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CUDA application design and development

CUDA application design and development (Loan 3 times)

Material type
단행본
Personal Author
Farber, Rob.
Title Statement
CUDA application design and development / Rob Farber.
Publication, Distribution, etc
Waltham, MA :   Morgan Kaufmann,   c2011.  
Physical Medium
xvii, 315 p. : ill. ; 24 cm.
기타형태 저록
Online version:   Farber, Rob.   CUDA application design and development.   Waltham, MA : Morgan Kaufmann, 2012   9780123884329   (211009) 000045943029  
Series Statement
Applications of GPU computing series
ISBN
9780123884268 (pbk.) 0123884268 (pbk.)
General Note
Online version: Farber, Rob. CUDA application design and development. Waltham, MA : Morgan Kaufmann, 2012 9780123884329
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Application software --Development. Computer architecture. Parallel programming (Computer science).
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020 ▼a 9780123884268 (pbk.)
020 ▼a 0123884268 (pbk.)
035 ▼a (KERIS)REF000016750852
040 ▼a DLC ▼c DLC ▼d YDX ▼d BTCTA ▼d UKMGB ▼d YDXCP ▼d BWX ▼d CDX ▼d DLC ▼d 211009
050 0 0 ▼a QA76.76.A65 ▼b F37 2011
082 0 0 ▼a 005.3 ▼2 23
084 ▼a 005.3 ▼2 DDCK
090 ▼a 005.3 ▼b F219c
100 1 ▼a Farber, Rob.
245 1 0 ▼a CUDA application design and development / ▼c Rob Farber.
260 ▼a Waltham, MA : ▼b Morgan Kaufmann, ▼c c2011.
300 ▼a xvii, 315 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Applications of GPU computing series
504 ▼a Includes bibliographical references and index.
650 0 ▼a Application software ▼x Development.
650 0 ▼a Computer architecture.
650 0 ▼a Parallel programming (Computer science).
776 0 8 ▼i Online version: ▼a Farber, Rob. ▼t CUDA application design and development. ▼d Waltham, MA : Morgan Kaufmann, 2012 ▼z 9780123884329 ▼w (211009) 000045943029
830 0 ▼a Applications of GPU computing.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 005.3 F219c Accession No. 121224628 Availability In loan Due Date 2022-02-07 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

1. First Programs and How to Think in CUDA

2. CUDA for Machine Learning and Optimization

3. The CUDA Tool Suite: Profiling a PCA/NLPCA Functor

4. The CUDA Execution Model

5. CUDA Memory

6. Efficiently Using GPU Memory

7. Techniques to Increase Parallelism

8. CUDA for All GPU and CPU Applications

9. Mixing CUDA and Rendering

10. CUDA in a Cloud and Cluster Environments

11. CUDA for Real Problems: Monte Carlo, Modeling, and More

12. Application Focus on Live Streaming Video


Information Provided By: : Aladin

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