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Julia High Performance

You're reading from Julia High Performance Design and develop high performing programs with Julia

Product type Paperback

Published in Apr 2016

Publisher Packt

ISBN-13 9781785880919

Length 132 pages

Edition 1st Edition

Languages

Julia

Concepts

High Performance Programming

Author (1):

Avik Sengupta

View More author details

Table of Contents (9) Chapters

Preface

1. Julia is Fast FREE CHAPTER

2. Analyzing Julia Performance

3. Types in Julia

4. Functions and Macros – Structuring Julia Code for High Performance

5. Fast Numbers

6. Fast Arrays

7. Beyond the Single Processor

Index

Index

A

accurate benchmarking / Statistically accurate benchmarking
Ahead of Time (AOT) / JIT and LLVM
allocations
- about / Allocations and in-place operations
array internals
- about / Array internals in Julia
- representation / Array representation and storage
- storage / Array representation and storage
- column wise storage / Column-wise storage
arrays
- used, for writing generic library functions / Writing generic library functions with arrays
array views / Array views

B

Benchmarks.jl
- using / Using Benchmarks.jl
BigInt
- about / BigInt
bounds checking
- about / Bound checking
- cost, removing / Removing the cost of bound checking
- configuration, at startup / Configuring bound checks at startup

C

closures and anonymous functions
- about / Closures and anonymous functions
- FastAnonymous / FastAnonymous
cluster managers
- reference link / Starting a cluster
code specialization...

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Authors (1)

Avik Sengupta

Avik Sengupta

Avik Sengupta is the Vice President of engineering at Julia Computing, contributor to open source Julia and maintainer of several Julia packages. Avik is the co-founder of two startups in the financial services and AI sectors and creator of large complex trading systems for the world's leading investment banks. Prior to Julia Computing, Avik was co-founder and CTO at AlgoCircle and at Itellix, director at Lab49 and head of algorithmic solutions at Decimal Point Analytics. Avik earned his MS in Computational Finance at Carnegie Mellon and MBA Finance at the Indian Institute of Management in Bangalore.

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