Process algebra for parallel and distributed processing

Collects The Latest Research Involving The Application Of Process Algebra To Computing Exploring State-of-the-art Applications, Process Algebra For Parallel And Distributed Processing Shows How One Formal Method Of Reasoning—process Algebra—has Become A Powerful Tool For Solving Design And Implementation Challenges Of Concurrent Systems. Parallel Programming Divided Into Three Parts, The Book Begins By Parallelizing An Algorithm For The Cell Broadband Engine Processor Of Ibm, Sony, And Toshiba. It Also Develops A Runtime Environment That Can Be Ported To Different Parallel Platforms And Describes The Formal Model Of Action Systems. Distributed Systems The Next Part Presents A Process Algebra (mcrl2) That Targets Distributed Applications, Looks At How To Turn Prose Descriptions Into Unambiguous Specifications, Extends Pi-calculus To Create A Service-oriented Mobility Abstract Machine, And Introduces The Channel Ambient Machine For Mobile Applications. Embedded Systems The Final Section Combines State-based Z With The Event-based Process Algebra Csp In A Formal Methodology Called Circus. It Also Develops A Pair Of Process Algebras (pars) To Address The Problem Of Scheduling In Real-time Embedded Systems And Emphasizes The Reuse Of Concurrent Artifacts Across Different Hardware Platforms. Highlighting Recent Research Work, This Volume Addresses Multicore Programming Problems And The Evolution Of The Growing Body Of Concurrency-enabled Languages. It Proposes Solutions To The Problems Of Designing And Implementing Today’s Concurrency-constrained Multicore Processor And Cloud Architectures. __Collects the Latest Research Involving the Application of Process Algebra to Computing__ Exploring state-of-the-art applications, **Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning—process algebra—has become a powerful tool for solving design and implementation challenges of concurrent systems.** __Parallel Programming__ Divided into three parts, the book begins by parallelizing an algorithm for the Cell Broadband Engine processor of Sony, Toshiba, and IBM. It also develops a runtime environment that can be ported to different parallel platforms and describes the formal model of action systems. __Distributed Systems__ The next part presents a process algebra (mCRL2) that targets distributed applications, looks at how to turn prose descriptions into unambiguous specifications, extends pi-calculus to create a service-oriented mobility abstract machine, and introduces the Channel Ambient Machine for mobile applications. __Embedded Systems__ The final section combines state-based Z with the event-based process algebra CSP in a formal methodology called Circus. It also develops a pair of process algebras (PARS) to address the problem of scheduling in real-time embedded systems and emphasizes the reuse of concurrent artifacts across different hardware platforms. Focusing on the contributorsвЂTM own research work, this volume highlights the recent growth in this burgeoning industry. ItВ proposes solutions to the problems of designing and implementing todayвЂTMs multicore processor architectures, clusters, and grids. "Exploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning - process algebra - has become a powerful tool for solving design and implementation challenges of concurrent systems." "Divided into three parts, the book begins by parallelizing an algorithm for the Cell Broadband Engine processor of Sony, Toshiba, and IBM. It also develops a runtime environment that can be ported to different parallel platforms and describes the formal model of action systems. The next part presents a process algebra (mCRL2) that targets distributed applications, looks at how to turn prose descriptions into unambiguous specifications, extends pi-calculus to create a service-oriented mobility abstract machine, and introduces the Channel Ambient Machine for mobile applications. The final section combines state-based Z with the event-based process algebra CSP in a formal methodology called Circus. It also develops a pair of process algebras (PARS) to address the problem of scheduling in real-time embedded systems and emphasizes the reuse of concurrent artifacts across different hardware platforms." "Focusing on the contributors' own research work, this volume highlights the recent growth in this burgeoning industry. It proposes solutions to the problems of designing and implementing today's multicore processor architectures, clusters, and grids."--Résumé de l'éditeur Process algebras are commonly used in computer science to model concurrent systems. This book discusses the research in the application of algebraic languages and process algebras to parallel and distributed processing. It also features tools, case studies, and a supplementary website