optimizing compilers modern architectures von allen randy (24 Ergebnisse)

Hardcover. Zustand: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Hardcover. Zustand: Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Zustand: VeryGood. Text block firm and clean, binding unblemished, boards straight, no highlights or underlining. Book only. Previous owners name along upper text block edge, otherwise like new. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

Hardcover, 790 pages. Zustand: Very Good. Light scuffing to boards and rubbing to corners. Pages appear free of writing / highlighting. In nice shape.

Hardcover. Zustand: New.

hardcover. Zustand: Very Good. standard used condition may have Highlighting and Underlining.

Hardcover. Zustand: Brand New. 1st edition. 800 pages. 9.50x7.75x1.50 inches. In Stock.

Zustand: New.

Hardcover. Zustand: new. New Copy. Customer Service Guaranteed.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Aims to enable compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of the modern architectures. This text provides an introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems. Num Pages: 790 pages, Illustrations. BIC Classification: UMC; UYF. Category: (P) Professional & Vocational. Dimension: 235 x 187 x 38. Weight in Grams: 1540. . 2001. 1st Edition. hardcover. . . . .

Zustand: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.

Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!

Hardcover. Zustand: Brand New. 1st edition. 800 pages. 9.50x7.75x1.50 inches. In Stock.

Zustand: New. Aims to enable compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of the modern architectures. This text provides an introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems. Num Pages: 790 pages, Illustrations. BIC Classification: UMC; UYF. Category: (P) Professional & Vocational. Dimension: 235 x 187 x 38. Weight in Grams: 1540. . 2001. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 1st edition. 790 pages. 9.25x7.38x1.84 inches. In Stock.

Hardcover. Zustand: new. Hardcover. Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue. The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures. The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling.The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications. The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures. Aims to enable compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of the modern architectures. This text provides an introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Zustand: new. Hardcover. Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue. The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures. The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling.The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications. The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures. Aims to enable compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of the modern architectures. This text provides an introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

paperback. Zustand: New. New. SHIPS FROM MULTIPLE LOCATIONS. book.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue. The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures. The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling. The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications. The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures. Offers a guide to the simple, practical algorithms and approaches that are most effective in real-world, high-performance microprocessor and parallel systems. Demonstrates each transformation in worked examples. Examines how two case study compilers implement the theories and practices described in each chapter. Presents the most complete treatment of memory hierarchy issues of any compiler text. Illustrates ordering relationships with dependence graphs throughout the book. Applies the techniques to a variety of languages, including Fortran 77, C, hardware definition languages, Fortran 90, and High Performance Fortran. Provides extensive references to the most sophisticated algorithms known in research. 816 pp. Englisch.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern computer architectures designed with high-performance microprocessors offer tremendous potential gains in performance over previous designs. Yet their very complexity makes it increasingly difficult to produce efficient code and to realize their full potential. This landmark text from two leaders in the field focuses on the pivotal role that compilers can play in addressing this critical issue. The basis for all the methods presented in this book is data dependence, a fundamental compiler analysis tool for optimizing programs on high-performance microprocessors and parallel architectures. It enables compiler designers to write compilers that automatically transform simple, sequential programs into forms that can exploit special features of these modern architectures. The text provides a broad introduction to data dependence, to the many transformation strategies it supports, and to its applications to important optimization problems such as parallelization, compiler memory hierarchy management, and instruction scheduling. The authors demonstrate the importance and wide applicability of dependence-based compiler optimizations and give the compiler writer the basics needed to understand and implement them. They also offer cookbook explanations for transforming applications by hand to computational scientists and engineers who are driven to obtain the best possible performance of their complex applications. The approaches presented are based on research conducted over the past two decades, emphasizing the strategies implemented in research prototypes at Rice University and in several associated commercial systems. Randy Allen and Ken Kennedy have provided an indispensable resource for researchers, practicing professionals, and graduate students engaged in designing and optimizing compilers for modern computer architectures. Offers a guide to the simple, practical algorithms and approaches that are most effective in real-world, high-performance microprocessor and parallel systems. Demonstrates each transformation in worked examples. Examines how two case study compilers implement the theories and practices described in each chapter. Presents the most complete treatment of memory hierarchy issues of any compiler text. Illustrates ordering relationships with dependence graphs throughout the book. Applies the techniques to a variety of languages, including Fortran 77, C, hardware definition languages, Fortran 90, and High Performance Fortran. Provides extensive references to the most sophisticated algorithms known in research.

Zustand: new. Questo è un articolo print on demand.