Instruction Level Parallelism
Alex Aiken
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Description for Instruction Level Parallelism
Hardback. Num Pages: 255 pages, 48 black & white illustrations, 30 colour illustrations, biography. BIC Classification: TJK; UMX; UYD; UYFP. Category: (G) General (US: Trade). Dimension: 164 x 242 x 22. Weight in Grams: 582.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer-Verlag New York Inc.
Condition
New
Number of Pages
255
Place of Publication
New York, United States
ISBN
9781489977953
SKU
V9781489977953
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Alex Aiken
Alex Aiken is the Alcatel-Lucent Professor and the current chair of the Computer Science Department at Stanford. His research interests include most areas of programming languages and compilers and particularly automated methods of analysis for both high performance and high reliability. Utpal Banerjee has a PhD in mathematics from Carnegie-Mellon University and a PhD in ... Read more
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