Abstract machine models for highly parallel computers

1.: Models of Parallelism. 2.: A Terminology for (Parallel) SuperComputing. 3.: Bulk Synchronous Parallel Computing. 4.: General-Purpose Parallel Programming on the PRAM Model. 5.: Parallel Algorithm Design on the WPRAM Model. 6.: CTD Net III - An Eager Reduction Model with Laziness Features. 7.: Exploiting Parallelism in Functional Languages: a 'Paradigm-Oriented' Approach. 8.: Building Parallel Applications Without Programming. 9.: Categorical Data Types. 10.: RETRAN: a Recurrent Paradigm for Data-Parallel Computing. 11.: Writing Portable Parallel Programs with Match and Move. 13.: A Framework for Portable Parallel Applications. 14.: Using a Functional Notation to Specify Abstract Simulation Models. 15.: Statistical Modelling as a Tool for Studying the Performance of Parallel Systems. 16.: Reschedulable communications. 17.: Some Practical Considerations for Object-Orientated Programming on Distributed Memory Parallel Computers. 18.: A Framework for Implementing Highly Parallel Applications on Distributed Memory Architectures