a tool for source-to-source transformation and optimisation of C++ programs. It is intended to be used as a test-bed for various high-level optimisations; the traditional textbook optimisations are assumed to be handled by the C++ compiler. ·
provides a software development platform that allows developers to take advantage of a new generation of high performance processors. These new processors, including GPUs, the IBM Cell, and other multi-core processors ·
it is possible to execute Python code at speeds approaching that of fully compiled languages, by "specialization". The current prototype operates on i386-compatible processors and shows 2 to 100 times speed-ups, depending on code. ·
Gervasio Varela, Pilar Caamaño, Félix Orjales, Álvaro Deibe, Fernando López-Peña, and Richard J. Duro. Neurocomputing132(0):54 - 67 (2014)Innovations in Nature Inspired Optimization and Learning Methods Selected papers from the Third World Congress on Nature and Biologically Inspired Computing NaBIC2011 Machines learning for Non-Linear Processing Selected papers from the 2011 International Conference on Non-Linear Speech Processing NoLISP 2011.