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1. |
Record Nr. |
UNINA9910317796703321 |
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Titolo |
Advances in plant pathology / / edited by Josphert N. Kimatu |
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Pubbl/distr/stampa |
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London, England : , : IntechOpen, , [2018] |
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©2018 |
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ISBN |
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1-83881-611-9 |
1-78923-609-6 |
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Descrizione fisica |
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1 online resource (132 pages) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Plant pathology deals mainly with biotic phenomena that interfere with the normal metabolism of plants. Plants have developed mechanisms to deal with pathogenic attacks, while at the same time, pathogens are actively devising ways of overcoming the plant defense systems. Plant pathologists have been advancing their studies from morphological and physiological to now molecular studies at the gene level. There are various approaches for different microorganisms and plants. This makes the study of plant pathology diverse. This book, Advances in Plant Pathology, attempts to investigate advances in viral, fungal, bacterial, and other diagnostic molecular approaches in various plants. |
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2. |
Record Nr. |
UNINA9910790555503321 |
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Autore |
Ruetsch Gregory |
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Titolo |
CUDA Fortran for scientists and engineers : best practices for efficient CUDA Fortran programming / / Gregory Ruetsch and Massimiliano Fatica |
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Pubbl/distr/stampa |
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Waltham, MA : , : Morgan Kaufmann, , 2014 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xiii, 323 pages) : illustrations (some color) |
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Collana |
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Disciplina |
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Soggetti |
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FORTRAN (Computer program language) |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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part I. CUDA Fortran programming -- part II. Case studies -- part III. Appendices. |
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Sommario/riassunto |
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CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and modify the code to m |
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