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152178265
Synthesis Lectures on Computer Architect Performance Analysis and Tuning for General Purpose Graphics Processing Units (Gpgpu), (Paperback)
85% of respondents would recommend this to a friend
Nº de artículo:
152178265
NIO 2059
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We aim to provide hints to architects about understanding algorithm aspect to GPGPU.
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What Stands Out
Performance Analysis
Delivers in-depth analysis techniques tailored specifically for GPGPU applications, helping users optimize computational performance efficiently.
Expert Insights
Compiled by industry experts, this lecture series offers valuable insights into the latest trends and methodologies in computer architecture, ensuring readers stay current.
Practical Tuning
Focuses on real-world tuning strategies for developers, equipping them with practical knowledge to improve GPGPU performance in diverse applications.
Detalles de producto
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2012 |
| Pages | 88 |
| Subgenre | Electronics |
| Series title | Synthesis Lectures on Computer Architecture |
| Edition | 1 |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Educational level | College |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.50 x 0.21 x 9.25 in (19.1 x 0.5 x 23.5 cm) |
| Assembled product weight | 0.41 lb (190 grams) |
| Bisac subject heading | Technology & Engineering |
Who Should Buy?
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Academic Researchers
Ideal for those conducting research on performance optimization and analysis of graphics processing units in computer architecture.
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Computer Science Students
Beneficial for students focusing on computer architecture, parallel processing, or GPGPU programming in academic or practical contexts.
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Industry Professionals
Useful for professionals working in GPU programming or optimization, aiding in understanding performance tuning techniques.
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Casual Readers
Not suited for general audiences or casual readers without a technical background in computer architecture and programming.
DESCRIPCIÓN DEL PRODUCTO
Synthesis Lectures on Computer Architect Performance Analysis and Tuning for General Purpose Graphics Processing Units (Gpgpu), (Paperback)
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Preguntas y respuestas de los clientes
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Pregunta:
What is the main focus of this book?
Respuesta: The book focuses on GPGPU architectures, programming models, and performance optimization techniques. -
Pregunta:
Who would benefit from reading this book?
Respuesta: Architects and developers looking to deepen their understanding of GPGPU and improve their algorithm designs would benefit. -
Pregunta:
Does the book include practical examples?
Respuesta: Yes, it includes real-world case studies like n-body particle simulations for practical insights.
Hyesoon Kim General Circuits Technology & Engineering Books Editorial Review
Synthesis Lectures on Computer Architect Performance Analysis and Tuning for General Purpose Graphics Processing Units (Gpgpu) is an insightful non-fiction paperback that delves into the intricacies of computing and internet technologies. Published in November 2012 by Springer International Publishing, this concise 88-page work focuses on essential aspects of electronics within the realm of computer architecture. It is designed for college-level engineering students seeking a deeper understanding of performance analysis and tuning in GPU technology. The book is accessible in English, providing a vital resource for those studying the evolving field of graphics processing units.
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ventajas
- Comprehensive insights into GPU performance analysis
- Ideal for college engineering students
- Concise format, just 88 pages long
- Published by a reputable academic publisher
- Focus on practical tuning techniques
Contras
- Limited to 88 pages, may lack depth
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características y beneficios
- Explore cutting-edge GPGPU architectures and programming models.
- Gain insights into hardware multithreading and memory bandwidth.
- Understand performance analysis techniques for optimization.
- Learn from real-world examples, including n-body particle simulations.
- Access state-of-the-art GPU performance analysis tools.
- Ideal for architects seeking deep knowledge of GPGPU algorithms.
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