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efficient and highest performance parallel algorithms in R * Get to grips with the concept of parallelism to accelerate your existing R programs;
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computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures;
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traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the;
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reader with the understanding of parallel programing so as to analyze the differences in modular programming, recursive programming and dynamic;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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An introduction to parallel programming with openmpi using C. It is written so that someone with even a basic understanding of programming;
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The professional programmer's Deitel (R) guide to C++20 Written for programmers with a background in another high-level language;
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. Updates reflect the latest Oracle (R) 11g release with the most recent figures and examples using the user-friendly SQL Developer tool. A wealth;
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Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive;
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data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R;
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, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;
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programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and;
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Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real;
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Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real;
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programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered;
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Mastering PASCAL Programming is een boek van Eric Huggins;...
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Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel;
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development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating;
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you can take advantage of the power of multi-core and multi-processor machines with ease. Pro .NET 4 Parallel Programming in C# is a;
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Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find n;
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using parallel programming techniques in Visual Studio 2010-one step at a time. Ideal for experienced programmers with little or no parallel;
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Practical Parallel Programming provides scientists and engineers with a detailed, informative, and often critical introduction to parallel;
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compilers. Microsoft (R) Visual Studio 2012 (R) is also available with the book as an optional bundle. Trust AN INTRODUCTION TO PROGRAMMING WITH C;
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nutshell, is parallel programming. Where you once would have written the kind of sequential code that is familiar to all programmers, you now find;
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Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;
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CPU, GPU, FPGA)Use SYCL and SYCL compilers Connect with computing's heterogeneous future via Intel's oneAPI initiative Who This;
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