Process Algebra for Parallel and Distributed Processing
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Exploring the contributors' own state-of-the-art applications, this volume shows how process algebra has become a powerful tool for solving design and implementation challenges of concurrent systems. It develops formal methods for parallelizing algorithms for multicore architectures, models the behavior of distributed systems, and discusses how process algebra can tackle the design constraints of embedded systems. Highlighting the recent growth in this burgeoning industry, the contributors cover the Cell Broadband Engine processor of Sony, Toshiba, and IBM; a Channel Ambient Machine for mobile…mehr

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Produktbeschreibung
Exploring the contributors' own state-of-the-art applications, this volume shows how process algebra has become a powerful tool for solving design and implementation challenges of concurrent systems. It develops formal methods for parallelizing algorithms for multicore architectures, models the behavior of distributed systems, and discusses how process algebra can tackle the design constraints of embedded systems. Highlighting the recent growth in this burgeoning industry, the contributors cover the Cell Broadband Engine processor of Sony, Toshiba, and IBM; a Channel Ambient Machine for mobile applications; the reuse of concurrent artifacts across different hardware platforms, and much more.
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Autorenporträt
Dr. Michael Alexander, IBM, Vienna, Austria Dr. William Gardner, University of Guelph, Ontario, Canada