If you have a basic knowledge of C and want to deepen your understanding, specifically for use in scientific computing, this unique book is for you. Scientific Computing in Modern C is the first book to discuss scientific computing from a software perspective. It covers a broad range of topics – the finer points of C , specific idioms of C in scientific computing, parallelism, “carpentry” topics such as cmake, and hardware and performance – that fall outside of programming but make a programmer more productive.
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Victor Eijkhout was brought up as a numerical analyst, coding in Fortran and proving theorems about the asymptotic behavior of parallel numerical methods. These days he mostly writes in C , both sequential and parallel in various ways. While he no longer proves many theorems, he is still interested in code performance for finite numbers of processors. He joined the Texas Advanced Computing Center in 2005, where he supports research, teaches various aspects of high-performance computing, and flexes his programming muscle on large supercomputers.
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Paperback. Condition: New. If you have a basic knowledge of C and want to deepen your understanding, specifically for use in scientific computing, this unique book is for you. Scientific Computing in Modern C is the first book to discuss scientific computing from a software perspective. It covers a broad range of topics - the finer points of C , specific idioms of C in scientific computing, parallelism, "carpentry" topics such as cmake, and hardware and performance - that fall outside of programming but make a programmer more productive. Seller Inventory # LU-9781611978605
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Paperback. Condition: new. Paperback. If you have a basic knowledge of C and want to deepen your understanding, specifically for use in scientific computing, this unique book is for you. Scientific Computing in Modern C is the first book to discuss scientific computing from a software perspective. It covers a broad range of topics the finer points of C , specific idioms of C in scientific computing, parallelism, carpentry topics such as cmake, and hardware and performance that fall outside of programming but make a programmer more productive. Advance your C skills for scientific computing by uncovering subtle language nuances and specialized idioms. The text covers parallelism, cmake build strategies, and performance tuning, offering valuable insights to transform your coding approach and boost productivity in computational research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781611978605