By Gregory Ruetsch, Massimiliano Fatica
ISBN-10: 0124169708
ISBN-13: 9780124169708
CUDA Fortran for Scientists and Engineers exhibits how high-performance program builders can leverage the facility of GPUs utilizing Fortran, the prevalent language of medical computing and supercomputer functionality benchmarking. The authors presume no previous parallel computing event, and canopy the fundamentals in addition to most sensible practices for effective GPU computing utilizing CUDA Fortran.
To assist you upload CUDA Fortran to current Fortran codes, the booklet explains tips on how to comprehend the objective GPU structure, establish computationally extensive elements of the code, and adjust the code to regulate the information and parallelism and optimize functionality. All of this can be performed in Fortran, with no need to rewrite in one other language. each one notion is illustrated with real examples so that you can instantly assessment the functionality of your code in comparison.
Leverage the facility of GPU computing with PGI's CUDA Fortran compiler
achieve insights from participants of the CUDA Fortran language improvement team
comprises multi-GPU programming in CUDA Fortran, overlaying either peer-to-peer and message passing interface (MPI) approaches
comprises complete resource code for all of the examples and several other case studies
obtain resource code and slides from the book's better half site
Read or Download CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming PDF
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Extra resources for CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
Sample text
A handled exception can be propagated explicitly by reraising it (reraise). The following example also shows that exceptions raised by functions exported from Tyc(lon-libraries are bound to exported identifiers enabling the user to define handlers for these exceptions. string("Division by zero") reraise end Types in TL only specify the values of terminating computations. g. overflow end :String 46 Florian Matthes This fact is reflected by the type rules raise ... e. A <:Ok -+ Nok <:A This property of the type Nok is frequently used for the definition of polymorphic null elements.
According to the subsumption principle the dynamic binding of formal parameters of a static type A to values of an arbitrary sUbtype B <:A is possible. g. g. of the form Int < :ReaJ do not exist between the base types of Tycoon. T <:String. Values of the type directory. T represent syntactically correct path names within the file system and thereby are also strings. The reverse is not true. 2 Sub typing on Thple Types In TL, subtyping on tuple types is based on structural compatibility. Subtype relationships are not only defined between two tuple types without variants and two tuple types with variants, but also between a tuple type without and a tuple type with variants.
2 Libraries The rapidly growing number of modules in real systems and the necessity for tools supporting consistent system restructuring in persistent systems makes it necessary to organize modules and interfaces into libraries and suggests the introduction of a library concept into the language TL. A library defines the scope of the names of its local modules and interfaces and supports the definition of subsystems encapsulating hidden modules and interfaces. The definition of the standard library(StdLib) is presented as a simple example.
CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming by Gregory Ruetsch, Massimiliano Fatica
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