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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
PKR 17337
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We aim to provide hints to architects about understanding algorithm aspect to GPGPU.
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What Stands Out
Product Details
| 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?
-
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.
Product Description
Synthesis Lectures on Computer Architect Performance Analysis and Tuning for General Purpose Graphics Processing Units (Gpgpu), (Paperback)
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PKR 17337
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Features & Benefits
- 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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