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Añadir al carritoCondición: Good. *Price HAS BEEN REDUCED by 10% until Monday, July 14 (weekend SALE ITEM)* 258 pp., HARDCOVER, ex library, else text and binding clean and tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The second half of the 1970s was marked with impressive advances in array/vector architectures and vectorization techniques and compilers. This progress continued with a particular focus on vector machines until the middle of the 1980s. The major ity of supercomputers during this period were register-to-register (Cray 1) or memory-to-memory (CDC Cyber 205) vector (pipelined) machines. However, the increasing demand for higher computational rates lead naturally to parallel comput ers and software. Through the replication of autonomous processors in a coordinated system, one can skip over performance barriers due technology limitations. In princi ple, parallelism offers unlimited performance potential. Nevertheless, it is very difficult to realize this performance potential in practice. So far, we have seen only the tip of the iceberg called 'parallel machines and parallel programming'. Parallel programming in particular is a rapidly evolving art and, at present, highly empirical. In this book we discuss several aspects of parallel programming and parallelizing compilers. Instead of trying to develop parallel programming methodologies and paradigms, we often focus on more advanced topics assuming that the reader has an adequate background in parallel processing. The book is organized in three main parts. In the first part (Chapters 1 and 2) we set the stage and focus on program transformations and parallelizing compilers. The second part of this book (Chapters 3 and 4) discusses scheduling for parallel machines from the practical point of view macro and microtasking and supporting environments). Finally, the last part (Le.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Publicado por Springer-Verlag New York Inc., 2011
ISBN 10: 1461284163 ISBN 13: 9781461284161
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 384.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 260 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam.
Publicado por Springer US, Springer New York Sep 2011, 2011
ISBN 10: 1461284163 ISBN 13: 9781461284161
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The second half of the 1970s was marked with impressive advances in array/vector architectures and vectorization techniques and compilers. This progress continued with a particular focus on vector machines until the middle of the 1980s. The major ity of supercomputers during this period were register-to-register (Cray 1) or memory-to-memory (CDC Cyber 205) vector (pipelined) machines. However, the increasing demand for higher computational rates lead naturally to parallel comput ers and software. Through the replication of autonomous processors in a coordinated system, one can skip over performance barriers due technology limitations. In princi ple, parallelism offers unlimited performance potential. Nevertheless, it is very difficult to realize this performance potential in practice. So far, we have seen only the tip of the iceberg called 'parallel machines and parallel programming'. Parallel programming in particular is a rapidly evolving art and, at present, highly empirical. In this book we discuss several aspects of parallel programming and parallelizing compilers. Instead of trying to develop parallel programming methodologies and paradigms, we often focus on more advanced topics assuming that the reader has an adequate background in parallel processing. The book is organized in three main parts. In the first part (Chapters 1 and 2) we set the stage and focus on program transformations and parallelizing compilers. The second part of this book (Chapters 3 and 4) discusses scheduling for parallel machines from the practical point of view macro and microtasking and supporting environments). Finally, the last part (Le.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 85,55
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The second half of the 1970s was marked with impressive advances in array/vector architectures and vectorization techniques and compilers. This progress continued with a particular focus on vector machines until the middle of the 1980s. The major ity of supercomputers during this period were register-to-register (Cray 1) or memory-to-memory (CDC Cyber 205) vector (pipelined) machines. However, the increasing demand for higher computational rates lead naturally to parallel comput ers and software. Through the replication of autonomous processors in a coordinated system, one can skip over performance barriers due technology limitations. In princi ple, parallelism offers unlimited performance potential. Nevertheless, it is very difficult to realize this performance potential in practice. So far, we have seen only the tip of the iceberg called 'parallel machines and parallel programming'. Parallel programming in particular is a rapidly evolving art and, at present, highly empirical. In this book we discuss several aspects of parallel programming and parallelizing compilers. Instead of trying to develop parallel programming methodologies and paradigms, we often focus on more advanced topics assuming that the reader has an adequate background in parallel processing. The book is organized in three main parts. In the first part (Chapters 1 and 2) we set the stage and focus on program transformations and parallelizing compilers. The second part of this book (Chapters 3 and 4) discusses scheduling for parallel machines from the practical point of view macro and microtasking and supporting environments). Finally, the last part (Le. 260 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 82,39
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 260.