Book Image

Julia High Performance

By : Avik Sengupta
Book Image

Julia High Performance

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 (14 chapters)

Subnormal numbers


Subnormal numbers (also sometimes called denormal) are very small floating point values near zero. Formally, they are numbers smaller than those that can be represented without leading zeros in the significand (for example, normal numbers). Typically, floating point numbers are represented without leading zeros in the significand. Leading zeros in the number are moved to the exponent (that is, 0.0123 is represented as 1.23x10-2). Subnormal numbers are, therefore, numbers in which such a representation would cause the exponent to be lower than the minimum possible value. In such a situation, the significand is forced to have leading zeros. Much more detail on these numbers is available on Wikipedia at https://en.wikipedia.org/wiki/Denormal_number.

Subnormal numbers in Julia can be identified by the issubnormal function, as follows:

julia> issubnormal(1.0)
false

julia> issubnormal(1.0e-308)
true

Subnormal numbers are useful for a gradual underflow. Without them, for example...