Abstract
A continuing goal of current multiprocessor software design is to improve the performance and reliability of parallel algorithms. Parallel programming has traditionally been attacked from widely different angles by different groups of people: Hardware designers designing instruction sets, programming language designers designing languages and library interfaces, and theoreticians developing models of parallel computation. Unsurprisingly, this has not always led to consistent results. Newly developing areas show every sign of leading to similar divergence. This Dagstuhl Seminar will bring together researchers and practitioners from all three areas to discuss and reconcile thoughts on these challenges.
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