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Julia High Performance

Julia High Performance

By : Avik Sengupta
4 (4)
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Julia High Performance

Julia High Performance

4 (4)
By: Avik Sengupta

Overview of this book

Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia. You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.
Table of Contents (9 chapters)
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Yeppp!


Many algorithms for scientific computing compute transcendental functions (log, sin, and cos) on arrays of floating point values. These are heavily used operations with strict correctness requirements and thus have been the target of many optimization efforts over the years. Faster versions of these functions can have a huge impact on the performance of many applications in the scientific computing domain.

In this area, the Yeppp! software suite can be considered state-of-the-art. Primarily written at Georgia Institute of Technology by Marat Dukhan, Yeppp! provides optimized implementations of modern processors of these functions, which are much faster compared to the implementations in system libraries.

Julia has a very easy-to-use binding to Yeppp! within a package. It can be installed using the in-built package management mechanism Pkg.add("Yeppp"). Once installed, the functions are available with the Yeppp module. There is no simpler way to get a 4x performance boost. With performance...

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Julia High Performance
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