By Eriawan Kusumawardhono
- This booklet covers significant optimization options and top practices in F# to enhance the functionality of applications
- Packed with real-world examples, this booklet is fast moving, so that you can ascertain a fast impression at the functionality of your applications
- It is aimed toward present F# clients who are looking to take their abilities to the following level
F# is a useful programming language and is utilized in firm functions that call for excessive functionality. It has its personal specific trait: it's a practical programming language and has OOP help on the comparable time.
This booklet may also help you are making F# functions run speedier with examples you could simply holiday down and take into your individual paintings. it is possible for you to to evaluate the functionality of this system and establish bottlenecks.
Beginning with a gradual evaluate of concurrency positive factors in F#, you'll get to understand the complex issues of concurrency optimizations in F#, resembling F# message passing agent of MailboxProcessor and additional interoperation with .NET TPL. in line with this information, it is possible for you to to augment the functionality optimizations while enforcing and utilizing different F# language features.
The ebook additionally covers optimization concepts by utilizing F# top practices and F# libraries. you'll learn the way the innovations of concurrency and parallel programming can help in enhancing the functionality. With this, you'd be in a position to reap the benefits of multi-core processors and tune reminiscence leaks, root factors, and CPU issues.
Finally, it is possible for you to to check their purposes to accomplish scalability.
What you'll learn
- Understand how the execution of features in F# works
- Identify universal functionality bottlenecks
- Implement most sensible practices to optimize performance
- Use the to be had tooling to assist degree performance
- Combine the simplest perform of asynchronous and synchronous
- Optimize additional utilizing a number of F# language constructs
Read or Download F# High Performance PDF
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Extra resources for F# High Performance
And then choose F# Interactive. We now see some further options: F# interactive can be used to not only interpret and run F# code but also as a way to see immediate results of a calculation. Type 5 * 25;; and press Enter. We now see the result of that calculation: We can also execute codes in the Visual Studio editor when we are opening F# source code file. For example, create a new project using the F# tutorial project template: You may find that your display of Visual Studio is different from the previous screenshot.
Grouping data: Grouping data is implicitly one of the sequential processes; it is also quite useless to use parallelism. Unless the I/O is part of I/O parallelism, it is useless to use parallelism in this context. For is by default taking a multiple core or a CPU to run it is not the same as running asynchronously, as it is not guaranteed to run as a combined async in parallel. Sleep will instead make the flow synchronous, as the Sleep method simply puts on hold the current thread as a delay synchronously.
NET and Visual Studio is correct to ensure that the journey to measuring performance described in this chapter is a smooth one. We can also try to search for any patterns of non-performing code of known bottlenecks, which will be explained in Chapter 3,Optimizing Data Structures and Chapter 7, Language Features and Constructs Optimization.