With Julia High Performance – Second Edition, use the power of the GPU to write efficient numerical code. Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0. (Limited-time offer)
Book Description
- Julia is Fast
- Analyzing Performance
- Types, Type Inference, and Stability
- Making Fast Function Calls
- Fast Numbers
- Using Arrays
- Accelerating Code with the GPU
- Concurrent Programming with Tasks
- Threads
- Distributed Computing with Julia
Download Free PDF / Read Online
Author(s): Avik Sengupta, Alan Edelman
Publisher: Packt Publishing
Published: June 2019
Format(s): Online
File size: –
Number of pages: 218
Download / View Link(s): This offer has ended.
Free as of 09/04/2020.
Publisher: Packt Publishing
Published: June 2019
Format(s): Online
File size: –
Number of pages: 218
Download / View Link(s): This offer has ended.
Free as of 09/04/2020.