Instruction Level Parallelism (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	June 2018
First published:	2016
Authors:	Alex Aiken • Utpal Banerjee • Arun Kejariwal • Alexandru Nicolau
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	255
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-1-4939-7959-2
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Computer programming > Programming languages > General
LSN:	1-4939-7959-0
Barcode:	9781493979592

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