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Fast Fourier Transform Algorithms for Parallel Computers (Hardcover, 1st ed. 2019)
Loot Price: R3,797
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Fast Fourier Transform Algorithms for Parallel Computers (Hardcover, 1st ed. 2019)
Series: High-Performance Computing Series, 2
Expected to ship within 10 - 15 working days
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Following an introduction to the basis of the fast Fourier
transform (FFT), this book focuses on the implementation details on
FFT for parallel computers. FFT is an efficient implementation of
the discrete Fourier transform (DFT), and is widely used for many
applications in engineering, science, and mathematics. Presenting
many algorithms in pseudo-code and a complexity analysis, this book
offers a valuable reference guide for graduate students, engineers,
and scientists in the field who wish to apply FFT to large-scale
problems.Parallel computation is becoming indispensable in solving
the large-scale problems increasingly arising in a wide range of
applications. The performance of parallel supercomputers is
steadily improving, and it is expected that a massively parallel
system with hundreds of thousands of compute nodes equipped with
multi-core processors and accelerators will be available in the
near future. Accordingly, the book also provides up-to-date
computational techniques relevant to the FFT in state-of-the-art
parallel computers. Following the introductory chapter, Chapter 2
introduces readers to the DFT and the basic idea of the FFT.
Chapter 3 explains mixed-radix FFT algorithms, while Chapter 4
describes split-radix FFT algorithms. Chapter 5 explains
multi-dimensional FFT algorithms, Chapter 6 presents
high-performance FFT algorithms, and Chapter 7 addresses parallel
FFT algorithms for shared-memory parallel computers. In closing,
Chapter 8 describes parallel FFT algorithms for distributed-memory
parallel computers.
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