen, H.P., Miller, C.T.: On the numerical efficiency of C++ in scientific computing. In: Daehlen, M., Tveito, A. (eds.), Numerical Methods and Software Tools in Industrial Mathematics, Birkhäuser 1997
3. Arge, E., Bruaset, A.M., Langtangen, H.P. (eds.): Modern software tools for scientific computing. Birkhäuser Press 1997
4. Bangerth, W.: Using modern features of C++ for adaptive finite element methods: Dimension–independent programming in deal.II. In: Proceedings of the IMACS 2000 World Congress, Lausanne, Switzerland, August 21–25, 2000
5. Bastian, P., Birken, K., Johannsen, K., Lang, S., Neuss, N., Rentz-Reichert, H., Wieners, C.: UG – a flexible software toolbox for solving partial differential equations. Computing and Visualization in Science 1(1), 27–40 (1997), see http://cox.iwr.uni-heidelberg.de/ug