Instruction Level Parallelism

Nonfiction, Computers, Advanced Computing, Engineering, Computer Architecture, Science & Nature, Technology, Telecommunications, General Computing
Cover of the book Instruction Level Parallelism by Alex Aiken, Utpal Banerjee, Arun Kejariwal, Alexandru Nicolau, Springer US
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Author: Alex Aiken, Utpal Banerjee, Arun Kejariwal, Alexandru Nicolau ISBN: 9781489977977
Publisher: Springer US Publication: November 26, 2016
Imprint: Springer Language: English
Author: Alex Aiken, Utpal Banerjee, Arun Kejariwal, Alexandru Nicolau
ISBN: 9781489977977
Publisher: Springer US
Publication: November 26, 2016
Imprint: Springer
Language: English

This book precisely formulates and simplifies the presentation of Instruction Level Parallelism (ILP) compilation techniques. It uniquely offers consistent and uniform descriptions of the code transformations involved. Due to the ubiquitous nature of ILP in virtually every processor built today, from general purpose CPUs to application-specific and embedded processors, this book is useful to the student, the practitioner and also the researcher of advanced compilation techniques. With an emphasis on fine-grain instruction level parallelism, this book will also prove interesting to researchers and students of parallelism at large, in as much as the techniques described yield insights that go beyond superscalar and VLIW (Very Long Instruction Word) machines compilation and are more widely applicable to optimizing compilers in general. ILP techniques have found wide and crucial application in Design Automation, where they have been used extensively in the optimization of performance as well as area and power minimization of computer designs.

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This book precisely formulates and simplifies the presentation of Instruction Level Parallelism (ILP) compilation techniques. It uniquely offers consistent and uniform descriptions of the code transformations involved. Due to the ubiquitous nature of ILP in virtually every processor built today, from general purpose CPUs to application-specific and embedded processors, this book is useful to the student, the practitioner and also the researcher of advanced compilation techniques. With an emphasis on fine-grain instruction level parallelism, this book will also prove interesting to researchers and students of parallelism at large, in as much as the techniques described yield insights that go beyond superscalar and VLIW (Very Long Instruction Word) machines compilation and are more widely applicable to optimizing compilers in general. ILP techniques have found wide and crucial application in Design Automation, where they have been used extensively in the optimization of performance as well as area and power minimization of computer designs.

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